{ "count" : 37642, "data" : [ { "id" : "6a2c94e574d8ee00a098bd4f", "title" : "Monitoring and Evaluation Specialist", "company" : "Dexis", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring and Evaluation Specialist in Washington, D.C., adjusted for the healthcare industry and company size." }, "location" : "Washington, District of Columbia, United States", "locations" : [ "Washington", "District of Columbia", "United States" ], "timestamp" : "2026-06-15T06:57:43.252", "fingerprint" : "ae68f223da997581d9788150c0ad44e2a8e14d32842dbabc04182bb4f8bd17ed", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://dexisonline.com/jobs/?gh_jid=4705619005", "externalId" : "4705619005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Program monitoring", "Evaluation research", "Performance management", "Data analysis", "Data visualization", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement" ], "hardSkillsList" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery" ], "softSkillsList" : [ "Trust", "Respect", "Fairness", "Inclusiveness" ], "hardSkills" : [ { "name" : "Evaluation research", "level" : "intermediate" }, { "name" : "Implementation research", "level" : "intermediate" }, { "name" : "Global health security", "level" : "intermediate" }, { "name" : "International public health", "level" : "intermediate" }, { "name" : "Federal agency support", "level" : "intermediate" }, { "name" : "Data collection systems", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Analytical tools", "level" : "intermediate" }, { "name" : "Technical reporting", "level" : "intermediate" }, { "name" : "Presentation delivery", "level" : "intermediate" }, { "name" : "Task management", "level" : "intermediate" }, { "name" : "Deadline management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboard development", "level" : "intermediate" }, { "name" : "Stakeholder engagement", "level" : "intermediate" }, { "name" : "Technical assistance delivery", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Trust" }, { "name" : "Respect" }, { "name" : "Fairness" }, { "name" : "Inclusiveness" } ], "majorSkills" : "Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance", "majorSkillsList" : [ "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance" ], "coreResponsibilities" : "Maintain data collection platforms, Enhance data collection platforms, Track program implementation, Support FETP monitoring, Collect program data, Validate program data, Manage program data, Support performance tracking, Develop data analysis products, Develop visualization products, Report implementation progress, Train stakeholders, Train country offices, Train implementing partners, Provide technical assistance, Support evaluation tool design, Support evaluation methodology refinement, Coordinate evaluation activities, Conduct data collection, Conduct data analysis, Conduct data synthesis, Support evaluation efforts, Prepare written reports, Prepare oral reports, Summarize evaluation findings, Summarize evaluation conclusions, Summarize evaluation recommendations, Support dissemination of products, Support archiving of products, Prepare project status reports, Align reports with work plans, Align reports with reporting requirements, Assist in presentation development, Assist in briefing development, Ensure compliance with reporting requirements, Ensure compliance with data collection standards, Support process improvement", "teamCollaboration" : "Country offices; Implementing partners; CDC staff; Global stakeholders", "projectManagementSkills" : [ "Work plans", "Reporting requirements" ], "domainKnowledge" : "Global health security; Public health initiatives; Field Epidemiology Training Program; International public health programs; Federal reporting requirements; Data collection standards", "domainList" : [ "global-health-security", "public-health-initiatives", "field-epidemiology-training-program", "international-public-health-programs", "federal-reporting-requirements", "data-collection-standards" ], "domainSpecificKnowledge" : [ "Global health security", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards" ], "toolProficiency" : [ "Data collection platforms", "Databases", "Analytical tools", "Data visualization tools", "Dashboard development tools" ], "communicationSkills" : "Technical reports; Presentations; Briefings", "documentationSkills" : "Technical reports", "problemSolvingSkills" : "Data analysis; Data synthesis", "specialRequirements" : "International travel", "outcomesObjectives" : "Assess program effectiveness; Assess program efficiency; Assess program impact; Support evidence-based decision-making", "qualificationsBasic" : "Master's degree in Public Health, 4+ years M&E experience, 2+ years global health experience, Federal agency experience, Data collection systems experience, Database management experience, Analytical skills, Writing skills, Communication skills, Manage multiple tasks, Meet reporting deadlines", "qualificationsPreferred" : "FETP experience, Workforce development experience, CDC experience, International technical assistance experience, Data visualization proficiency, Dashboard development proficiency, Train diverse audiences, Facilitate stakeholder engagement", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U. S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Monitoring and Evaluation (M&E) Specialist will provide technical support to the Office of Monitoring and Evaluation (OME), Division of Global Health Protection (DGHP), Global Health Center (GHC), in support of program monitoring and evaluation activities. The Specialist will contribute to strengthening global health security by supporting the monitoring, evaluation, and performance management of DGHP-supported programs, including the Field Epidemiology Training Program (FETP) and other public health initiatives. This position supports implementation monitoring, evaluation activities, and reporting to assess program effectiveness, efficiency, and impact, while contributing to evidence-based decision-making across the Division. The position may be performed at a government facility, remotely, or in a hybrid arrangement and may include international travel to support country-level technical assistance. This position is contingent upon award. Responsibilities Maintain and enhance data collection platforms and databases to track program implementation, including tools supporting FETP monitoring Collect, validate, and manage quarterly program data to support performance tracking Develop data analysis and visualization products to report on implementation progress Train stakeholders, including country offices and implementing partners, on monitoring tools and systems Provide technical assistance to DGHP-supported country programs, including international travel to support monitoring activities Support design, refinement, and implementation of evaluation tools and methodologies Coordinate evaluation activities across program stakeholders Conduct data collection, analysis, and synthesis to support evaluation efforts Prepare written and oral reports summarizing evaluation findings, conclusions, and recommendations Support dissemination and archiving of evaluation products Support preparation of project status reports aligned with program work plans and reporting requirements Assist in development of presentations, briefings, and other communication products for stakeholders Collaborate with CDC staff, implementing partners, and global stakeholders Ensure compliance with federal reporting requirements and data collection standards Support continuous improvement of monitoring, evaluation, and learning processes across DGHP Qualifications Master’s degree in Public Health, Epidemiology, Global Health, or a related field Minimum of 4 years of experience in public health program monitoring, evaluation, or implementation research At least 2 years of experience in global health security or related international public health programs Demonstrated experience supporting or working with federal agencies on similar monitoring and evaluation activities Experience with data collection systems, database management, and analytical tools Strong analytical, writing, and communication skills, including preparation of technical reports and presentations Ability to manage multiple tasks and meet reporting deadlines in a dynamic environment Preferred Qualifications Experience supporting Field Epidemiology Training Programs (FETP) or workforce development initiatives Experience working with CDC or similar public health agencies Experience delivering technical assistance in international settings Proficiency in data visualization, reporting tools, and dashboard development Experience training diverse audiences and facilitating stakeholder engagement Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law. As part of a competitive benefits package for eligible employees, Dexis provides healthcare insurance in addition to other staff welfare benefits and perks.", "summaryDescription" : "Monitoring and Evaluation Specialist at Dexis. Skills: Monitoring and Evaluation, Global Health Security, Data Analysis, Technical Assistance. Maintain data collection platforms. Enhance data collection platforms", "postedDate" : "2026-06-14T08:35:46.700", "createdAt" : "2026-06-14T08:35:46.700", "lastUpdated" : "2026-06-15T06:57:43.252", "ingestTimestamp" : "2026-06-14T08:35:46.700", "mongoId" : "6a2c94e574d8ee00a098bd4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Evaluation research", "Implementation research", "Global health security", "International public health", "Federal agency support", "Data collection systems", "Database management", "Analytical tools", "Technical reporting", "Presentation delivery", "Task management", "Deadline management", "Data visualization", "Dashboard development", "Stakeholder engagement", "Technical assistance delivery", "Trust", "Respect", "Fairness", "Inclusiveness", "Monitoring and Evaluation", "Global Health Security", "Data Analysis", "Technical Assistance", "Program monitoring", "Performance management", "Data analysis", "Technical assistance", "Methodology refinement", "Stakeholder coordination", "Data synthesis", "Report preparation", "Dissemination strategy", "Archiving strategy", "Project reporting", "Presentation development", "Briefing development", "Compliance assurance", "Data standards", "Process improvement", "Work plans", "Reporting requirements", "Public health initiatives", "Field Epidemiology Training Program", "International public health programs", "Federal reporting requirements", "Data collection standards", "Data collection platforms", "Databases", "Data visualization tools", "Dashboard development tools" ], "skillCount" : 51, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 816.7406, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f38f292fd229cf79dec", "title" : "Laboratory Instrumentation and Validation Specialist", "industry" : "Analytical Development", "salary" : { "min" : 115500.0, "max" : 154000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Laboratory Instrumentation and Validation Specialist in Bend, United States, adjusted for mid-level experience and the pharmaceutical industry." }, "location" : "Bend, Oregon", "locations" : [ "Bend, Oregon" ], "timestamp" : "2026-06-16T13:01:57.502", "fingerprint" : "7bc1ba0d772d53097f9ea1b531126d0bc8ab69aba7c71b2072051732108b071e", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/seranbio/49ba7cca-2458-4a3d-a651-69a5fac60095/apply", "externalId" : "49ba7cca-2458-4a3d-a651-69a5fac60095", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bend", "state" : "Oregon", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.0581728,-121.3153096" } ], "locationText" : "Bend, Oregon, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "HPLC, Dissolution, Balances, FTIR", "professionalSkills" : [ "Resource planning", "Lifecycle management", "Root cause analysis", "Workload management", "Budgetary input" ], "hardSkillsList" : [ "Instrument onboarding", "Installation", "Qualification", "Computer system validation", "Validation documentation", "Instrument repairs", "Preventive maintenance", "Calibration programs", "Metrology programs", "Deviation investigations", "CAPA management", "Change control", "SOP maintenance", "Work instruction maintenance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Instrument onboarding", "level" : "intermediate" }, { "name" : "Installation", "level" : "intermediate" }, { "name" : "Qualification", "level" : "intermediate" }, { "name" : "Computer system validation", "level" : "intermediate" }, { "name" : "Validation documentation", "level" : "intermediate" }, { "name" : "Instrument repairs", "level" : "intermediate" }, { "name" : "Preventive maintenance", "level" : "intermediate" }, { "name" : "Calibration programs", "level" : "intermediate" }, { "name" : "Metrology programs", "level" : "intermediate" }, { "name" : "Deviation investigations", "level" : "intermediate" }, { "name" : "CAPA management", "level" : "intermediate" }, { "name" : "Change control", "level" : "intermediate" }, { "name" : "SOP maintenance", "level" : "intermediate" }, { "name" : "Work instruction maintenance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Laboratory instrumentation, Validation, Quality systems, CGMP", "majorSkillsList" : [ "Laboratory instrumentation", "Validation", "Quality systems", "CGMP" ], "coreResponsibilities" : "Support data integrity, Support audit readiness, Support lifecycle management of electronic laboratory systems, Support lifecycle management of analytical equipment, Lead instrument onboarding, Lead installation, Lead qualification, Lead computer system validation (CSV) activities, Author validation documentation, Review validation documentation, Maintain validation documentation, Perform routine troubleshooting of laboratory instruments, Perform non-routine troubleshooting of laboratory instruments, Coordinate instrument repairs, Coordinate preventive maintenance, Coordinate service activities with internal teams, Coordinate service activities with external vendors, Oversee instrument repairs, Oversee preventive maintenance, Oversee service activities with internal teams, Oversee service activities with external vendors, Support calibration programs, Support metrology programs, Contribute to deviations, Contribute to investigations, Contribute to CAPAs, Contribute to change controls, Maintain SOPs, Maintain work instructions, Maintain related documentation, Participate in internal audits, Participate in external audits, Provide documentation during audits, Provide subject-matter expertise during audits, Provide corrective action support during audits, Manage vendor relationships, Manage service contracts, Provide budgetary input for equipment lifecycle planning, Recruit new staff, Interview new staff, Hire new staff, Train new staff, Oversee daily workflow, Assign tasks, Provide performance evaluations, Handle discipline of employee, Handle termination of employee, Ensure team compliance with training requirements, Ensure team compliance with safety programs, Ensure team compliance with GMP expectations", "teamCollaboration" : "Collaborate cross-functionally", "projectManagementSkills" : [ "Resource planning" ], "domainKnowledge" : "Data integrity; GAMP; GxP; cGMP; 21 CFR Part 11; Drug development; Commercialization; Regulatory guidelines", "domainList" : [ "data-integrity", "gamp", "gxp", "cgmp", "21-cfr-part-11", "drug-development", "commercialization", "regulatory-guidelines" ], "domainSpecificKnowledge" : [ "Data integrity", "GAMP", "GxP", "cGMP", "21 CFR Part 11", "Drug development", "Commercialization", "Regulatory guidelines" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Validation documentation; SOPs; Work instructions", "continuousLearning" : "Maintain current knowledge of new technologies", "problemSolvingSkills" : "Troubleshooting; Root cause analysis; Problem-solving", "specialRequirements" : "Lift up to 35 pounds", "qualificationsBasic" : "Experience supporting laboratory instruments in a QC or regulated laboratory environment, Familiarity with CSV, instrument qualification, and GMP documentation expectations, Hands-on experience with HPLC, dissolution, balances, FTIR or similar analytical instruments, Comprehensive knowledge of quality systems, cGMP, regulatory expectations, Understanding of FDA, EU, Canadian and ICH regulatory guidelines, Ability to maintain current knowledge of new technologies and potential applications, Excellent verbal and written communication skills, Interpersonal skills with the ability to collaborate cross-functionally, Excellent organizational skills, attention to detail, and time management capabilities, Analytical and problem-solving skills with demonstrated integrity in testing and reporting, Effective supervisory and leadership skills, including delegation and workload management, Ability to function well in a high-paced and at times stressful environment, Proficiency with Microsoft Office Suite or related software, Thorough knowledge of cGMP’s, Familiarity with 21 CFR Part 11, Minimum of 1-2 years of experience in a lead or supervisory position, Minimum of 3-5 years of hands-on experience with analytical instrumentation, Must be able to lift up to 35 pounds at times", "qualificationsPreferred" : "Bachelor’s degree in chemistry, engineering, or a related scientific field", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Supervisory Responsibilities Recruits, interviews, hires, and trains new staff in accordance with company procedures. Oversees daily workflow, assigns tasks, and manages resource planning. Provides constructive and timely performance evaluations. Handles discipline and termination of employee in accordance with company policy. Ensures team compliance with training requirements, safety programs and GMP expectations ## Duties and Responsibilities Support data integrity, audit readiness, and lifecycle management of electronic laboratory systems and analytical equipment. Leads instrument onboarding, installation, qualification, and computer system validation (CSV) activities for new or modified laboratory equipment and software systems. Authors, reviews, and maintains validation documentation, ensuring alignment with GAMP and GxP expectations. Performs routine and non-routine troubleshooting of laboratory instruments to identify root causes, restore operation, and minimize downtime. Coordinate and oversees instrument repairs, preventive maintenance, and service activities with internal teams and external vendors. Supports calibration and metrology programs, including scheduling, documentation review, and management of out-of-tolerance events. Owns or contributes to deviations, investigations, CAPAs, and change controls related to laboratory equipment and computerized systems. Maintains and updates SOPs, work instructions, and related documentation to ensure compliance and operation consistency. Participates in internal and external audits, providing documentation, subject-matter expertise, and corrective action support. Manages vendor relationships, service contracts, and provides budgetary input for equipment lifecycle planning. ## Required Skills and Abilities Experience supporting laboratory instruments in a QC or regulated laboratory environment. Familiarity with CSV, instrument qualification, and GMP documentation expectations. Hands-on experience with HPLC, dissolution, balances, FTIR or similar analytical instruments. Comprehensive knowledge of quality systems, cGMP, regulatory expectations across drug development through commercialization. Strong understanding of FDA, EU, Canadian and ICH regulatory guidelines. Ability to maintain current knowledge of new technologies and potential applications. Excellent verbal and written communication skills.  Strong interpersonal skills with the ability to collaborate cross-functionally. Excellent organizational skills, attention to detail, and time management capabilities. Strong analytical and problem-solving skills with demonstrated integrity in testing and reporting. Effective supervisory and leadership skills, including delegation and workload management. Ability to function well in a high-paced and at times stressful environment. Proficiency with Microsoft Office Suite or related software.  ## Education and Experience Bachelor’s degree in chemistry, engineering, or a related scientific field. Thorough knowledge of cGMP’s and familiarity with 21 CFR Part 11. Minimum of 1-2 years of experience in a lead or supervisory position. Minimum of 3-5 years of hands-on experience with analytical instrumentation. ## Physical Requirements Prolonged periods of sitting or standing at a desk and working on a computer. Prolonged periods of sitting or standing in laboratory environment.   Must be able to lift up to 35 pounds at times. Motor skills required for basic laboratory operations.", "summaryDescription" : "Laboratory Instrumentation and Validation Specialist. Skills: Laboratory instrumentation, Validation, Quality systems, CGMP. Support data integrity. Support audit readiness", "postedDate" : "2026-06-15T15:05:12.206", "createdAt" : "2026-06-15T15:05:12.206", "lastUpdated" : "2026-06-16T13:01:57.502", "ingestTimestamp" : "2026-06-16T03:22:51.253", "mongoId" : "6a305f38f292fd229cf79dec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 154000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Instrument onboarding", "Installation", "Qualification", "Computer system validation", "Validation documentation", "Instrument repairs", "Preventive maintenance", "Calibration programs", "Metrology programs", "Deviation investigations", "CAPA management", "Change control", "SOP maintenance", "Work instruction maintenance", "Leadership", "Laboratory instrumentation", "Validation", "Quality systems", "CGMP", "Resource planning", "Lifecycle management", "Root cause analysis", "Workload management", "Budgetary input", "Data integrity", "GAMP", "GxP", "cGMP", "21 CFR Part 11", "Drug development", "Commercialization", "Regulatory guidelines", "Microsoft Office Suite" ], "skillCount" : 33, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 780.28375, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305117f292fd229cef961f", "title" : "Associate Director, Ethics & Compliance - Risk Assessment and Monitoring", "industry" : "Legal", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Ethics & Compliance in the US Biotech industry, adjusted for seniority and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:46:58.941", "fingerprint" : "b120dfc7b7dccb2f4b73dabde3ec731aa86e3b4c660e93ab0b5bcd04bca5927f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/057d728b-eda3-463c-8b06-7fd2a2be6347/apply", "externalId" : "057d728b-eda3-463c-8b06-7fd2a2be6347", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceLevel" : "Director", "professionalSkills" : [ "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking" ], "hardSkillsList" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Behavioral analytics", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Monitoring reports", "level" : "intermediate" }, { "name" : "Dashboards", "level" : "intermediate" }, { "name" : "Field interactions", "level" : "intermediate" }, { "name" : "Advisory boards", "level" : "intermediate" }, { "name" : "Speaker programs", "level" : "intermediate" }, { "name" : "Background checks", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "Governance", "level" : "intermediate" }, { "name" : "Compliance investigations", "level" : "intermediate" }, { "name" : "Digital engagement", "level" : "intermediate" }, { "name" : "AI-driven processes", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Trade compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML", "majorSkillsList" : [ "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML" ], "coreResponsibilities" : "Design and implement RAMP framework, Collect, analyze, and interpret global compliance data, Detect risk patterns, control gaps, fraud indicators, and, Translate findings into actionable executive-level insights, Develop and enhance a dynamic compliance monitoring framework, Build and deliver high-quality monitoring reports and dashboards, Lead or support live monitoring activities, Oversee third-party risk management processes, Ensure data integrity, traceability, and governance, Serve as the primary compliance liaison for Internal, Support planning, testing, documentation review, and remediation actions, Contribute to compliance investigations, Identify and assess emerging risk areas, Support gap assessments and remediation tracking", "teamCollaboration" : "Collaboration with Internal Audit; Collaboration with functional teams; Collaboration with Quality; Collaboration with Finance; Collaboration with external partners; Cross-functional collaboration; Stakeholders across Legal; Stakeholders across Commercial; Stakeholders across Medical; Stakeholders across Finance; Stakeholders across Audit", "domainKnowledge" : "Life sciences compliance; Regulatory requirements; Anti-bribery; Anti-corruption; Global compliance frameworks; Industry best practices; Digital engagement; AI-driven processes; Data privacy; Trade compliance", "domainList" : [ "life-sciences-compliance", "regulatory-requirements", "anti-bribery", "anti-corruption", "global-compliance-frameworks", "industry-best-practices", "digital-engagement", "ai-driven-processes", "data-privacy", "trade-compliance" ], "domainSpecificKnowledge" : [ "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance" ], "communicationSkills" : "Executive reporting; Presentation capabilities", "documentationSkills" : "Documentation review", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Travel approximately 20%", "qualificationsBasic" : "Bachelor’s or Master’s degree, 10+ years of experience, Expertise in risk assessment and monitoring frameworks, Deep understanding of global life sciences compliance frameworks, Analytical skills, Ability to translate complex datasets, Proven experience supporting internal audits, Cross-functional collaboration skills, Excellent written and verbal communication skills, Demonstrated ability to work independently, Experience driving innovation", "qualificationsPreferred" : "Incorporating data analytics, AI, or machine learning, Pharmaceutical or biotech industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and implement an advanced Risk Assessment and Mitigation Plan (RAMP) framework leveraging AI, machine learning, behavioral analytics, and data-driven insights to proactively identify emerging compliance risks. Collect, analyze, and interpret global compliance data to detect risk patterns, control gaps, fraud indicators, and non-compliance trends, translating findings into actionable executive-level insights. Develop and enhance a dynamic compliance monitoring framework in collaboration with Internal Audit and other functional teams, including Quality, Finance, and external partners. Build and deliver high-quality monitoring reports and dashboards, including executive summaries, root cause analyses, and actionable recommendations for risk mitigation. Lead or support live monitoring activities such as field interactions, advisory boards, and speaker programs to ensure adherence to internal policies and regulatory requirements. Oversee third-party risk management processes, including anti-bribery/anti-corruption due diligence, sanctions screening, and background checks. Ensure data integrity, traceability, and governance across all risk assessment and monitoring activities. Serve as the primary compliance liaison for Internal Audit, supporting planning, testing, documentation review, and remediation actions. Contribute to compliance investigations, including root cause analysis and reporting outcomes. Identify and assess emerging risk areas such as digital engagement, AI-driven processes, data privacy, and trade compliance. Support gap assessments and remediation tracking to ensure consistent execution of risk and compliance actions across the organization. Requirements: Bachelor’s or Master’s degree in Life Sciences, Business, Data Science, Law, or a related field. 10+ years of experience in compliance, risk management, audit, or related roles within the pharmaceutical or biotech industry. Strong expertise in designing and implementing risk assessment and monitoring frameworks, ideally incorporating data analytics, AI, or machine learning. Deep understanding of global life sciences compliance frameworks, regulatory expectations, and industry best practices. Strong analytical skills with experience building dashboards, reporting tools, and compliance monitoring systems. Ability to translate complex datasets and regulatory signals into clear, actionable business insights. Proven experience supporting internal audits, inspections, and remediation activities. Strong cross-functional collaboration skills with the ability to influence stakeholders across Legal, Commercial, Medical, Finance, and Audit functions. Excellent written and verbal communication skills, including executive reporting and presentation capabilities. Demonstrated ability to work independently, prioritize effectively, and manage multiple complex initiatives. Experience driving innovation and change within compliance or risk management functions. Willingness to travel approximately 20% as required. Benefits: Competitive base salary range of $172,000 – $236,500, plus eligibility for short- and long-term incentive programs. Comprehensive health coverage including medical, dental, and vision insurance. Retirement savings plan with employer contributions. Life, disability, and additional voluntary insurance benefits. Generous paid time off and flexible work arrangements (remote eligible). Opportunity to shape next-generation, AI-enabled compliance and risk monitoring systems. High-impact leadership role with strong cross-functional visibility and executive exposure. Work within a global, innovation-driven biotech environment focused on ethical growth and patient impact. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Associate Director, Ethics & Compliance - Risk Assessment and Monitoring. Skills: Risk Assessment, Compliance Monitoring, Data Analytics, AI/ML. Design and implement RAMP framework. Collect, analyze, and interpret global compliance data", "postedDate" : "2026-06-15T10:21:26.440", "createdAt" : "2026-06-15T10:21:26.440", "lastUpdated" : "2026-06-16T11:46:58.941", "ingestTimestamp" : "2026-06-16T03:20:44.837", "mongoId" : "6a305117f292fd229cef961f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Behavioral analytics", "Data interpretation", "Monitoring reports", "Dashboards", "Field interactions", "Advisory boards", "Speaker programs", "Background checks", "Data integrity", "Traceability", "Governance", "Compliance investigations", "Digital engagement", "AI-driven processes", "Data privacy", "Trade compliance", "Leadership", "Risk Assessment", "Compliance Monitoring", "Data Analytics", "AI/ML", "Risk management", "Compliance oversight", "Data analysis", "Executive reporting", "Third-party risk management", "Due diligence", "Sanctions screening", "Root cause analysis", "Gap assessments", "Remediation tracking", "Life sciences compliance", "Regulatory requirements", "Anti-bribery", "Anti-corruption", "Global compliance frameworks", "Industry best practices" ], "skillCount" : 37, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 761.9409, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a270f0b99d58ffb52e", "title" : "Hardware Validation Engineer", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Hardware Development, Cloud Hardware Development, Cloud Computing", "salary" : { "min" : 125700.0, "max" : 219900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Cupertino, California, USA", "locations" : [ "Cupertino, California, USA" ], "timestamp" : "2026-06-15T01:24:39.074", "fingerprint" : "87da49c0903518280dc53caa5b4889b565b2476fd5bd73a556351b7cd4844991", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136556/apply", "externalId" : "1b9da91b-0e26-4598-9ef9-52791716a9be", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cupertino", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3228934,-122.0322895" } ], "locationText" : "Cupertino, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, AWS", "professionalSkills" : [ "Hardware validation", "Test strategy design", "Product requirements", "Data analysis", "Process design", "Cost down design", "Sustaining engineering", "New product introduction", "Electrical engineering", "Transmission-line theory", "SI/PI analysis", "PCB PDN design", "High-speed circuit design" ], "hardSkillsList" : [ "Automated functional testing", "System testing", "Scripting languages", "Logic analyzers", "Oscilloscopes", "TDR/VNAs", "Power meters" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Automated functional testing", "level" : "intermediate" }, { "name" : "System testing", "level" : "intermediate" }, { "name" : "Scripting languages", "level" : "intermediate" }, { "name" : "Logic analyzers", "level" : "intermediate" }, { "name" : "Oscilloscopes", "level" : "intermediate" }, { "name" : "TDR/VNAs", "level" : "intermediate" }, { "name" : "Power meters", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Hardware validation, Network products, Test automation, Data analysis", "majorSkillsList" : [ "Hardware validation", "Network products", "Test automation", "Data analysis" ], "coreResponsibilities" : "Develop and implement detailed validation plans, Collaborate with design and production teams, Test against product requirements, Analyze and interpret data from validation tests, Offer insights and recommendations, Design and document validation processes, Document validation findings, Document validation insights, Study component specification, Validate components, Oversee validation equipment use, Guarantee consistent results, Work cross-functionally to troubleshoot hardware issues, Address hardware issues identified during validation, Validate second source qualification, Validate cost down design, Validate manufacturing efficiencies, Support new product introduction, Support sustaining engineering, Develop testing automation, Contribute in testing automation, Devise hardware solutions, Develop software tools, Maintain a highly available network, Design and implement processes, Implement mechanisms, Deliver business impact, Raise the bar on operational excellence, Identify solutions to complex problems, Develop simple solutions, Develop durable solutions, Consider customer needs, Work closely with internal partners, Ensure solutions meet partner needs, Exceed partner expectations, Design hardware, Build software, Own interconnects for routers, Manage fleet of routers, Track key business metrics, Track operational metrics, Ensure smooth operation, Minimize customer impact, Eliminate customer impact", "teamCollaboration" : "Design and production teams; Cross-functionally; Sister teams; Internal partners", "projectManagementSkills" : [ "New product introduction", "Sustaining engineering" ], "domainKnowledge" : "Datacenter networking products; Ethernet switching platforms; Electrical engineering design; Transmission-line theory; SI/PI analysis; PCB PDN design; High-speed circuit designs; AWS infrastructure; Cloud infrastructure", "domainList" : [ "datacenter-networking-products", "ethernet-switching-platforms", "electrical-engineering-design", "transmission-line-theory", "si-pi-analysis", "pcb-pdn-design", "high-speed-circuit-designs", "aws-infrastructure", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Datacenter networking products", "Ethernet switching platforms", "Electrical engineering design", "Transmission-line theory", "SI/PI analysis", "PCB PDN design", "High-speed circuit designs", "AWS infrastructure", "Cloud infrastructure" ], "toolProficiency" : [ "Logic Analyzers", "Oscilloscopes", "TDR/VNAs", "Power Meters" ], "communicationSkills" : "Communicate effectively; Communicate respectfully", "documentationSkills" : "Document validation processes; Document findings; Document insights", "innovationCreativity" : "Develop new test processes; Devise hardware solutions; Develop software tools; Identify and develop simple solutions to complex problems; Develop durable solutions", "problemSolvingSkills" : "Troubleshoot issues; Troubleshoot hardware issues; Identify and develop simple solutions to complex problems", "outcomesObjectives" : "Achieve product reliability; Achieve product quality; Deliver highest standards for safety; Deliver highest standards for security; Provide infinite capacity; Lowest possible cost", "qualificationsBasic" : "Experience testing network products, Experience with building datacenter networking products, Experience with test strategy design for automated functional and system testing, Experience using scripting languages, such as Python, Understanding of electrical engineering design principles, Understanding of transmission-line theory, Understanding of SI/PI analysis, Understanding of PCB PDN design, Understanding of high-speed circuit designs, Experience using high speed Logic Analyzers and Oscilloscopes, Experience using TDR/VNAs, Experience using Power Meters, Experience working with interdisciplinary teams to execute product design from concept to production", "qualificationsPreferred" : "Experience with AWS, Experience with network hardware design, Experience with Ethernet switching platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services’ Network Products Development team is looking for experienced test professionals to help build our next generation networking platforms. The right candidate will play a key role in the design and development of our next generation Ethernet switching platforms for our world class data centers. You will have previous experience testing network products. This includes reviewing designs for testability, developing manufacturing test plans, executing them, troubleshooting issues found during early prototype stages and transition to manufacturing. Compile and analyze production test data using automated data analysis techniques. You should be passionate about the role testing plays in achieving product reliability and quality. Applying skills in developing new test processes, test automation and debug is expected. Key job responsibilities * Develop and implement detailed validation plans tailored to specific hardware designs * Collaborate with design and production teams to understand and test against product requirements * Analyze and interpret data from validation tests, offering insights and recommendations * Design and document validation processes, findings, and insights in a structured and clear manner * Component specification study and component validation * Oversee and plan the use of validation equipment to guarantee consistent results * Work cross-functionally to troubleshoot and address any hardware issues identified during validation * Second source qualification, cost down design validation and manufacturing efficiencies * Support new product introduction and Sustaining engineering * Develop and contribute in testing automation A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers’ requirement on interconnect solutions. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop software tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. We work closely with our internal partners that design, build and operate the network to ensure that our solutions meet their needs and exceed their expectations. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering - 5+ years experience of hardware design and validation of components, subsystems and systems - Experience performing PCB schematic and layout reviews to ensure specification compliance - Knowledge of Power and thermal design and validation - Experience performing hardware validation, including high-speed I/O, low-speed I/O, voltage regulator and evaluating results Preferred Qualifications: - Master's degree in electrical engineering or equivalent - Experience with building datacenter networking products. - Experience with test strategy design for automated functional and system testing - Experience using scripting languages, such as Python - Understanding of electrical engineering design principles, transmission-line theory, SI/PI analysis, PCB PDN design, and high-speed circuit designs - Experience using high speed Logic Analyzers and Oscilloscopes, TDR/VNAs, Power Meters, etc - Experience working with interdisciplinary teams to execute product design from concept to production Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,700/year in our lowest geographic market up to $219,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Hardware Validation Engineer at Amazon Development Center U.S., Inc.. Skills: Hardware validation, Network products, Test automation, Data analysis. Develop and implement detailed validation plans. Collaborate with design and production teams", "postedDate" : "2026-06-13T02:05:10.871", "createdAt" : "2026-06-13T02:05:10.871", "lastUpdated" : "2026-06-15T01:24:39.074", "ingestTimestamp" : "2026-06-13T02:05:10.871", "mongoId" : "693072a270f0b99d58ffb52e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136556/apply", "salaryAnnualMin" : 125700, "salaryAnnualMax" : 219900, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automated functional testing", "System testing", "Scripting languages", "Logic analyzers", "Oscilloscopes", "TDR/VNAs", "Power meters", "Leadership", "Hardware validation", "Network products", "Test automation", "Data analysis", "Test strategy design", "Product requirements", "Process design", "Cost down design", "Sustaining engineering", "New product introduction", "Electrical engineering", "Transmission-line theory", "SI/PI analysis", "PCB PDN design", "High-speed circuit design", "Datacenter networking products", "Ethernet switching platforms", "Electrical engineering design", "High-speed circuit designs", "AWS infrastructure", "Cloud infrastructure", "Logic Analyzers", "Power Meters" ], "skillCount" : 31, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 731.032, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a30562bf292fd229cf25952", "title" : "Implementation Engineer", "company" : "Molecule Software", "industry" : "Customer Success", "salary" : { "min" : 140000.0, "max" : 210000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Implementation Engineer in the FinTech industry in Poland, adjusted for company size and industry." }, "location" : "poland", "locations" : [ "poland" ], "timestamp" : "2026-06-16T10:06:06.021", "fingerprint" : "e806d622e2b9c2f85b62698ca688318f4d7e9c5c0a922a7d41f0617d5c517f30", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/molecule-software/14f2d8ec-450f-40e7-974d-7b7b6a22ec33/application", "externalId" : "14f2d8ec-450f-40e7-974d-7b7b6a22ec33", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL", "professionalSkills" : [ "Data validation", "Data transformation", "Reconciliations", "Unit testing", "Data migration" ], "hardSkillsList" : [ "ETRM platform", "CTRM platform" ], "hardSkills" : [ { "name" : "ETRM platform", "level" : "intermediate" }, { "name" : "CTRM platform", "level" : "intermediate" } ], "majorSkills" : "ETRM implementation, Data validation, SQL", "majorSkillsList" : [ "ETRM implementation", "Data validation", "SQL" ], "coreResponsibilities" : "Configure Molecule environments, Load data, Validate data, Execute testing, Investigate technical issues, Resolve technical issues, Configure complex instrument types, Load reference data, Load historical trades, Load market pricing, Load settlement data, Execute reconciliations, Support BAs through client review, Resolve support tickets, Investigate configuration errors, Investigate data issues, Investigate valuation discrepancies, Investigate settlement anomalies, Perform BigBang data migration, Validate BigBang data migration", "teamCollaboration" : "Work with BAs; Work with Solution Architects; Work with Technical Team Manager", "domainKnowledge" : "Energy trading; Commodities trading; Financial services; Physical trading; Financial trading; Trade lifecycles; Post-trade processes; Energy market concepts; Forward curves; MTM valuation; P&L attribution; Settlement; Instrument types; Power trading; Natural gas trading; Financial instruments; Structured contracts; Tiered pricing; Ratcheted pricing; Reference data; Historical trades; Market pricing; Settlement data; Configuration errors; Data issues; Valuation discrepancies; Settlement anomalies; Data migration", "domainList" : [ "energy-trading", "commodities-trading", "financial-services", "physical-trading", "financial-trading", "trade-lifecycles", "post-trade-processes", "energy-market-concepts", "forward-curves", "mtm-valuation", "p-l-attribution", "settlement", "instrument-types", "power-trading", "natural-gas-trading", "financial-instruments", "structured-contracts", "tiered-pricing", "ratcheted-pricing", "reference-data", "historical-trades", "market-pricing", "settlement-data", "configuration-errors", "data-issues", "valuation-discrepancies", "settlement-anomalies", "data-migration" ], "domainSpecificKnowledge" : [ "Energy trading", "Commodities trading", "Financial services", "Physical trading", "Financial trading", "Trade lifecycles", "Post-trade processes", "Energy market concepts", "Forward curves", "MTM valuation", "P&L attribution", "Settlement", "Instrument types", "Power trading", "Natural gas trading", "Financial instruments", "Structured contracts", "Tiered pricing", "Ratcheted pricing", "Reference data", "Historical trades", "Market pricing", "Settlement data", "Configuration errors", "Data issues", "Valuation discrepancies", "Settlement anomalies", "Data migration" ], "communicationSkills" : "Written English", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "Background in energy, commodities, or financial services, Working understanding of physical and financial trading, Working understanding of trade lifecycles, Working understanding of post-trade processes, Hands-on experience with an ETRM or CTRM platform, SQL querying, SQL validating, SQL transforming trade data, SQL transforming position data, SQL transforming market data, SQL transforming reference data, Familiarity with energy market concepts, Experience working from structured specification documents, Clear instinct to raise blockers early, Written English for documentation, Written English for async communication", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Molecule Software | Poland (Office) Molecule is a modern ETRM platform built for energy trading companies across power, natural gas, renewables, and financial commodities. We're looking for an Implementation Engineer to join our Poland-based technical team and take ownership of the build work at the core of every client implementation. THE ROLE Working from requirements and solution plans produced by Implementation BAs and Solution Architects, you'll configure Molecule environments, load and validate data, and execute the testing that takes a client from signed design to live system. You'll also carry support responsibilities for live clients, investigating and resolving technical issues across configuration, data, and platform behaviour. This is a back-office, internally-facing role — you'll work closely with BAs, Solution Architects, and the Technical Team Manager in a structured, documentation-driven delivery environment. WHAT YOU'LL WORK ON • Configuring Molecule across complex instrument types: power (OTC, PPAs, GoOs, exchange-traded), natural gas (physical and financial), financial instruments (FTRs, RECs, RGGIs, options, swaps), and structured contracts with tiered or ratcheted pricing • Loading and validating reference data, historical trades, market pricing, and settlement data • Executing reconciliations and unit testing before UAT; supporting BAs through client review • Investigating and resolving support tickets covering configuration errors, data issues, valuation discrepancies, and settlement anomalies • BigBang data migration and validation WHAT WE'RE LOOKING FOR • Background in energy, commodities, or financial services — a working understanding of physical and financial trading, trade lifecycles, and post-trade processes is required • Hands-on experience with an ETRM or CTRM platform is essential • Strong SQL: querying, validating, and transforming trade, position, market data, and reference data • Familiarity with energy market concepts: forward curves, MTM valuation, P&L attribution, settlement • Experience working from structured specification documents with a clear instinct to raise blockers early • Strong written English for documentation and async communication", "summaryDescription" : "Implementation Engineer at Molecule Software. Skills: ETRM implementation, Data validation, SQL. Configure Molecule environments. Load data", "createdAt" : "2026-06-16T00:31:54.995", "lastUpdated" : "2026-06-16T10:06:06.021", "ingestTimestamp" : "2026-06-16T00:31:54.995", "mongoId" : "6a30562bf292fd229cf25952", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "ETRM platform", "CTRM platform", "ETRM implementation", "Data validation", "SQL", "Data transformation", "Reconciliations", "Unit testing", "Data migration", "Energy trading", "Commodities trading", "Financial services", "Physical trading", "Financial trading", "Trade lifecycles", "Post-trade processes", "Energy market concepts", "Forward curves", "MTM valuation", "P&L attribution", "Settlement", "Instrument types", "Power trading", "Natural gas trading", "Financial instruments", "Structured contracts", "Tiered pricing", "Ratcheted pricing", "Reference data", "Historical trades", "Market pricing", "Settlement data", "Configuration errors", "Data issues", "Valuation discrepancies", "Settlement anomalies" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 695.5487, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a677f74d8ee00a063044e", "title" : "Senior Firmware Validation Engineer", "company" : "Graphcore", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Firmware Validation Engineer in Austin, United States, adjusted for seniority and industry." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-14T23:13:30.684", "fingerprint" : "02b95ac5d5ec3d970521e96278da3bce8145ec3c79c711a4cffdf2c13ebc6e11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/graphcore/jobs/8570789002", "externalId" : "8570789002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "ARM, UEFI, EDK II, OpenBMC, CI/CD, PCIe, JTAG, GDB, Redfish, PLDM, MCTP, IPMI", "professionalSkills" : [ "Platform bring-up", "Lifecycle management", "Regression testing", "Manufacturing ramp" ], "hardSkillsList" : [ "Firmware validation", "Automated test frameworks", "System-level debugging", "Root cause analysis" ], "hardSkills" : [ { "name" : "Firmware validation", "level" : "intermediate" }, { "name" : "Automated test frameworks", "level" : "intermediate" }, { "name" : "System-level debugging", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" } ], "majorSkills" : "Firmware validation, ARM server firmware, OpenBMC, Automation frameworks", "majorSkillsList" : [ "Firmware validation", "ARM server firmware", "OpenBMC", "Automation frameworks" ], "coreResponsibilities" : "Define validation strategy, Execute validation strategy, Develop validation plans, Develop automated test frameworks, Integrate automated test cases, Validate firmware update frameworks, Validate platform security features, Participate in system-level debugging, Perform root cause analysis, Develop automation frameworks, Develop regression testing pipelines, Collaborate with silicon vendors, Collaborate with ODM partners, Collaborate with platform engineering", "teamCollaboration" : "Firmware engineering; Silicon teams; Hardware engineering; ODM partners; Platform engineering teams", "domainKnowledge" : "Server architecture; Data center systems; Rack infrastructure; Root of Trust; Secure boot; TPM integration; Firmware lifecycle management; Firmware update frameworks; Hyperscale AI server deployments; Power delivery; Thermals; Networking; Liquid-cooled platforms; High-density server platforms; Hardware-in-the-loop; Rack-level automated validation; High-speed interconnects; Platform management protocols", "domainList" : [ "server-architecture", "data-center-systems", "rack-infrastructure", "root-of-trust", "secure-boot", "tpm-integration", "firmware-lifecycle-management", "firmware-update-frameworks", "hyperscale-ai-server-deployments", "power-delivery", "thermals", "networking", "liquid-cooled-platforms", "high-density-server-platforms", "hardware-in-the-loop", "rack-level-automated-validation", "high-speed-interconnects", "platform-management-protocols" ], "domainSpecificKnowledge" : [ "Server architecture", "Data center systems", "Rack infrastructure", "Root of Trust", "Secure boot", "TPM integration", "Firmware lifecycle management", "Firmware update frameworks", "Hyperscale AI server deployments", "Power delivery", "Thermals", "Networking", "Liquid-cooled platforms", "High-density server platforms", "Hardware-in-the-loop", "Rack-level automated validation", "High-speed interconnects", "Platform management protocols" ], "toolProficiency" : [ "JTAG", "GDB" ], "problemSolvingSkills" : "System-level debugging; Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, 6+ years firmware validation experience, Experience validating ARM server firmware, Experience validating firmware security features, Familiarity with firmware lifecycle management, Experience building automation frameworks, Experience with CI/CD pipelines", "qualificationsPreferred" : "Experience validating rack-scale firmware, Hands-on EDK II/UEFI validation, Hands-on OpenBMC system testing, Experience validating liquid-cooled platforms, Experience validating high-density server platforms, Experience building HIL environments, Experience validating rack-level automated environments, Experience validating PCIe interconnects, Familiarity with hardware debug tools, Experience validating Redfish, Experience validating PLDM, Experience validating MCTP, Experience validating IPMI", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Firmware Validation Engineer to support validation and quality assurance for the rack-level firmware stack across Graphcore’s ARM-based server platforms. This role focuses on validating firmware components including SoC firmware (EDK II/UEFI), OpenBMC firmware, rack management services, and platform-level infrastructure used in hyperscale AI server deployments. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Platform Validation team ensures the reliability and quality of Graphcore’s firmware and system software stack across server nodes and rack-scale AI infrastructure. The team collaborates closely with firmware engineering, silicon teams, hardware engineering, and ODM partners to validate complex platform management stacks and ensure production readiness. Responsibilities and Duties Define and execute validation strategy for rack-level firmware stacks across ARM server platforms. Develop validation plans and automated test frameworks for platform bring-up and firmware lifecycle management. Integrate automated test cases for rack-level firmware components into CI/CD pipelines. Validate firmware update frameworks including signed updates, redundancy mechanisms, and rollback protection. Drive validation of platform security features including Root of Trust, secure boot, and TPM integration. Participate in system-level debugging and root cause analysis across firmware, hardware, and platform integration. Develop automation frameworks and regression testing pipelines supporting firmware validation. Collaborate with silicon vendors, ODM partners, and platform engineering teams during bring-up and manufacturing ramp. Candidate Profile Essential Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience. 6+ years of experience in firmware or platform validation for server or data center systems. Experience validating ARM server firmware stacks including UEFI/EDK II and OpenBMC platforms. Strong understanding of server architecture including power delivery, thermals, networking, and rack infrastructure. Experience validating firmware security features including Root of Trust and secure boot. Strong familiarity with firmware lifecycle management and firmware update frameworks. Experience building automation frameworks and CI/CD pipelines for firmware validation. Desirable Experience validating rack-scale firmware platforms in hyperscale or AI cloud environments. Hands-on experience with EDK II/UEFI validation and OpenBMC system testing. Experience validating firmware for liquid-cooled or high-density server platforms. Experience building hardware-in-the-loop (HIL) or rack-level automated validation environments. Experience validating high-speed interconnects such as PCIe in large-scale deployments. Familiarity with hardware debug tools including JTAG, GDB, and logic analyzers. Experience validating platform management protocols such as Redfish, PLDM, MCTP, and IPMI. USA Benefits In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.", "summaryDescription" : "Senior Firmware Validation Engineer at Graphcore. Skills: Firmware validation, ARM server firmware, OpenBMC, Automation frameworks. Define validation strategy. Execute validation strategy", "postedDate" : "2026-06-11T21:07:12.650", "createdAt" : "2026-06-11T21:07:12.650", "lastUpdated" : "2026-06-14T23:13:30.684", "ingestTimestamp" : "2026-06-11T21:07:12.650", "mongoId" : "6a2a677f74d8ee00a063044e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Firmware validation", "Automated test frameworks", "System-level debugging", "Root cause analysis", "ARM server firmware", "OpenBMC", "Automation frameworks", "Platform bring-up", "Lifecycle management", "Regression testing", "Manufacturing ramp", "Server architecture", "Data center systems", "Rack infrastructure", "Root of Trust", "Secure boot", "TPM integration", "Firmware lifecycle management", "Firmware update frameworks", "Hyperscale AI server deployments", "Power delivery", "Thermals", "Networking", "Liquid-cooled platforms", "High-density server platforms", "Hardware-in-the-loop", "Rack-level automated validation", "High-speed interconnects", "Platform management protocols", "JTAG", "GDB" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "hw-platform", "dataQualityScore" : 0.8888889, "_score" : 693.78577, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3070f1f292fd229cff723a", "title" : "Monitoring, Evaluation and Learning (MEL) Intern", "company" : "SNV", "industry" : "Non-Profit Organization Management", "salary" : { "min" : 3600000.0, "max" : 6000000.0, "currency" : "TZS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level MEL Intern in Sumbawanga, Tanzania, adjusted for the non-profit industry and internship role." }, "location" : "Sumbawanga, Rukwa Region, TZ", "locations" : [ "Sumbawanga", "Rukwa Region", "TZ" ], "timestamp" : "2026-06-16T09:31:22.390", "fingerprint" : "cc4b5e85ace2adbcdf9b6211cad06539ce9a1464adeb2f43ce2f7bf28a70c6e2", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SNV/744000132146344-monitoring-evaluation-and-learning-mel-intern", "externalId" : "744000132146344", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sumbawanga", "state" : "Rukwa Region", "country" : "Tanzania", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "-7.9523861,31.6231898" } ], "locationText" : "Sumbawanga, Rukwa Region, Tanzania", "employmentType" : "INTERNSHIP", "experienceLevel" : "internship", "technicalSkills" : "KoboToolbox, ODK, Xlsforms, Microsoft Excel, Power BI, GIS, R, SPSS, Stata", "professionalSkills" : [ "Data management", "Data analysis", "Reporting", "Documentation", "Filing" ], "hardSkillsList" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis" ], "softSkillsList" : [ "Confidentiality" ], "hardSkills" : [ { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Indicator tracking", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Confidentiality" } ], "majorSkills" : "Data collection, Data analysis, Reporting, Data management", "majorSkillsList" : [ "Data collection", "Data analysis", "Reporting", "Data management" ], "coreResponsibilities" : "Support development, deployment and management of digital data, Coordinate with field officers, enumerators, CSOs, and extension, Assist in reviewing submitted datasets for completeness, consistency,, Centralize datasets into reusable data products, Maintain organized digital and physical MEL records, Support routine data cleaning, validation and data quality, Participate in field monitoring visits and spot checks, Support verification of reported activities and indicator achievements, Compile routine indicator tracking data, Support tracking project targets against achievements, Support preparation of activity reports, quarterly district reports,, Assist in documenting outcome harvesting evidence, success stories,, Generate basic summaries, tables, charts, and trend analyses, Support reporting/data gap analyses, Support organization of learning events, review meetings, and, Follow up with partners on data submissions and, Support logistics for surveys, assessments, and monitoring activities", "teamCollaboration" : "Working with field teams; Working with Value Chain Coordinators; Working with implementing partners; Engaging project partners; Engaging field stakeholders", "domainKnowledge" : "Agriculture; Nutrition; Food security; Climate resilience; Development projects; Market systems development", "domainList" : [ "agriculture", "nutrition", "food-security", "climate-resilience", "development-projects", "market-systems-development" ], "domainSpecificKnowledge" : [ "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development" ], "toolProficiency" : [ "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "documentationSkills" : "Documentation; Filing; Outcome harvesting; Success stories; Lessons learned", "specialRequirements" : "Willingness to travel frequently, Ability to work under tight timelines", "outcomesObjectives" : "Ensure high-quality data is always available; Strengthen timely availability of quality data for project management; Support evidence based decision making; Support donor reporting", "qualificationsBasic" : "Bachelor’s Degree or Diploma, Up to 2 years of relevant experience, Experience using KoboToolbox, ODK, or similar, Proficiency with developing digital data collection tools using xlsforms, Proficiency in Microsoft Excel, Basic data analysis and reporting skills, Good documentation and filing skills", "qualificationsPreferred" : "Experience with agriculture, nutrition, or development projects, Experience with dashboard development and data visualization, Knowledge of agricultural, nutrition, or market systems development projects, Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software, Possession of a valid motorcycle license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SNV Netherlands Development Organisation http://www.snv.org/ is a Dutch-based international development organisation that provides market-based solutions for the poor through local institutions and organisations in 24 developing countries in Asia, Africa and Latin America. Working in Agriculture, Energy, and Water, Sanitation & Hygiene, we have built a long-term, local presence in Asia, Africa and Latin America. Our global team of local and international advisors works with local partners to equip communities, businesses and organisations with the tools, knowledge and connections they need to increase their incomes and gain access to basic services – empowering them to break the cycle of poverty and guide their own development. With over 50 years of working to support Tanzanian communities, we have a long track record of achieving scale and sustainability that makes a lasting difference in the lives of people in poverty. SNV in Tanzania’s diverse portfolio covers climate-smart agriculture, landscape conservation, renewable energy, and water, sanitation and hygiene. Empowering Smallholder Farmers for Food Security and Climate Resilience (NOURISH Tanzania) is a five-year project that aims to achieve resilient food security and improve nutrition for SHF households in key regions of Tanzania. The project focuses on two areas, both of which experience food insecurity and malnutrition, but which are distinctly different: the central-northern zone (Singida, Dodoma, Manyara) which suffer from acute food insecurity and Southern Highlands (Songwe, Rukwa) which faces chronic malnutrition. The project has reached its mid-term stage and has established a strong foundation for implementation by improving smallholder farmer households’ knowledge of climate-smart agriculture and nutrition practices, while also strengthening engagement with critical stakeholders. Moving forward, the project aims to deepen adoption by consolidating access to essential services, strengthening linkages, and addressing key systemic barriers that have been identified. Through this placement, the project seeks to strengthen its monitoring, evaluation and learning function through management collection data collection and analysis and learning while ensuring high-quality data is always available for project management and learning purposes. The MEL Intern will support implementation of project MEL activities including data collection, verification, cleaning, compilation, reporting, and coordination working closely with field teams, Value Chain Coordinators and implementing partners. The role is intended to strengthen timely availability of quality data for project management, learning, evidence based decision making and donor reporting. * Support development, deployment and management of digital data collection tools (e.g. Kobo Toolbox/ODK). * Coordinate with field officers, enumerators, CSOs, and extension staff during data collection exercises. * Assist in reviewing submitted datasets for completeness, consistency, and accuracy * Centralize datasets into reusable data products (database, Excel files) and maintain organized digital and physical MEL records. * Support routine data cleaning, validation and data quality assurance processes. * Participate in field monitoring visits and spot checks. * Support verification of reported activities and indicator achievements. * Compile routine indicator tracking data and support tracking project targets against achievements. * Support preparation of activity reports, quarterly district reports, and annual reports. * Assist in documenting outcome harvesting evidence, success stories, lessons learned, field observations and other MEL resources. * Generate basic summaries, tables, charts, and trend analyses as well as reporting/data gap analyses using Excel or related tools. * Support organization of learning events, review meetings, and reflection sessions. * Follow up with partners on data submissions and reporting timelines. * Support logistics for surveys, assessments, and monitoring activities. ## Qualifications * Bachelor’s Degree or Diploma in Monitoring & Evaluation, Statistics, Agricultural Economics, ICT, Data Science, Data Management, Computer Science or related field. * Up to 2 years of relevant experience in MEL, research, project data management, or related fields, including internships, volunteer assignments, research projects, or development program experience. * Experience using KoboToolbox, ODK, or similar digital data collection systems * Proficiency with developing digital data collection tools using xlsforms (ODK/Kobo Toolbox). * Experience working with agriculture, nutrition, or development projects * Proficiency in Microsoft Excel, including the use of formulas, Pivot Tables, and data validation tools. * Basic data analysis and reporting skills. * Good documentation and filing skills. * Experience with dashboard development and data visualization. * Knowledge of agricultural, nutrition, or market systems development projects. * Familiarity with Power BI, GIS tools, R, SPSS, Stata or other statistical software * Possession of a valid motorcycle license is an added advantage. Attributes: * High attention to detail. * Strong organizational skills. * Integrity and confidentiality in handling data. * Ability to work independently and within teams. * Willingness to travel frequently to field locations, * Ability to work under tight timelines. * Strong interpersonal and communication skills for engaging project partners and field stakeholders ## Additional Information ADDITIONAL INFORMATION Location: Sumbawanga (with frequent field travel) Duration: 1 year (possibility of renewal) Remuneration: Based strictly on SNV Tanzania internship rates. WORKING AT SNV SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit from, and contribute to, an internal global network of Agri Food team. HOW TO APPLY The vacancy is for internal and external candidates and it will active up to 20th June 2026. All applications should be through Smart Recruiters on the following link .", "summaryDescription" : "Monitoring, Evaluation and Learning (MEL) Intern at SNV. Skills: Data collection, Data analysis, Reporting, Data management. Support development, deployment and management of digital data. Coordinate with field officers, enumerators, CSOs, and extension", "postedDate" : "2026-06-15T08:59:59.000", "createdAt" : "2026-06-16T01:31:18.695", "lastUpdated" : "2026-06-16T09:31:22.390", "ingestTimestamp" : "2026-06-16T01:31:18.695", "mongoId" : "6a3070f1f292fd229cff723a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data collection", "Data cleaning", "Data validation", "Data quality assurance", "Indicator tracking", "Trend analysis", "Confidentiality", "Data analysis", "Reporting", "Data management", "Documentation", "Filing", "Agriculture", "Nutrition", "Food security", "Climate resilience", "Development projects", "Market systems development", "KoboToolbox", "ODK", "Xlsforms", "Microsoft Excel", "Power BI", "R", "SPSS", "Stata" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 691.79443, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c6774d8ee00a091896f", "title" : "Data Implementation Specialist", "company" : "Joblogic", "industry" : "SaaS", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "PKR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Implementation Specialist in Lahore, Pakistan, adjusted for the SaaS industry." }, "location" : "Lahore, Punjab, Pakistan", "locations" : [ "Lahore", "Punjab", "Pakistan" ], "timestamp" : "2026-06-15T05:38:32.345", "fingerprint" : "2a27e053315a01e2a26e34b05047c61efc2e62aa785780492902d3ce40753640", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/joblogic/jobs/4870682101", "externalId" : "4870682101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lahore", "state" : "Punjab", "country" : "Pakistan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.5656822,74.3141829" } ], "locationText" : "Lahore, Punjab, Pakistan", "technicalSkills" : "SQL, Python, Azure DB", "professionalSkills" : [ "Data migration", "Data mapping", "Data manipulation", "Customer onboarding", "Client communication", "Technical requirements analysis", "Issue resolution coordination" ], "hardSkillsList" : [ "Data validation", "Data import", "Report writing", "Data analysis" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data import", "level" : "intermediate" }, { "name" : "Report writing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Data implementation, Data migration, SQL querying", "majorSkillsList" : [ "Data implementation", "Data migration", "SQL querying" ], "coreResponsibilities" : "Onboard customers by providing data solutions, Migrate customer data, Map customer data, Manipulate data for existing customers, Write SQL queries to extract data, Conduct zoom meetings with clients, Accumulate data import prerequisites, Gather customer data into excel templates, Validate customer data into excel templates, Rectify customer data into excel templates, Import data for customers using import utilities, Perform tedious and repetitive tasks in Excel, Manipulate data in excel based on requirement, Sort raw data into import templates, Validate data prior upload, Validate data posterior upload, Maintain record on Jira platform, Write custom reports using SQL, Test custom reports using SQL, Be part of Agile Development Cycle, Manage deadlines, Ensure SLAs are met, Communicate with customer to analyze requirements, Evaluate custom technical requirements, Manage customer escalations, Respond to end-user problems, Provide bespoke solutions, Present complex technical information, Coordinate issue resolution efforts, Handle internal team reporting", "teamCollaboration" : "Work closely with developers; Work with other departments", "projectManagementSkills" : [ "Agile Development Cycle", "SLA management" ], "domainKnowledge" : "Field Service Management; Service management industry", "domainList" : [ "field-service-management", "service-management-industry" ], "domainSpecificKnowledge" : [ "Field Service Management", "Service management industry" ], "toolProficiency" : [ "MS Excel", "Jira", "Power BI" ], "communicationSkills" : "Presentation skills; Documentation skills; Verbal communication; Written communication", "documentationSkills" : "Documentation; Customer Specifications Documents", "continuousLearning" : "Learn new methods; Develop skills", "problemSolvingSkills" : "Problem-solving aptitude; Thinking outside the box; Troubleshooting", "specialRequirements" : "Travel to Lahore office daily, Work onsite with UK team", "qualificationsBasic" : "2 years of experience, Advance level MS Excel, Excellent English communication skills, Experience documenting root cause analysis, Produce accurate Customer Specifications Documents, Multitask in fast-paced environment, Aptitude to learn new methods, Follow current procedures, Experience using Ticket Tracking tools, Client communication via emails, Client communication via video calls, Excellent communication skills, Excellent interpersonal skills, Eagerness to learn and develop, Team player, Work effectively with other departments, Basic SQL Scripting Knowledge", "qualificationsPreferred" : "Familiarity with Python, Power BI experience, Azure DevOps experience, Jira hands-on experience, Basic understanding SQL, Experience with modern relational databases", "workSiteFlexibility" : "Flexible", "rawDescription" : "The Joblogic Story Established in 1998, Joblogic is the UK’s #1 Field Service Management (FSM) software platform. We are a global business with offices in the UK, Pakistan, and Vietnam. Since our management buy-out in 2013, we have grown from ~£500K ARR to ~£35M+ ARR and expanded our team from 11 to 500+ people. Recently, we secured a strategic growth investment from Vista Equity Partners — a global technology investor specialising in enterprise software. This investment includes over £100 million in new primary capital and will fuel our next phase of growth by accelerating our AI-first roadmap, expanding our platform into CAFM (Computer-Aided Facilities Management) capabilities, and supporting our expansion across Europe and beyond. With Vista’s backing, we’re transforming from a successful UK business into a global scaling SaaS rocket ship, and we’d love for you to join us on our journey to £100M ARR across international markets. Joblogic provides software to service contractors who install and maintain the built environment. Our platform helps businesses streamline operations, improve profitability, ensure compliance, and achieve rapid growth. With over 100,000 users across industries including HVAC, plumbing, electrical maintenance, facilities management, and building fabric maintenance, we are entering a new era of intelligent automation, predictive maintenance, and data-driven decision-making for service firms. A\uD835\uDDEF\uD835\uDDFC\uD835\uDE02\uD835\uDE01 \uD835\uDE01\uD835\uDDF5\uD835\uDDF2 \uD835\uDDFF\uD835\uDDFC\uD835\uDDF9\uD835\uDDF2: We are looking for a Data Implementation Specialist who will be responsible to onboard our customers by providing data solutions, migrating, and mapping the data while also manipulating data for our existing customers. You will also work closely with developers to write SQL queries to extract data from the Azure DB. As a Data Implementation Specialist, you must be knowledgeable, customer-oriented and conduct zoom meetings with our clients to accumulate their data Import/manipulation prerequisites, we expect you to amaze us with your presentation and documentation skills. We’re further looking for superior technical expertise and a problem-solving aptitude. \uD835\uDDEA\uD835\uDDF5\uD835\uDDEE\uD835\uDE01 \uD835\uDDEC\uD835\uDDFC\uD835\uDE02\uD835\uDDFF \uD835\uDDE0\uD835\uDDEE\uD835\uDDF6\uD835\uDDFB \uD835\uDDD9\uD835\uDDFC\uD835\uDDF0\uD835\uDE02\uD835\uDE00 \uD835\uDDEA\uD835\uDDF6\uD835\uDDF9\uD835\uDDF9 \uD835\uDDD5\uD835\uDDF2: \uD835\uDDE5\uD835\uDDF2\uD835\uDE00\uD835\uDDFD\uD835\uDDFC\uD835\uDDFB\uD835\uDE00\uD835\uDDF6\uD835\uDDEF\uD835\uDDF6\uD835\uDDF9\uD835\uDDF6\uD835\uDE01\uD835\uDDF6\uD835\uDDF2\uD835\uDE00: Working closely with our customers during the onboarding process to ensure the data migration is smooth and best solutions are provided based on their system usage. Gather, Validate, and rectify customer data into excel formatted templates and import data for the customer using import utilities. MS Excel expertise to perform certain tasks that are tedious and repetitive. Manipulate data in excel based on the requirement and sort raw data into our format of Import templates. Validating data prior/posterior upload and maintaining a record on Jira platform. Experience of writing and testing custom reports using SQL to extract data from the Azure DB. Basic SQL Scripting Knowledge Required. Be part of the Agile Development Cycle with strong communication and Documentation Skills. Be able to manage deadlines and ensuring SLA’s are met. Communicate with the customer through different channels to analyse and evaluate their custom technical requirements. Manage customer escalations in accordance with agreed SLAs and support agreements. Responds to end-user problems whilst thinking outside the box to provide bespoke solutions to individual customer needs. Ability to present complex technical information to non-technical audiences. Coordinate issue resolution efforts with other departments to ensure timely and efficient resolutions are met and customer satisfaction is upheld. Handle internal team reporting on Excel, power BI etc. \uD835\uDDD8\uD835\uDE00\uD835\uDE00\uD835\uDDF2\uD835\uDDFB\uD835\uDE01\uD835\uDDF6\uD835\uDDEE\uD835\uDDF9 \uD835\uDDE5\uD835\uDDF2\uD835\uDDFE\uD835\uDE02\uD835\uDDF6\uD835\uDDFF\uD835\uDDF2\uD835\uDDFA\uD835\uDDF2\uD835\uDDFB\uD835\uDE01\uD835\uDE00, \uD835\uDDD8\uD835\uDE05\uD835\uDDFD\uD835\uDDF2\uD835\uDDFF\uD835\uDDF6\uD835\uDDF2\uD835\uDDFB\uD835\uDDF0\uD835\uDDF2 \uD835\uDDEE\uD835\uDDFB\uD835\uDDF1 \uD835\uDDE6\uD835\uDDF8\uD835\uDDF6\uD835\uDDF9\uD835\uDDF9\uD835\uDE00: MS Excel – Advance level. Prior experience of reporting and data visualisation using Excel or similar tools. Minimum of 2-years (recent) of proven related experience within an organisation that provides software solutions (preferably within the service management industry). Must have excellent English communication skills and experience with documenting root cause analysis. Ability to produce accurate and Customer Specifications Documents for Development. Ability to multitask in a fast-paced environment. Aptitude to learn new methods and follow current procedures. Prior experience in using Ticket Tracking/ logging tools. Prior experience of client communication via emails or video calls i.e., Zoom, Teams etc. Excellent communication (Verbal and Written) Skills. Excellent interpersonal skills. Eagerness to learn and develop skills to improve work performance. A team player, with the ability to communicate and work effectively with other departments. \uD835\uDDE1\uD835\uDDF6\uD835\uDDF0\uD835\uDDF2-\uD835\uDE01\uD835\uDDFC-\uD835\uDDDB\uD835\uDDEE\uD835\uDE03\uD835\uDDF2: Familiarity with Python for automation, scripting, or data analysis. Power BI experience. Azure DevOps Hands-on experience of Jira. Basic understanding SQL and experience with some of the modern relational databases. What we Offer: Professional Working environment Market Competitive Salary Life Insurance & Medical Insurance (Including Family) OPD Provident Fund Gym Facility Maximum 45 Weekly Hours (Monday-Friday) Remote Working (During Pandemic Situation) Company trip 29 Annual Leaves. 8 Sick & uncapped Compassionate Leaves (As per Company Policy) Have a chance to work onsite with the UK team. The interview will be held in multiple stages where the successful candidate must demonstrate they meet the essential requirement criteria and have the relevant experience. You must be able to travel to our Lahore office daily.", "summaryDescription" : "Data Implementation Specialist at Joblogic. Skills: Data implementation, Data migration, SQL querying. Onboard customers by providing data solutions. Migrate customer data", "postedDate" : "2026-06-13T20:19:50.730", "createdAt" : "2026-06-13T20:19:50.730", "lastUpdated" : "2026-06-15T05:38:32.345", "ingestTimestamp" : "2026-06-13T20:19:50.730", "mongoId" : "6a2c6c6774d8ee00a091896f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data validation", "Data import", "Report writing", "Data analysis", "Data implementation", "Data migration", "SQL querying", "Data mapping", "Data manipulation", "Customer onboarding", "Client communication", "Technical requirements analysis", "Issue resolution coordination", "Agile Development Cycle", "SLA management", "Field Service Management", "Service management industry", "MS Excel", "Jira", "Power BI" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "_score" : 690.86444, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7e2974d8ee00a0951bb2", "title" : "Condition Monitoring Engineer", "company" : "AssetWatch, Inc.", "industry" : "Manufacturing", "salary" : { "min" : 72000.0, "max" : 108000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for senior level and remote work in the manufacturing industry." }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada", "United States" ], "certifications" : [ "ISO Category II vibration certification" ], "timestamp" : "2026-06-16T04:32:47.399", "fingerprint" : "21ee813db7436a944512ecac7cf8d1dad8c53d260e13abddb9d8e9bf50743526", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/assetwatch/jobs/4698049005", "externalId" : "4698049005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Vibration analysis, Data analysis, Software modeling, Programming, Ultrasonic analysis, Oil analysis, Fluid analysis", "professionalSkills" : [ "Engineering evaluations" ], "hardSkillsList" : [ "Vibration data collection", "Data processing", "Machinery health evaluation", "Alarm level setting" ], "hardSkills" : [ { "name" : "Vibration data collection", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Machinery health evaluation", "level" : "intermediate" }, { "name" : "Alarm level setting", "level" : "intermediate" } ], "majorSkills" : "Condition monitoring, Vibration analysis, Predictive maintenance", "majorSkillsList" : [ "Condition monitoring", "Vibration analysis", "Predictive maintenance" ], "coreResponsibilities" : "Collect vibration and temperature data, Analyze vibration and temperature data, Customize data processing, Determine if maintenance is needed, Perform vibration data collection, Perform data analysis, Perform software modeling, Perform programming, Perform engineering evaluations, Evaluate machinery health and condition, Analyze vibration data, Develop software modeling, Develop programs, Maintain vibration data analysis library, Expand vibration data analysis library, Improve ability to process data, Provide actionable information to clients, Set appropriate alarm levels, Alert customers of pending failures, Accompany hardware installation team, Recommend placement of machine condition sensing units, Lead predictive maintenance tool develop program, Grow predictive maintenance tool develop program, Expand machine condition monitoring expertise, Include ultrasonic analysis, Include oil/fluid analysis, Create high-valued hardware solutions, Create high-valued software solutions, Create expanded product offerings", "teamCollaboration" : "Product development teams; Installation teams; Customer support teams; Customers' reliability engineers; Work collaboratively with others", "domainKnowledge" : "Machine condition monitoring; Industrial equipment; Predictive maintenance", "domainList" : [ "machine-condition-monitoring", "industrial-equipment", "predictive-maintenance" ], "domainSpecificKnowledge" : [ "Machine condition monitoring", "Industrial equipment", "Predictive maintenance" ], "toolProficiency" : [ "FFT analyzers", "Predictive maintenance software", "Microsoft Office Suite" ], "communicationSkills" : "Interpersonal skills", "problemSolvingSkills" : "Resolve obstacles", "specialRequirements" : "Work on elevated equipment", "outcomesObjectives" : "Generate high quality data; Generate actionable data; Generate high quality information; Generate actionable information", "qualificationsBasic" : "Five years of relevant experience, Vibration data collection and analysis, FFT analyzers, Predictive/preventative maintenance software, Technical competence, Electro-mechanical fundamentals, AC induction and DC motors, Industrial equipment mechanical background, Centrifugal and reciprocating compressors, Turbines, blowers, pumps, gearboxes, Hydraulics, pneumatics, Operation of one or more analyzers, Measuring vibration spectra and time waveforms, Developing optimum corrective actions, Acquired field vibration analysis data, Observations and discussions with key plant personnel, Work on and around elevated fixed and rotating equipment, Microsoft Office Suite proficiency, Standard PC applications proficiency", "qualificationsPreferred" : "ISO Category II vibration certification, Continued certification expected", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey. The primary function of the Condition Monitoring Engineer is supporting the company’s unique value proposition by generating high quality and actionable data and information for its industrial customers. This role works closely with product development, installation and customer support teams, as well as customers’ reliability engineers. In this role, you will: Collect and analyze vibration and temperature data at client sites, customizing data processing to the client’s asset and determining if maintenance is needed Perform vibration data collection, data analysis, software modeling and programming, and engineering evaluations Evaluate machinery health and condition, through detailed analysis of vibration data Develop software modeling and programs to maintain and expand vibration data analysis library to improve ability to process data Provide high-quality, actionable information to clients (e. g. setting appropriate alarm levels within the analytical tools to alert customers of pending failures). Accompany hardware installation team and recommend placement of machine condition sensing units. Lead and grow AssetWatch predictive maintenance (PdM) tool develop program Expand AssetWatch expertise in machine condition monitoring, beyond vibration analysis, to include ultrasonic analysis, oil/fluid analysis Work closely with the product development team to create high-valued hardware and software solutions and expanded product offerings Qualifications: Minimum of five years of relevant experience with vibration data collection and analysis, ideally using FFT analyzers and predictive/preventative maintenance software. (Must demonstrate technical competence.) Valid ISO Category II, or higher, vibration certification preferred. Continued certification expected. Strong understanding of electro-mechanical fundamentals, including AC induction and DC motors Strong mechanical background with industrial equipment - centrifugal and reciprocating compressors, turbines, blowers, pumps, gearboxes, hydraulics, pneumatics, etc. Proficient with the operation of one or more analyzers measuring vibration spectra and time waveforms. Proficient with developing optimum corrective actions based on findings of acquired field vibration analysis data, observations and discussions with key plant personnel. Must be able to work on and around elevated fixed and rotating equipment Proficiency with Microsoft Office Suite and standard PC applications. Good communication and interpersonal skills Desire to work in a “startup” environment and have a “startup” mentality – work collaboratively with others across all levels of the organization; resolve obstacles that may prevent the organization from achieving its mission; wear many hats as needed Be customer focused - demonstrate the desire and knowledge to understand customer needs; provide personalized, professional service, accurate information and continuous communication Demonstrate integrity - behave ethically, act fairly, and take responsibility for accomplishing work #LI-REMOTE What We Offer: AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance. Competitive compensation package including stock options Flexible work schedule Comprehensive benefits including retirement plan match Opportunity to make a real impact every day Work with a dynamic and growing team Unlimited PTO We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.", "summaryDescription" : "Condition Monitoring Engineer at AssetWatch, Inc.. Skills: Condition monitoring, Vibration analysis, Predictive maintenance. Collect vibration and temperature data. Analyze vibration and temperature data", "postedDate" : "2026-06-14T20:03:59.287", "createdAt" : "2026-06-14T20:03:59.287", "lastUpdated" : "2026-06-16T04:32:47.399", "ingestTimestamp" : "2026-06-14T20:03:59.287", "mongoId" : "6a2c7e2974d8ee00a0951bb2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Vibration data collection", "Data processing", "Machinery health evaluation", "Alarm level setting", "Condition monitoring", "Vibration analysis", "Predictive maintenance", "Engineering evaluations", "Machine condition monitoring", "Industrial equipment", "ISO Category II vibration certification", "FFT analyzers", "Predictive maintenance software", "Microsoft Office Suite" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 687.4272, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c951474d8ee00a098c3a6", "title" : "Staff -Power and Performance Validation Engineer", "company" : "Graphcore", "industry" : "Technology", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Power and Performance Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, India", "locations" : [ "Bengaluru", "India" ], "timestamp" : "2026-06-15T13:01:56.883", "fingerprint" : "21e34fc53a2b094312239f72735034c9de17f017ff070f308cff5c41fa97bb99", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/graphcore/jobs/8587313002", "externalId" : "8587313002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "technicalSkills" : "Python, C/C++", "professionalSkills" : [ "Validation strategy", "Performance analysis", "Automation frameworks", "Data analysis", "System design" ], "hardSkillsList" : [ "Power validation", "Performance validation", "Thermal validation", "Silicon characterization", "System performance", "SoC architecture", "CPU architecture", "Memory architecture", "Interconnect architecture", "High-speed I/O", "Linux systems", "Low-level performance", "Python programming", "Automation", "Orchestration", "Data analysis", "Benchmarking", "Profiling", "Hardware debugging", "Software debugging", "Workload modeling", "Test strategy", "Data interpretation", "Bottleneck identification", "AI accelerators", "GPU architecture", "High-performance compute", "Pre-silicon modeling", "Pre-silicon simulation", "Power management", "Hardware instrumentation", "Telemetry systems", "High core-count systems", "Large-scale compute" ], "hardSkills" : [ { "name" : "Power validation", "level" : "intermediate" }, { "name" : "Performance validation", "level" : "intermediate" }, { "name" : "Thermal validation", "level" : "intermediate" }, { "name" : "Silicon characterization", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "SoC architecture", "level" : "intermediate" }, { "name" : "CPU architecture", "level" : "intermediate" }, { "name" : "Memory architecture", "level" : "intermediate" }, { "name" : "Interconnect architecture", "level" : "intermediate" }, { "name" : "High-speed I/O", "level" : "intermediate" }, { "name" : "Linux systems", "level" : "intermediate" }, { "name" : "Low-level performance", "level" : "intermediate" }, { "name" : "Python programming", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Benchmarking", "level" : "intermediate" }, { "name" : "Profiling", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Workload modeling", "level" : "intermediate" }, { "name" : "Test strategy", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Bottleneck identification", "level" : "intermediate" }, { "name" : "AI accelerators", "level" : "intermediate" }, { "name" : "GPU architecture", "level" : "intermediate" }, { "name" : "High-performance compute", "level" : "intermediate" }, { "name" : "Pre-silicon modeling", "level" : "intermediate" }, { "name" : "Pre-silicon simulation", "level" : "intermediate" }, { "name" : "Power management", "level" : "intermediate" }, { "name" : "Hardware instrumentation", "level" : "intermediate" }, { "name" : "Telemetry systems", "level" : "intermediate" }, { "name" : "High core-count systems", "level" : "intermediate" }, { "name" : "Large-scale compute", "level" : "intermediate" } ], "majorSkills" : "Power validation, Performance validation, AI compute silicon, System performance", "majorSkillsList" : [ "Power validation", "Performance validation", "AI compute silicon", "System performance" ], "coreResponsibilities" : "Define validation strategies, Lead validation strategies, Drive validation strategy execution, Lead power validation activities, Lead thermal validation activities, Lead performance validation activities, Ensure products meet expectations, Develop validation plans, Execute validation activities, Lead post-silicon bring-up, Lead characterization activities, Drive validation of CPU subsystems, Drive validation of memory subsystems, Drive validation of interconnect subsystems, Drive validation of I/O subsystems, Develop scalable automation frameworks, Develop regression infrastructure, Develop reporting tools, Design benchmark workloads, Execute benchmark workloads, Design performance experiments, Execute performance experiments, Identify optimization opportunities, Debug complex technical issues, Resolve complex technical issues, Define validation metrics, Define pass/fail criteria, Define reporting methodologies, Ensure repeatable analysis, Ensure high-quality analysis, Guide development of custom workload generators, Guide development of micro-benchmarks, Analyze power data, Analyze thermal data, Analyze performance data, Identify bottlenecks, Recommend improvements, Contribute to continuous improvement, Improve validation processes, Improve validation tooling, Improve engineering practices, Communicate technical findings, Communicate project status, Communicate risks, Communicate recommendations, Support knowledge sharing, Contribute to continuous improvement", "teamCollaboration" : "Cross-functional teams; Architecture teams; RTL teams; Firmware teams; Software teams; Systems teams; Engineering leadership", "projectManagementSkills" : [ "Planning and execution" ], "domainKnowledge" : "AI compute; SoC architecture; High-speed I/O; AI accelerators; GPU architecture; High-performance compute", "domainList" : [ "ai-compute", "soc-architecture", "high-speed-i-o", "ai-accelerators", "gpu-architecture", "high-performance-compute" ], "domainSpecificKnowledge" : [ "AI compute", "SoC architecture", "High-speed I/O", "AI accelerators", "GPU architecture", "High-performance compute" ], "toolProficiency" : [ "Stress-ng", "Fio", "Perf", "Iperf" ], "communicationSkills" : "Communicate technical findings; Communicate project status; Communicate risks; Communicate recommendations", "problemSolvingSkills" : "Debugging complex issues; Identify bottlenecks; Root cause analysis", "qualificationsBasic" : "Power and performance validation experience, Silicon characterization experience, System performance engineering experience, SoC architecture understanding, CPU, memory, interconnect, I/O knowledge, Linux systems knowledge, Low-level performance analysis experience, Python programming skills, Benchmarking and profiling tools experience, Complex hardware/software debugging, Structured validation methodologies, Workload models and test strategies, Analytical skills, Interpret large datasets, Identify system bottlenecks, Cross-functional collaboration skills, Work independently on complex tasks", "qualificationsPreferred" : "AI accelerator architecture experience, GPU architecture experience, High-performance compute architecture experience, Pre-silicon modelling experience, Pre-silicon simulation environments experience, Power management technologies knowledge, Silicon characterization methodologies knowledge, C/C++ programming experience, Low-level system development experience, Benchmark development experience, Hardware instrumentation familiarity, Telemetry systems familiarity, High core-count systems experience, Large-scale compute systems experience, Shared validation infrastructure contribution, Engineering best practices contribution", "workSiteFlexibility" : "Onsite", "rawDescription" : "Staff -Power and Performance Validation Engineer About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously improve validation infrastructure and methodologies. Responsibilities and Duties Define and lead validation strategies for power, thermal and performance characterization of AI compute silicon and platforms Contribute to planning and execution of validation activities across multiple projects and milestones Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios Lead post-silicon bring-up and characterization activities for power and performance validation Drive validation of CPU, memory, interconnect and high-speed I/O subsystems under complex workload conditions Develop scalable automation frameworks, regression infrastructure and reporting tools using Python Design and execute benchmark workloads, parameter sweeps and performance experiments to identify optimization opportunities Collaborate with architecture, RTL, firmware, software and systems teams to debug and resolve complex technical issues Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis Guide development of custom workload generators and micro-benchmarks where required Analyse power, thermal and performance data to identify bottlenecks and recommend improvements Contribute to continuous improvement of validation processes, tooling and engineering practices Communicate technical findings, project status, risks and recommendations clearly to stakeholders and engineering leadership Support knowledge sharing and contribute to continuous improvement across the validation organisation Candidate Profile Essential: Strong experience in power and performance validation, silicon characterization or system performance engineering Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies Strong Linux systems knowledge and low-level performance analysis experience Strong Python programming skills for automation, orchestration and data analysis Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies Experience debugging complex hardware and software interactions Ability to define structured validation methodologies, workload models and test strategies Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks Strong communication and cross-functional collaboration skills Ability to work independently on complex technical tasks while collaborating effectively across teams Desirable Experience with AI accelerator, GPU or high-performance compute architectures Experience with pre-silicon modelling or simulation environments Knowledge of power management technologies and silicon characterization methodologies Programming experience in C/C++ for low-level system or benchmark development Familiarity with hardware instrumentation and telemetry systems Experience working with high core-count or large-scale compute systems Experience contributing to shared validation infrastructure and engineering best practices", "summaryDescription" : "Staff -Power and Performance Validation Engineer at Graphcore. Skills: Power validation, Performance validation, AI compute silicon, System performance. Define validation strategies. Lead validation strategies", "postedDate" : "2026-06-14T02:28:52.967", "createdAt" : "2026-06-14T02:28:52.967", "lastUpdated" : "2026-06-15T13:01:56.883", "ingestTimestamp" : "2026-06-14T02:28:52.967", "mongoId" : "6a2c951474d8ee00a098c3a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Power validation", "Performance validation", "Thermal validation", "Silicon characterization", "System performance", "SoC architecture", "CPU architecture", "Memory architecture", "Interconnect architecture", "High-speed I/O", "Linux systems", "Low-level performance", "Python programming", "Automation", "Orchestration", "Data analysis", "Benchmarking", "Profiling", "Hardware debugging", "Software debugging", "Workload modeling", "Test strategy", "Data interpretation", "Bottleneck identification", "AI accelerators", "GPU architecture", "High-performance compute", "Pre-silicon modeling", "Pre-silicon simulation", "Power management", "Hardware instrumentation", "Telemetry systems", "High core-count systems", "Large-scale compute", "AI compute silicon", "Validation strategy", "Performance analysis", "Automation frameworks", "System design", "Planning and execution", "AI compute", "Stress-ng", "Fio", "Perf", "Iperf" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 681.3769, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6c1a74d8ee00a0916c7e", "title" : "Product Verification and Validation Engineer", "company" : "Tactacam", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Verification and Validation Engineer in Billings, United States, adjusted for industry and company size." }, "location" : "Billings, Montana, United States", "locations" : [ "Billings", "Montana", "United States" ], "timestamp" : "2026-06-16T01:31:59.851", "fingerprint" : "6d2b2974331cfdb336e998e797f05e4dadb8bbce3b0a7ea6a3a7040c33326022", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactacam/jobs/4253885009", "externalId" : "4253885009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Billings", "state" : "Montana", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.7874957,-108.4960700" } ], "locationText" : "Billings, Montana, United States", "remoteFriendly" : false, "rawDescription" : "Company Overview: Tactacam is a leading innovator in outdoor and action camera technology, dedicated to providing high-quality products that enhance the outdoor experience. With over 1,000,000 active customers, we continue to push the boundaries of technology, design, and functionality. Our team is passionate about developing cutting-edge products, and we offer exciting opportunities for career growth in a dynamic, fast-paced environment. Job Overview: At Tactacam, a rapidly growing and market-leading outdoor products and technology company, we offer exciting opportunities for career growth and personal development. With a loyal customer base of over 600,000+ active customers worldwide and expanding product offerings, we are seeking a Product Verification and Validation Engineer. The successful candidate will lead the development of new Camera and Cellular IoT devices for consumer and private outdoor applications. In this position, you will collaborate with third-party ODM or JDM partners throughout the product lifecycle. Responsibilities include defining requirements, reviewing electrical designs, executing Verification and Validation (V&V) testing, and supporting the manufacturing phase during New Product Introduction (NPI). In this role you will be the ultimate SME on designing tests for our products inside the lab and in the field from an engineering context. Join us at Tactacam, where innovation, adventure, and limitless possibilities await! Responsibilities: Collaborate with the cross functional development teams to accomplish project deliverables. Perform electrical circuit review at all stages of Product Development i. e. Proof of Concept, EVT, DVT, PVT, Mass Production. Verify and Validate electrical designs meet functional, quality, reliability, manufacturability, and safety requirements. Based on review and testing, issue ECRs and ECOs during EVT, DVT, PVT, and Mass Production stages. Manage and organize electrical BOMs with emphasis on High Volume, Low Cost designs. Resolve and track technical issues in project management tools (JIRA). Review and qualify alternative electrical parts during engineering validation and development stages and support sustaining engineering in qualifying alternative parts after production release. Work cross-functionally to ensure electrical designs meet EMC compliance, USB-C compliance, PTCRB compliance, Battery Compliance, and Cellular Carrier certification requirements. Operate as a self-motivated professional who is proactive in finding solutions to existing and new challenges. Requirements: BS in Electrical Engineering or technical field. 10+ years of experience in test design from engineering artifacts with consumer or commercial products, or similar. Direct experience designing tests to examine: Microcontrollers, SOCs, memory devices, power systems, high-speed transceivers, and LTE/WiFi/BT/GPS devices. Various serial interfaces such as I2C, I2S, SPI, UART, USB, MIPI, SDI and SLVS-EC signals. Firmware/Hardware interaction ‘Golden’ data sets Performance of mechanical, electrical and firmware interactions. Proficient in circuit design for high quality and power-efficient embedded systems. Familiar with EMC Compliance standards and certification process (CE EMC, FCC, PTCRB). Proven ability in independently analyzing root cause, complex design debugging, and problem solving with minimal guidance. Experience with an ‘on board’ validation and fault detection system like Memfault Expertise in test design lifecycle Preferred Skills: Experience with standards related to the IoT industry, such as Cellular LTE and Wi-Fi. Experience with Low Power Design, Battery Management, Battery Charging, and Solar Panel Integration. Experience with camera module hardware design and/or raw imager integration. Experience evaluating, testing, and qualifying PIR sensors and lenses for occupancy detection. Experience working with RF circuit design, RF layout, antenna integration, and RF testing. Experience analyzing Switch Mode Power Supply design, performance, and noise mitigation. Experience with embedded programming languages such as C, C++. Experience with Power and Signal Integrity Analysis. Experience performing circuit margin analysis on Digital, Analog, and Power circuits. Experience with USB-C Power Delivery. Mixed Signal circuit design with knowledge of optimal grounding schemes and return paths. Hands-on experience with rapid prototyping. This position is located in Billings, MT and would require relocation. Comprehensive Benefits Package: Our benefits include Medical, Dental, and Vision coverage to ensure your well-being. Plan for the future with our 401k plan, and take time off to recharge with PTO. We've got you covered with Disability Insurance and Life Insurance too! Location Limitations: Please note at this time, we are not accepting applications from candidates based in Alaska (AK), Connecticut (CT), Delaware (DE), Massachusetts (MA), New Mexico (NM), and South Dakota (SD) Equal Opportunity Employer: Tactacam is an equal opportunity employer and does not discriminate against any applicant or employee based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or any other protected status. We are committed to providing a fair and inclusive work environment for all, and we encourage individuals of all backgrounds to apply for our open positions. If you require reasonable accommodation during the application process, please let us know, and we will be happy to assist.", "summaryDescription" : "Product Verification and Validation Engineer at Tactacam", "postedDate" : "2026-06-14T19:10:11.333", "createdAt" : "2026-06-14T19:10:11.333", "lastUpdated" : "2026-06-16T01:31:59.851", "ingestTimestamp" : "2026-06-14T19:10:11.333", "mongoId" : "6a2c6c1a74d8ee00a0916c7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 675.8367, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69c94a669bc74574cbbb3081", "title" : "SW Automation and Framework Engineer", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T02:22:36.457", "fingerprint" : "a9c3bdeaf03649383b9ef6ff5348365ee284a67db5237b340a337af1b5818aec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198802/apply", "externalId" : "d8951ab0-7a99-426a-b606-35f2b9fac3a7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, C#, C++, Java, Perl", "professionalSkills" : [ "System architecture", "Spectrum coordination", "Link budgets", "System trade-offs" ], "hardSkillsList" : [ "RF validation", "System test cases", "Performance testing", "Regression testing", "Automated test execution", "Log analysis", "Telemetry analysis", "Device configuration", "Test orchestration", "Test infrastructure control", "RF system performance", "Throughput validation", "Link behavior validation", "Interference validation", "Stability metrics", "Packet captures", "RF instrumentation" ], "hardSkills" : [ { "name" : "RF validation", "level" : "intermediate" }, { "name" : "System test cases", "level" : "intermediate" }, { "name" : "Performance testing", "level" : "intermediate" }, { "name" : "Regression testing", "level" : "intermediate" }, { "name" : "Automated test execution", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Telemetry analysis", "level" : "intermediate" }, { "name" : "Device configuration", "level" : "intermediate" }, { "name" : "Test orchestration", "level" : "intermediate" }, { "name" : "Test infrastructure control", "level" : "intermediate" }, { "name" : "RF system performance", "level" : "intermediate" }, { "name" : "Throughput validation", "level" : "intermediate" }, { "name" : "Link behavior validation", "level" : "intermediate" }, { "name" : "Interference validation", "level" : "intermediate" }, { "name" : "Stability metrics", "level" : "intermediate" }, { "name" : "Packet captures", "level" : "intermediate" }, { "name" : "RF instrumentation", "level" : "intermediate" } ], "majorSkills" : "SW Automation, Framework Engineering, RF Validation, System Testing", "majorSkillsList" : [ "SW Automation", "Framework Engineering", "RF Validation", "System Testing" ], "coreResponsibilities" : "Develop RF validation test cases, Automate RF validation test cases, Maintain RF validation test cases, Implement automation for RF tests, Expand automated test suites, Execute automated RF test campaigns, Analyze test outcomes, Analyze logs, Analyze telemetry, Identify failures, Isolate issues, Support debugging, Develop Python scripts, Configure devices, Orchestrate test scenarios, Control test infrastructure, Automate test setup workflows, Automate configuration workflows, Automate execution workflows, Automate log collection workflows, Automate results processing workflows, Validate RF system performance, Check throughput, Check link behavior, Check interference conditions, Check stability metrics, Troubleshoot issues, Improve automation reliability, Maintain automated test libraries, Work with engineers, Translate validation requirements, Support large-scale validation, Run scheduled test executions, Run on-demand test executions, Document automated test cases, Document execution procedures, Document troubleshooting steps", "teamCollaboration" : "RF engineers; Networking engineers; Systems engineers", "domainKnowledge" : "Low Earth Orbit satellites; Broadband wireless; RF systems; Wireless system architecture", "domainList" : [ "low-earth-orbit-satellites", "broadband-wireless", "rf-systems", "wireless-system-architecture" ], "domainSpecificKnowledge" : [ "Low Earth Orbit satellites", "Broadband wireless", "RF systems", "Wireless system architecture" ], "toolProficiency" : [ "Linux" ], "documentationSkills" : "Document test cases; Document procedures; Document troubleshooting", "problemSolvingSkills" : "Troubleshoot issues; Root cause analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted into U. S.", "qualificationsBasic" : "3+ years software development experience, 2+ years system design experience, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent", "qualificationsPreferred" : "3+ years full software development life cycle experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon LEO is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Come work at Amazon! The Role: Be part of the team defining the system level architecture of Amazon LEO's broadband wireless system from customer end points to terrestrial gateways via Low Earth Orbit satellites. This is a unique opportunity to define a groundbreaking wireless solution with few legacy constraints. The team analyzes customer requirements for overall throughput / availability of the network, assignment of resources to each customer area, coordination of spectrum with regulators and other users of the spectrum, and optimization of link budgets and system trade-offs In this role you will: • Develop, automate, and maintain RF validation and system test cases using Python within Linux-based test environments. • Implement automation for new RF functional, performance, and regression tests based on validation plans and engineering requirements. • Maintain and expand existing automated test suites to ensure continuous coverage as new features and firmware are introduced. • Execute automated RF test campaigns across lab testbeds and deployed validation environments, ensuring repeatable and reliable results. • Analyze test outcomes, logs, and telemetry to identify failures, isolate issues, and support debugging with RF and systems teams. • Develop Python scripts to configure devices, orchestrate test scenarios, and control test infrastructure required for RF validation. • Automate workflows for test setup, configuration, execution, log collection, and results processing across multiple Linux-based systems. • Validate RF system performance through automated checks of throughput, link behavior, interference conditions, and stability metrics. • Troubleshoot issues using Linux tools, packet captures, system logs, and RF instrumentation outputs. • Continuously improve automation reliability through better error handling, logging, and reproducible test execution. • Maintain automated test libraries, ensuring test cases remain accurate as system behavior and requirements evolve. • Work closely with RF, networking, and systems engineers to translate validation requirements into automated test implementations. • Support large-scale validation by running scheduled and on-demand automated test executions across multiple test platforms. • Document automated test cases, execution procedures, and troubleshooting steps to ensure long-term maintainability and team adoption. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "SW Automation and Framework Engineer at Amazon Kuiper Manufacturing Enterprises LLC. Skills: SW Automation, Framework Engineering, RF Validation, System Testing. Develop RF validation test cases. Automate RF validation test cases", "postedDate" : "2026-06-13T09:19:48.044", "createdAt" : "2026-06-13T09:19:48.044", "lastUpdated" : "2026-06-15T02:22:36.457", "ingestTimestamp" : "2026-06-13T09:19:48.044", "mongoId" : "69c94a669bc74574cbbb3081", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198802/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "RF validation", "System test cases", "Performance testing", "Regression testing", "Automated test execution", "Log analysis", "Telemetry analysis", "Device configuration", "Test orchestration", "Test infrastructure control", "RF system performance", "Throughput validation", "Link behavior validation", "Interference validation", "Stability metrics", "Packet captures", "RF instrumentation", "SW Automation", "Framework Engineering", "RF Validation", "System Testing", "System architecture", "Spectrum coordination", "Link budgets", "System trade-offs", "Low Earth Orbit satellites", "Broadband wireless", "RF systems", "Wireless system architecture", "Linux" ], "skillCount" : 30, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 667.316, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21770274d8ee00a0c1b896", "title" : "Software Development Engineer, FTV Frameworks and Performance", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:05:57.833", "fingerprint" : "c336f6c2f8a43f2b2844cdf8cca128b629c1414bffcd8becd6e5947e297087d6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435882/apply", "externalId" : "16f48367-ec7f-4466-92ea-db115b9964c6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Android, Linux, IOS, C++, Java, Rust, C, React Native, Python, AI", "professionalSkills" : [ "System design", "Architecture review", "Performance evaluation" ], "hardSkillsList" : [ "Data analysis", "Debugging", "Root-cause analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Root-cause analysis", "level" : "intermediate" } ], "majorSkills" : "Android internals, Operating system performance, Frameworks", "majorSkillsList" : [ "Android internals", "Operating system performance", "Frameworks" ], "coreResponsibilities" : "Contribute to architecture and operating system performance, Drive optimizations to user experience, Take part in implementation and delivery of Android, Take part in implementation and delivery of performance, Work closely with application teams, Work closely with partners, Take product from concept to customer release, Ensure highest level of quality, Create innovative new products, Perform new Software architecture review, Contribute to development of latest features, Contribute to development of enhancements, Develop advanced tools, Develop robust infrastructure, Perform sophisticated data analysis, Generate insightful reports, Debug and Root-Cause System Stability, Debug and Root-Cause Performance issues, Instrument Fire OS, Monitor Fire OS, Enhance Fire OS, Develop applications, Extend features, Create new benchmarks, Suggest optimizations, Implement optimizations, Influence architecture decisions, Specify system requirements, Collaborate with teams incorporating features", "teamCollaboration" : "Application teams; Partners", "domainKnowledge" : "Android internals; Operating system; Consumer electronics; Mobile devices; Tablet devices; TV devices; System domains", "domainList" : [ "android-internals", "operating-system", "consumer-electronics", "mobile-devices", "tablet-devices", "tv-devices", "system-domains" ], "domainSpecificKnowledge" : [ "Android internals", "Operating system", "Consumer electronics", "Mobile devices", "Tablet devices", "TV devices", "System domains" ], "innovationCreativity" : "Create innovative new products", "problemSolvingSkills" : "Debugging; Problem-solving skills; Root-Cause Analysis", "qualificationsBasic" : "3+ years professional software development, 2+ years design or architecture, Programming with at least one software language", "qualificationsPreferred" : "3+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job summary Fire TV is the #1 best-selling streaming media player in the U.S. We are looking for a strong software development engineer to contribute to the architecture and operating system level performance. In this role you will have the opportunity to drive optimizations to the user experience of all Fire TV devices. The ideal candidate has great debugging and problem-solving skills and deep knowledge of Android internals. You will also have an interest in developing automated solutions for consumer-facing products, strong technical ability, excellent organizational skills, great communication skills, a motivation to achieve results in a fast-paced environment. Key job responsibilities As a Software Development Engineer in the Device OS, you will take part in the implementation and delivery of Android frameworks and performance features for devices. You will work closely with the application teams, as well as partners to take the product from concept to customer release while ensuring the highest level of quality for your deliverables. You must have in-depth expertise working with Android frameworks stack or any high-level Operating system such as Linux or IOS. You must enjoy working on a variety of system domains that are typically found in a consumer electronics mobile, tablet or a TV device. In this role, you will: * Create innovative new products that are used by millions of users * Perform new Software architecture review for future products and SoCs platform. * Contribute to the development of latest features and enhancements for the FTV Android/Linux OS frameworks. The ideal candidate should possess strong proficiency in at least one of the following programming languages: C++, Java, Rust, C, or React Native. * Develop advanced tools and robust infrastructure leveraging AI to perform sophisticated data analysis and generate insightful reports. The candidate should posses strong proficiency in scripting languages like Python. * Debug and Root-Cause System Stability & Performance issues on FTV devices. * Instrument, monitor and enhance Fire OS for every Fire TV device * Develop applications, extend features, and create new benchmarks for performance evaluation * Suggest and implement optimizations to Fire OS * Influence architecture decisions for best performance * Specify system requirements for upcoming Fire TV devices * Collaborate with teams incorporating features into Fire TV for optimal performance and user-experience Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, FTV Frameworks and Performance at ADCI. Skills: Android internals, Operating system performance, Frameworks. Contribute to architecture and operating system performance. Drive optimizations to user experience", "postedDate" : "2026-06-13T04:27:12.193", "createdAt" : "2026-06-13T04:27:12.193", "lastUpdated" : "2026-06-15T01:05:57.833", "ingestTimestamp" : "2026-06-13T04:27:12.193", "mongoId" : "6a21770274d8ee00a0c1b896", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435882/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Debugging", "Root-cause analysis", "Android internals", "Operating system performance", "Frameworks", "System design", "Architecture review", "Performance evaluation", "Operating system", "Consumer electronics", "Mobile devices", "Tablet devices", "TV devices", "System domains" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 666.2501, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2176c774d8ee00a0c1adc4", "title" : "Software Development Manager, Network Monitoring and Remediation", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 184000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:00:50.485", "fingerprint" : "4506adfa2e320f125f69a5191d15ac8c3f6c0380c49e3b38309f4fe2cc333c86", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438677/apply", "externalId" : "1ed3e467-fa05-48a2-972b-2d6ee65c0b8a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Java, C#, C++, Service-oriented architecture, Distributed programming, ML/AI, Streaming analytics", "professionalSkills" : [ "People leadership", "Technical expertise", "Business planning", "Resource strategy", "Goal-setting", "Technical strategy", "Business strategy", "Judgment", "Problem-solving", "Business context" ], "hardSkillsList" : [ "Network monitoring", "Network remediation", "Data management", "Observability" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Network monitoring", "level" : "intermediate" }, { "name" : "Network remediation", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Network Monitoring, Network Remediation, Data Management, Observability", "majorSkillsList" : [ "Network Monitoring", "Network Remediation", "Data Management", "Observability" ], "coreResponsibilities" : "Build software development team, Lead software development team, Grow software development team, Drive design of services, Drive implementation of services, Drive deployment of services, Lead complex programs, Lead multi-team programs, Lead cross-functional programs, Attract engineering talent, Develop engineering talent, Partner with senior leadership, Define technical strategy, Define business strategy, Execute technical strategy, Execute business strategy, Apply judgment, Apply creative problem-solving, Connect technical decisions, Stay ahead of trends, Inform roadmap, Mentor software development team, Hire software development team, Lead design of services, Lead implementation of services, Lead deployment of services, Serve as lead on projects, Participate in hiring, Assist in career development, Play critical role in business, Develop business targets, Develop resource requirements, Define long-term technical strategy, Define long-term business strategy, Define long-term goals, Demonstrate creativity, Demonstrate judgment, Understand business context", "teamCollaboration" : "Cross-functional programs; Senior leadership; Broader technical leadership; Cross organizational boundaries", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "AWS infrastructure; Network monitoring; Network remediation; Distributed systems; Large-scale services; Cloud infrastructure; Supply chain", "domainList" : [ "aws-infrastructure", "network-monitoring", "network-remediation", "distributed-systems", "large-scale-services", "cloud-infrastructure", "supply-chain" ], "domainSpecificKnowledge" : [ "AWS infrastructure", "Network monitoring", "Network remediation", "Distributed systems", "Large-scale services", "Cloud infrastructure", "Supply chain" ], "communicationSkills" : "Collect requirements; Describe software product features; Describe technical designs; Describe product strategy", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Creative problem-solving; Complex technical problems", "outcomesObjectives" : "Deliver highest standards for safety; Deliver highest standards for security; Provide infinite capacity; Achieve lowest possible cost", "qualificationsBasic" : "3+ years engineering team management, 7+ years engineering experience, 8+ years leading multi tier web services development, 3+ years Software Engineer experience, 1+ years technical leadership, 1+ years project management, 1+ years developing large-scale distributed software systems using Java, 1+ years developing large-scale distributed software systems using C#, 1+ years developing large-scale distributed software systems using C++, 1+ years developing large-scale distributed software systems using service-oriented architecture, 1+ years developing large-scale distributed software systems using distributed programming, Bachelor's degree or foreign equivalent in Computer Science, Bachelor's degree or foreign equivalent in Engineering, Bachelor's degree or foreign equivalent in Mathematics, Knowledge of engineering practices for full software development life cycle, Knowledge of coding standards, Knowledge of code reviews, Knowledge of source control management, Knowledge of build processes, Knowledge of testing, Knowledge of certification, Knowledge of livesite operations, Experience partnering with product management teams, Experience partnering with program management teams", "qualificationsPreferred" : "Experience communicating with users, Experience communicating with other technical teams, Experience communicating with senior leadership, Experience recruiting engineers, Experience hiring engineers, Experience mentoring engineers, Experience coaching engineers, Experience managing teams of Software Engineers, Experience improving engineer skills, Experience making engineers more effective", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS operates one of the world's largest and most complex networks — and it's growing fast. Millions of customers run mission-critical workloads that depend on us being always on. Network Monitoring and Remediation (NMR) is the team that makes that possible. We prevent, predict, detect, and remediate network impairments before they reach customers. Our systems ingest trillions of telemetry data points daily from millions of network devices, apply advanced streaming analytics and ML/AI to surface actionable signals, and drive automated mitigation through our event management platform. Today, over 98% of detected issues are resolved without human intervention. For the remainder, we provide expert diagnostic tooling that enables operators to act decisively. Our vision: every network failure is pre-emptively resolved by autonomous systems — zero customer impact, zero human intervention. We're looking for a Software Development Manager to lead a team building an ambitious data management and observability product at the heart of this mission. Why This Role: This is a high-impact opportunity with enormous growth potential. You'll own the end-to-end lifecycle — design, development, testing, and deployment — of systems that protect the backbone of AWS. We want a leader who is passionate about people, distributed systems, and delivering for customers. You'll combine deep technical expertise with strong people leadership: mentoring engineers, contributing hands-on, and driving clarity on complex technical problems. As an SDM at Amazon, you'll be part of a broader technical leadership community that shapes business strategy, partners with senior executives, attracts top talent, and delivers results at scale. What You'll Do - Build, lead, and grow a world-class software development team. - Drive the design, implementation, and deployment of highly distributed, large-scale services. - Lead complex, multi-team, cross-functional programs from ambiguity to delivery. - Attract and develop exceptional engineering talent — on your team and beyond. - Partner with senior leadership on business planning, resource strategy, and goal-setting. - Define and execute long-term technical and business strategy. - Apply strong judgment and creative problem-solving to high-stakes decisions. - Connect technical decisions to business context across organizational boundaries. - Stay ahead of industry and technology trends to inform your roadmap. Key job responsibilities - Lead, mentor, and hire-for a world-class software development team. - Lead the design, implementation, and deployment of successful highly distributed, large scale services. - Serve as a lead on demanding, complex, multi-team, cross-functional projects. - Actively participate in hiring talented people and assisting in the career development of people within and outside your team. - Play a critical role in the broader business planning; working closely with senior executives to develop business targets and resource requirements. - Define long-term technical and business strategy and goals. - Demonstrate high levels of creativity and the right judgment, most of the time. - Understand business context to decisions made within and across groups. - Maintain a current understanding of industry and technology trends. Basic Qualifications: - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience - 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience - 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams Preferred Qualifications: - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually", "summaryDescription" : "Software Development Manager, Network Monitoring and Remediation at Amazon.com Services LLC. Skills: Network Monitoring, Network Remediation, Data Management, Observability. Build software development team. Lead software development team", "postedDate" : "2026-06-13T11:27:28.806", "createdAt" : "2026-06-13T11:27:28.806", "lastUpdated" : "2026-06-15T06:00:50.485", "ingestTimestamp" : "2026-06-13T11:27:28.806", "mongoId" : "6a2176c774d8ee00a0c1adc4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438677/apply", "salaryAnnualMin" : 184000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Network monitoring", "Network remediation", "Data management", "Observability", "Leadership", "Mentoring", "Network Monitoring", "Network Remediation", "Data Management", "People leadership", "Technical expertise", "Business planning", "Resource strategy", "Goal-setting", "Technical strategy", "Business strategy", "Judgment", "Problem-solving", "Business context", "Project management", "AWS infrastructure", "Distributed systems", "Large-scale services", "Cloud infrastructure", "Supply chain" ], "skillCount" : 25, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 647.697, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5e3b9bc74574cb677a4b", "title" : "Intern - Infrastructure Monitoring Analyst", "company" : "Mercedes-Benz Singapore Pte. Ltd.", "industry" : "Technology", "salary" : { "min" : 12000.0, "max" : 24000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Singapore, adjusted for the technology industry and a large global company." }, "location" : "Singapore-Singapore-Singapore", "locations" : [ "Singapore-Singapore-Singapore", "1 Gateway Drive, 15-01 Westgate Tower, , Singapore" ], "timestamp" : "2026-06-15T09:35:33.617", "fingerprint" : "cff265bd7e11ca7933e973400d17b068151e03d2b1324a9a8dfbfab9f8c51c4b", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=886256", "externalId" : "886256", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "state" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2959845,103.7766186" } ], "locationText" : "Singapore, Singapore, Singapore", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "IT Infrastructure, Servers, Networks, Databases, Applications, Windows, Linux, SolarWinds, Splunk, Data analysis, Excel, Power BI, IT architecture", "professionalSkills" : [ "Information streamlining", "Data collection", "Configuration optimization", "Data analysis", "Trend identification", "Performance reporting", "Process optimization", "Vendor management" ], "hardSkillsList" : [ "Data interpretation", "Trend analysis", "Process documentation" ], "softSkillsList" : [ "Analytical thinking", "Problem-solving", "Team collaboration", "Process improvement" ], "hardSkills" : [ { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" }, { "name" : "Problem-solving" }, { "name" : "Team collaboration" }, { "name" : "Process improvement" } ], "majorSkills" : "Infrastructure monitoring, Data analysis, Process optimization", "majorSkillsList" : [ "Infrastructure monitoring", "Data analysis", "Process optimization" ], "coreResponsibilities" : "Collaborate with vendors, Optimize monitoring information flow, Review communication channels, Implement process improvements, Document streamlined processes, Assist monitoring data collection, Optimize tool configurations, Enhance data quality, Reduce data redundancy, Ensure data integrity, Analyze collected data, Interpret performance data, Identify potential issues, Assess streamlining impact, Create performance reports, Provide actionable insights, Identify reference architecture, Link architecture to monitoring", "teamCollaboration" : "Work with IT vendor; Work with internal teams; Collaborate with stakeholders", "domainKnowledge" : "IT infrastructure; Monitoring tools; IT architecture; Application stacks; Network segments; Database clusters", "domainList" : [ "it-infrastructure", "monitoring-tools", "it-architecture", "application-stacks", "network-segments", "database-clusters" ], "domainSpecificKnowledge" : [ "IT infrastructure", "Monitoring tools", "IT architecture", "Application stacks", "Network segments", "Database clusters" ], "toolProficiency" : [ "SolarWinds", "Splunk", "Excel", "Power BI" ], "communicationSkills" : "Verbal communication; Written communication; Report creation", "documentationSkills" : "Process documentation; Reference architecture documentation", "problemSolvingSkills" : "Problem-solving; Root cause analysis", "outcomesObjectives" : "Enhance monitoring efficiency; Enhance monitoring effectiveness; Ensure timely insights; Ensure accurate insights", "qualificationsBasic" : "Basic understanding IT infrastructure, Familiarity operating systems, Basic data analysis skills, Basic IT architecture concepts", "qualificationsPreferred" : "Basic knowledge IT monitoring tools, Foundational understanding IT architecture", "remoteFriendly" : false, "rawDescription" : "This internship project builds upon previous work, offering a hands-on experience in IT infrastructure monitoring, data analysis, and process optimization. The intern will continue to work closely with our IT vendor and internal teams, focusing on assisting with the ongoing collection of monitoring information and critically evaluating and streamlining the flow of this information from vendors. This role aims to enhance the efficiency and effectiveness of our monitoring processes, ensuring timely and accurate insights. An optional component of the project includes documenting the reference FMO architecture of infrastructure services and linking it to what is monitored. 1. Vendor Collaboration and Information Streamlining Objective: Collaborate with vendors to optimize the collection and flow of monitoring information, identifying opportunities for efficiency. Tasks: Review existing communication channels and data transfer methods with vendors for monitoring information. Propose and assist in implementing improvements for more efficient and automated data collection from vendor tools. Document streamlined processes and best practices for vendor information exchange. 2. Monitoring Data Collection and Configuration Optimization Objective: Assist in the ongoing collection of monitoring data and optimize tool configurations for improved data quality and accessibility. Tasks: Support the regular collection and organization of monitoring data from various tools and sources. Review and suggest improvements to monitoring tool configurations to enhance data relevance, reduce redundancy, and ensure data integrity. Ensure proper storage, accessibility, and version control of collected monitoring data and configurations. 3. Data Analysis and Trend Identification Objective: Analyze the data collected from the monitoring tools to interpret performance, identify potential issues, and assess the impact of streamlining efforts. Tasks: Collect and organize data from the monitoring tools, including data gathered through streamlined processes. Use analytical methods to interpret the data, identify trends, anomalies, and potential issues within the IT infrastructure. 4. Optional: Performance Reporting and Insights Objective: Create regular reports on IT infrastructure performance and provide insights based on the data analysis, highlighting improvements from streamlining. Tasks: Generate regular performance reports, incorporating data from optimized collection methods. Provide actionable insights and recommendations based on the analysis, including suggestions for further process improvements. 5. Optional: Reference Architecture and Monitoring Alignment Objective: Identify the reference architecture of various IT platforms and link them to the expected monitoring reports. Tasks: Work with internal teams and vendors to identify and document the reference architectures of key IT platforms (e.g., application stacks, network segments, database clusters). Analyze how the current monitoring tools and reports align with the critical components and dependencies within these architectures. Propose adjustments to monitoring configurations or reporting to ensure comprehensive coverage based on architectural insights. Technical Skills Basic Understanding of IT Infrastructure: Knowledge of servers, networks, databases, and applications. Familiarity with operating systems (Windows and Linux). Basic knowledge of common IT monitoring tools (e.g., SolarWinds, Splunk, etc.) is a plus. Basic skills in data analysis and interpretation. Familiarity with data visualization tools (e.g., Excel, Power BI, etc.). Foundational understanding of IT architecture concepts and components is a plus. Soft Skills Analytical Thinking: Strong analytical and problem-solving skills to interpret data, identify trends, pinpoint process inefficiencies, and understand architectural dependencies. Communication Skills: Good verbal and written communication skills for collaborating with vendors and internal teams, documenting findings, and creating clear, concise reports. Attention to Detail: Keen attention to detail for accurate data analysis, report generation, and process documentation. Team Collaboration: Ability to work effectively in a team environment and collaborate with various stakeholders. Process Improvement Mindset: A proactive approach to identifying and suggesting improvements for existing workflows and data collection methods. Mercedes-Benz Singapore Pte. Ltd.", "summaryDescription" : "Intern - Infrastructure Monitoring Analyst at Mercedes-Benz Singapore Pte. Ltd.. Skills: Infrastructure monitoring, Data analysis, Process optimization. Collaborate with vendors. Optimize monitoring information flow", "createdAt" : "2026-06-14T08:26:48.201", "lastUpdated" : "2026-06-15T09:35:33.617", "ingestTimestamp" : "2026-06-14T08:26:48.201", "mongoId" : "69ce5e3b9bc74574cb677a4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data interpretation", "Trend analysis", "Process documentation", "Analytical thinking", "Problem-solving", "Team collaboration", "Process improvement", "Infrastructure monitoring", "Data analysis", "Process optimization", "Information streamlining", "Data collection", "Configuration optimization", "Trend identification", "Performance reporting", "Vendor management", "IT infrastructure", "Monitoring tools", "IT architecture", "Application stacks", "Network segments", "Database clusters", "SolarWinds", "Splunk", "Excel", "Power BI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 639.33746, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafe574d8ee00a09d8278", "title" : "Hardware Validation Engineer", "company" : "Humanoid", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Hardware Validation Engineer in London, United Kingdom, adjusted for the technology industry and company size." }, "location" : "UK, London", "locations" : [ "UK, London" ], "timestamp" : "2026-06-15T11:25:24.461", "fingerprint" : "730e10b1eb88ed1574080c8449267bfbb9b073ca8a48cebbacca353a166f6b8b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/humanoid/796b413b-ac09-4595-8651-6dab3ab30963/application", "externalId" : "796b413b-ac09-4595-8651-6dab3ab30963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CAD, Python", "professionalSkills" : [ "Test equipment development", "Mechanical design", "Electrical design", "Procurement", "Vendor management" ], "hardSkillsList" : [ "Mechanical components", "Machining processes", "Fabrication processes", "Wiring harnesses", "Power distribution", "Sensor integration", "Schematics", "BOMs" ], "hardSkills" : [ { "name" : "Mechanical components", "level" : "intermediate" }, { "name" : "Machining processes", "level" : "intermediate" }, { "name" : "Fabrication processes", "level" : "intermediate" }, { "name" : "Wiring harnesses", "level" : "intermediate" }, { "name" : "Power distribution", "level" : "intermediate" }, { "name" : "Sensor integration", "level" : "intermediate" }, { "name" : "Schematics", "level" : "intermediate" }, { "name" : "BOMs", "level" : "intermediate" } ], "majorSkills" : "Test rig design, Hardware validation, Mechanical design, Electrical design", "majorSkillsList" : [ "Test rig design", "Hardware validation", "Mechanical design", "Electrical design" ], "coreResponsibilities" : "Lead test rig arrangement, Design custom mechanical jigs, Build custom mechanical fixtures, Commission test rigs, Define validation needs, Translate validation needs, Develop supportive test equipment specs, Create validation plans, Identify parts and equipment, Evaluate parts and equipment, Order parts and equipment, Manage supplier relationships, Negotiate lead times, Own budget and lead-time, Design mechanical components, Design electrical components, Apply manufacturability principles, Apply reliability principles, Support endurance tests, Support life-cycle tests, Understand certification contributions, Design certification-grade data rigs", "teamCollaboration" : "Work with systems owners; Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Robotics; Actuators; Manipulators; Perception systems; Power systems; EMC; Environmental testing; Safety certification; UL; CE; FCC; IEC 61000; IEC 60068", "domainList" : [ "robotics", "actuators", "manipulators", "perception-systems", "power-systems", "emc", "environmental-testing", "safety-certification", "ul", "ce", "fcc", "iec-61000", "iec-60068" ], "domainSpecificKnowledge" : [ "Robotics", "Actuators", "Manipulators", "Perception systems", "Power systems", "EMC", "Environmental testing", "Safety certification", "UL", "CE", "FCC", "IEC 61000", "IEC 60068" ], "toolProficiency" : [ "SolidWorks", "Fusion", "NX", "LabVIEW", "National Instruments", "Dewesoft" ], "documentationSkills" : "Schematics; BOMs", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "5+ years hardware validation, Proven hands-on rig design, CAD skills, Comfortable designing electrical side, Experience sourcing parts", "qualificationsPreferred" : "Proficiency with DAQ systems, Familiarity with certification processes, Prior experience validating robotic systems, Python for automation, Experience designing PCB test fixtures", "workSiteFlexibility" : "Onsite", "rawDescription" : "Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for an experienced Hardware Validation Engineer to own the in-house test infrastructure that validates our humanoid robots. This is a foundational, hands-on role: you will not just run tests; you will build the rigs that run them. You will be the engineer who walks into a conversation with a systems owner, leaves with a clear picture of what needs to be tested and what equipment that requires, then turns around and gets it built — sourcing parts, designing mechanical and electrical components, and commissioning the rigs on the validation floor. WHAT YOU'LL DO - 1. Test Rig & Jig Arrangement (Core Focus) - In-House Validation Rigs: Lead the arrangement of test rigs and jigs for in-house validation of subsystems and full robots. You decide what gets built, what gets bought, and how they integrate into the validation workflow. - Test Rig Development: Design and build custom mechanical jigs and fixtures to stress-test specific sub-systems (e.g., repeating arm movements, actuator loading, cable flexing, end-effector cycling). - Commissioning: Bring each rig from a CAD model to a working setup on the floor — wiring, instrumentation, data capture, and first article validation. 2. SCOPE & REQUIREMENTS DEFINITION - Systems Owners Engagement: Work directly with the owners of each robot subsystem (actuators, manipulators, perception, power, etc.) to define what needs to be validated, at what coverage, and with what fidelity. - Supportive Test Equipment Specs: Translate validation needs into concrete requirements for supportive equipment — PCB test beds, mechanical fixtures, instrumentation, data loggers — and decide what we build vs. buy. - Validation Plans: Convert the resulting scope into validation plans that align with the product release roadmap. 3. PROCUREMENT & SUPPLIER COORDINATION - Parts Sourcing: Identify, evaluate, and order parts and equipment from external suppliers — from standard COTS components to custom fixtures. - Vendor Management: Manage relationships with suppliers of test equipment and custom fabricated parts; negotiate lead times that align with our test schedule. - Cost & Lead Time: Own the budget and lead-time picture for the validation infrastructure you build. 4. MECHANICAL & ELECTRICAL RIG DESIGN - Mechanical Design: Design mechanical components of test rigs in CAD — fixtures, frames, motion stages, mounts — to a quality where they can be fabricated and assembled without rework. - Electrical Design: Design the electrical side of the rigs — wiring, power distribution, sensor integration, basic control electronics — including schematics and BOMs. - DfX for Test Rigs: Apply manufacturability and reliability principles to your own rigs, so they remain trustworthy for the months or years they will be in service. 5. RELIABILITY & COMPLIANCE SUPPORT - Life-Cycle & Endurance Testing: Support long-term endurance and life-cycle tests (HALT/HASS, MTBF) where the rigs you build are the enabling infrastructure. - Regulatory Awareness: Understand what each validation activity contributes to certification (EMC, environmental, safety) and design rigs that produce certification-grade data where required. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware validation, test engineering, or test equipment development, preferably in robotics, automotive, or aerospace. - Rig Design: Proven hands-on experience designing and building test rigs and fixtures — from concept through commissioning. - Mechanical Design: Strong CAD skills (SolidWorks, Fusion, NX, or similar) and a working knowledge of mechanical components (linear stages, bearings, motors, actuators) and basic machining/fabrication processes. - Electrical Design: Comfortable designing the electrical side of a rig — schematics, wiring harnesses, power distribution, sensor integration. You can spec and wire up a DAQ from scratch. - Cross-Functional: Track record of working closely with system/component owners to translate validation needs into testable infrastructure. - Procurement: Experience sourcing parts and equipment from external suppliers, including custom fabrication. Nice-to-Have: - Data Acquisition: Proficiency with DAQ systems (LabVIEW, National Instruments, Dewesoft) and common sensors (accelerometers, thermocouples, load cells, encoders). - Regulatory Knowledge: Familiarity with certification processes (UL, CE, FCC) and standards (IEC 61000 for EMC, IEC 60068 for Environmental). - Robotics: Prior experience validating robotic systems (manipulators, legged platforms, AMRs). - Python: For automating data collection and basic test orchestration. - PCB Test Beds: Hands-on experience designing or commissioning PCB-level test fixtures. THE EQUIPMENT YOU WILL BUILD & MANAGE - Custom Mechanical Endurance Rigs (arm cyclers, joint loaders, cable flex testers) - PCB Test Beds and Functional Test Fixtures - Sensor & Actuator Characterization Stations - Battery and Power Test Setups - Data Acquisition and Logging Infrastructure WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.", "summaryDescription" : "Hardware Validation Engineer at Humanoid. Skills: Test rig design, Hardware validation, Mechanical design, Electrical design. Lead test rig arrangement. Design custom mechanical jigs", "createdAt" : "2026-06-14T09:37:03.273", "lastUpdated" : "2026-06-15T11:25:24.461", "ingestTimestamp" : "2026-06-14T09:37:03.273", "mongoId" : "6a2cafe574d8ee00a09d8278", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Mechanical components", "Machining processes", "Fabrication processes", "Wiring harnesses", "Power distribution", "Sensor integration", "Schematics", "BOMs", "Test rig design", "Hardware validation", "Mechanical design", "Electrical design", "Test equipment development", "Procurement", "Vendor management", "Roadmap planning", "Robotics", "Actuators", "Manipulators", "Perception systems", "Power systems", "EMC", "Environmental testing", "Safety certification", "UL", "CE", "FCC", "IEC 61000", "IEC 60068", "SolidWorks", "Fusion", "NX", "LabVIEW", "National Instruments", "Dewesoft" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 637.5095, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706967fc9a711f0f6f02b", "title" : "Product Compliance, Selection Validation - Listings", "company" : "ADCI HYD 13 SEZ", "industry" : "Investigation Loss Prevention, Risk Family, selling partner services", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Product Compliance role in E-commerce in Hyderabad, India, adjusted for seniority and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T03:50:18.242", "fingerprint" : "5235236eaf7be3ab3f261cceef2861c0f39237574b3243c5312997ac42454bdc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051358/apply", "externalId" : "e752579c-f709-43fb-85bb-dc2cb84784ad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, VB, HTML, XML", "professionalSkills" : [ "Business operations", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Data processing", "Report generation", "Report management", "Excel macros" ], "softSkillsList" : [ "Analytical", "Problem solving", "Logical reasoning" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Report management", "level" : "intermediate" }, { "name" : "Excel macros", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem solving" }, { "name" : "Logical reasoning" } ], "majorSkills" : "Product Compliance, Selection Validation, Data Operations", "majorSkillsList" : [ "Product Compliance", "Selection Validation", "Data Operations" ], "coreResponsibilities" : "Fulfil incoming requests following set Standard Operating Procedures, Adhere to Service Level Agreements, Maintain defined quality standards, Provide ideas for process improvement projects, Collaborate across internal teams for process improvement projects, Collaborate with stakeholders for process improvement projects, Operate in rotational shifts", "teamCollaboration" : "Internal teams; Stakeholders", "domainKnowledge" : "Amazon Marketplace; e-Commerce; Online business", "domainList" : [ "amazon-marketplace", "e-commerce", "online-business" ], "domainSpecificKnowledge" : [ "Amazon Marketplace", "e-Commerce", "Online business" ], "toolProficiency" : [ "Microsoft Office", "MS Excel" ], "communicationSkills" : "Written English; Oral English", "innovationCreativity" : "Innovation; Automation; Operational excellence", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Meet assigned goals; Ensure optimal productivity; Assured quality; Within set SLAs", "qualificationsBasic" : "Bachelor's degree, 1 to 3 years of experience in data-driven business operations processes, Business Process Outsourcing experience, Operations processes experience, Advanced computer literacy in Microsoft Office applications, MS Excel proficiency, Attention to detail, Capability to work on multiple processes, Excellent analytical skills, Excellent problem solving skills, Excellent logical reasoning skills, Excellent communication skills in written and oral English, Ability to converse in a professional and mature manner, Interest in e-Commerce/Online business", "qualificationsPreferred" : "Database management experience, Data analysis experience, SQL querying knowledge, Knowledge of basic Programming Languages, Python knowledge, VB knowledge, HTML knowledge, XML feeds knowledge, Ability to write macros in MS Excel, Macros aimed at improving processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon.com is looking for a smart, enthusiastic, hard-working, and creative candidate to join the Selection Validation team as a Product Compliance Associate Sr. This position offers an exciting introduction to the Amazon Marketplace and provides a training ground for success. You will be responsible for adhering to SOP and meeting the assigned goals. Our environment is fast-paced, and requires someone who is a self-starter, detail-oriented, analytical, and comfortable working with multiple teams, partners, and management. The candidate should have a track record of delivering results, experience processing large amount of data and report generation & management. The candidate should be able to resolve issues with minimal guidance. A Day in the life of a Sr Compliance Associate: You follow the SOP, feedback and guidance provided to ensure incoming requests are fulfilled with optimal productivity, assured quality, and within set SLAs. You support the team and organization in various projects. Key job responsibilities 1. Fulfil incoming requests following set Standard Operating Procedures (SOPs) and adhering to Service Level Agreements (SLAs). 2. Maintain defined quality standards. 3. Provide ideas, collaborate across internal teams and stakeholders for process improvement projects. 4. Be open to operating in rotational shifts (any 5 days in a week). Basic Qualifications: - Bachelor's degree (preferably in Engineering or Business) - 1 to 3 years of experience in data-driven business operations processes – Business Process Outsourcing, Operations processes - Advanced computer literacy in Microsoft Office applications, especially MS Excel - Attention to detail and capability to work on multiple processes - Desire to work in a fast-paced, challenging environment and passion for delivering great customer experience - Excellent analytical, problem solving and logical reasoning skills - Excellent communication skills in written and oral English with the ability to converse in a professional and mature manner - Interest in e-Commerce/Online business - Passion for innovation, automation and operational excellence Preferred Qualifications: - Database management and data analysis experience, including knowledge of SQL querying - Knowledge of basic Programming Languages like Python, VB, HTML, XML feeds - Ability to write macros in MS Excel aimed at improving processes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Product Compliance, Selection Validation - Listings at ADCI HYD 13 SEZ. Skills: Product Compliance, Selection Validation, Data Operations. Fulfil incoming requests following set Standard Operating Procedures. Adhere to Service Level Agreements", "postedDate" : "2026-06-13T06:19:15.563", "createdAt" : "2026-06-13T06:19:15.563", "lastUpdated" : "2026-06-15T03:50:18.242", "ingestTimestamp" : "2026-06-13T06:19:15.563", "mongoId" : "68b706967fc9a711f0f6f02b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051358/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data processing", "Report generation", "Report management", "Excel macros", "Analytical", "Problem solving", "Logical reasoning", "Product Compliance", "Selection Validation", "Data Operations", "Business operations", "Process improvement", "Amazon Marketplace", "e-Commerce", "Online business", "Microsoft Office", "MS Excel" ], "skillCount" : 18, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 632.891, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307f2df292fd229c055eab", "title" : "TPU Validation Manager", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Technology industry in Mountain View, United States, adjusted for seniority and company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:25:03.999", "fingerprint" : "dc38fed1568f0ecc0fb0c0d31d51f2de6f18c72876dba477122fee0ada51139d", "source" : "google", "language" : "en", "externalId" : "111045065232523974", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "experienceLevel" : "Manager", "summaryDescription" : "TPU Validation Manager", "postedDate" : "2026-06-16T01:51:41.201", "createdAt" : "2026-06-16T01:51:41.201", "lastUpdated" : "2026-06-16T12:25:03.999", "ingestTimestamp" : "2026-06-16T01:51:41.201", "mongoId" : "6a307f2df292fd229c055eab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 632.37024, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104422beec4dd3def2880", "title" : "Electrical Validation Engineer", "company" : "ADCI", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Electrical Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T04:27:18.374", "fingerprint" : "f7d1987474ebc4cfb49e250d4060a651f084e190428913a9faf71f23f69e2fab", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385968/apply", "externalId" : "0f2c818f-56c1-47b7-9777-4ab24574b2bd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Perl, Python, LP)DDR4/5, USB, CSI/DSI, HDMI, PCIe", "professionalSkills" : [ "Electrical validation", "Hardware designs", "Test suites", "Validation plans", "Lab measurements", "High Speed Characterization", "SOC level", "Product level", "Schematic design", "PCB physical design" ], "hardSkillsList" : [ "Electrical compliance test", "Serial I/O interfaces", "Signal integrity concepts", "Differential impedance", "Insertion loss", "Return loss", "Analog IP Characterization", "Equalization techniques", "Analog/Digital Circuits", "Semiconductor physics" ], "hardSkills" : [ { "name" : "Electrical compliance test", "level" : "intermediate" }, { "name" : "Serial I/O interfaces", "level" : "intermediate" }, { "name" : "Signal integrity concepts", "level" : "intermediate" }, { "name" : "Differential impedance", "level" : "intermediate" }, { "name" : "Insertion loss", "level" : "intermediate" }, { "name" : "Return loss", "level" : "intermediate" }, { "name" : "Analog IP Characterization", "level" : "intermediate" }, { "name" : "Equalization techniques", "level" : "intermediate" }, { "name" : "Analog/Digital Circuits", "level" : "intermediate" }, { "name" : "Semiconductor physics", "level" : "intermediate" } ], "majorSkills" : "Electrical Validation, High-speed interfaces, Signal integrity, Test methodologies", "majorSkillsList" : [ "Electrical Validation", "High-speed interfaces", "Signal integrity", "Test methodologies" ], "coreResponsibilities" : "Create electrical validation environment, Define electrical validation environment, Develop electrical validation environment, Create test suites, Define test suites, Develop test suites, Develop validation methodologies, Execute validation plans, Debug failures, Follow up to closure, Perform electrical compliance test, Conduct lab measurements, Work on high-speed serial I/O interfaces, Perform documentation, Communicate data, Drive initiatives to improve process, Drive initiatives to improve procedures, Drive initiatives to improve quality, Interpret design, Locate physical probe points", "teamCollaboration" : "Multi-disciplinary groups; Board Design; System Architects; IP developers; Software Engineering", "domainKnowledge" : "High-speed serial I/O; Power integrity; Signal integrity; Analog IP; SerDes; PLL; DDR; High-Speed Analog/Digital Circuits; VLSI; Semiconductor physics", "domainList" : [ "high-speed-serial-i-o", "power-integrity", "signal-integrity", "analog-ip", "serdes", "pll", "ddr", "high-speed-analog-digital-circuits", "vlsi", "semiconductor-physics" ], "domainSpecificKnowledge" : [ "High-speed serial I/O", "Power integrity", "Signal integrity", "Analog IP", "SerDes", "PLL", "DDR", "High-Speed Analog/Digital Circuits", "VLSI", "Semiconductor physics" ], "toolProficiency" : [ "High Bandwidth oscilloscopes", "BERT", "Logic analyzers", "Schematic tools", "PCB design tools" ], "communicationSkills" : "Communicate data", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Debug of failures", "qualificationsBasic" : "Bachelor's degree in Electrical or Communications Engineering, 5+ years of experience in Electrical Validation, High speed serial interface analog building blocks, protocol, specifications and test methods, Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers, Understanding of Power & signal integrity concepts, Good software architecture principles and development practices, PCB layout best practices", "qualificationsPreferred" : "Master's degree in Electrical or Communications Engineering, Experience with automation or working with scripting languages, Familiarity with Transmitter and Receiver design blocks, Understanding of equalization techniques, Good understanding of High-Speed Analog/Digital Circuits, VLSI, semiconductor physics, Experience in Analog IP Characterization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Electrical Validation Engineer, you will be part of Validation team that is exploring new hardware designs to improve our devices. In this role, you will create, define and develop electrical validation environment and test suites. You will also be responsible for the development of methodologies, execution of validation plans, debug of failures and follow up to closure. Key job responsibilities You will work closely with multi-disciplinary groups including Board Design, System Architects, IP developers, and Software Engineering, to verify and deliver complex, high volume SoCs that enable development of world-class hardware devices. In this role, you will: • Perform electrical compliance test specifications / compliance test suite for various interfaces and conduct lab measurements • Work on high-speed serial I/O interfaces like (LP)DDR4/5, USB, CSI/DSI, HDMI, PCIe interfaces etc. • Perform documentation and communicate data across large number of tests and measurement results • Drive initiatives to improve process, procedures, and quality of High Speed Characterization at SOC & Product level. • Work on schematic and PCB physical design tools to interpret the design and locate physical probe points. Basic Qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - Experience in Java/Perl/Python based automation - 5+ years of experience in Electrical Validation - High speed serial interface analog building blocks, protocol, specifications and test methods - Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers and understanding of probing techniques - Understanding of Power & signal integrity concepts such as differential impedance, jitter, insertion loss, return loss, termination, etc. - Good software architecture principles and development practices - PCB layout best practices Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Experience with automation or working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent - Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers and understanding of probing techniques - Understanding of Power & signal integrity concepts such as differential impedance, jitter, insertion loss, return loss, termination, etc. - Experience in Analog IP Characterization (SerDes, PLL, DDR) is desirable - Familiarity with Transmitter and Receiver design blocks. Understanding of equalization techniques (CTLE/DFE) - Good understanding of High-Speed Analog/Digital Circuits, VLSI, semiconductor physics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Electrical Validation Engineer at ADCI. Skills: Electrical Validation, High-speed interfaces, Signal integrity, Test methodologies. Create electrical validation environment. Define electrical validation environment", "postedDate" : "2026-06-13T12:46:56.928", "createdAt" : "2026-06-13T12:46:56.928", "lastUpdated" : "2026-06-15T04:27:18.374", "ingestTimestamp" : "2026-06-13T12:46:56.928", "mongoId" : "69e104422beec4dd3def2880", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385968/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Electrical compliance test", "Serial I/O interfaces", "Signal integrity concepts", "Differential impedance", "Insertion loss", "Return loss", "Analog IP Characterization", "Equalization techniques", "Analog/Digital Circuits", "Semiconductor physics", "Electrical Validation", "High-speed interfaces", "Signal integrity", "Test methodologies", "Electrical validation", "Hardware designs", "Test suites", "Validation plans", "Lab measurements", "High Speed Characterization", "SOC level", "Product level", "Schematic design", "PCB physical design", "High-speed serial I/O", "Power integrity", "Analog IP", "SerDes", "PLL", "DDR", "High-Speed Analog/Digital Circuits", "VLSI", "High Bandwidth oscilloscopes", "BERT", "Logic analyzers", "Schematic tools", "PCB design tools" ], "skillCount" : 37, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 630.3984, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660574d8ee00a062b8a2", "title" : "Principal Hardware Engineer, Amazon Industrial Robotics- Verification and Validation", "company" : "Amazon. com Services LLC", "industry" : "Hardware Development, subsidiaries", "salary" : { "min" : 163400.0, "max" : 221000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-14T23:44:41.146", "fingerprint" : "aa504dad21290cc340f6c3673c2ea02ba48b24bd39f8642e366c37b61f2d0640", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443738/apply", "externalId" : "3c24e0ac-bb5c-41ad-91ab-7b6bc351a0f4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "Principal", "technicalSkills" : "Robotics", "professionalSkills" : [ "Systems engineering", "System architecture", "Technical analysis", "Technology research" ], "hardSkillsList" : [ "Hardware verification", "Hardware validation", "Model-based simulation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Hardware verification", "level" : "intermediate" }, { "name" : "Hardware validation", "level" : "intermediate" }, { "name" : "Model-based simulation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Verification and validation, Robotics systems, Hardware architecture", "majorSkillsList" : [ "Verification and validation", "Robotics systems", "Hardware architecture" ], "coreResponsibilities" : "Develop V&V Plans, Create test plans, Verify hardware specifications, Verify functional requirements, Create test programs, Design test plans, Design test methods, Execute test plans, Generate test reports, Document test results, Design test fixtures, Construct test fixtures, Monitor test fixtures", "teamCollaboration" : "Internal robotics teams; Engineering leaders; Robotics organization", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Advanced robotics systems; Hardware validation systems", "domainList" : [ "advanced-robotics-systems", "hardware-validation-systems" ], "domainSpecificKnowledge" : [ "Advanced robotics systems", "Hardware validation systems" ], "documentationSkills" : "Test reports", "innovationCreativity" : "Next-generation systems; New technology development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "15+ years hardware engineering, Bachelor's degree engineering, Experience leading complex projects, Proven track record influencing leadership, Demonstrated ability design distributed systems", "qualificationsPreferred" : "M.S. in Engineering, Experience functional decomposition, Experience rapid prototyping, Experience agile testing methodologies, Technical publications and patents", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Industrial Robotics is seeking an exceptional Principal Hardware Engineer to own and architect our entire verification and validation capability for next-generation advanced robotics systems. You will establish Amazon's hardware verification and validation competency at unprecedented scale, serving as the technical authority and strategic owner for V&V frameworks, test infrastructure, and related hardware validation systems across our product line. You will build deep partnerships with internal robotics teams, architect our verification and validation infrastructure, and influence product design from concept through production deployment. You will partner with engineering leaders across the robotics organization, shape our product architecture, and define our verification and validation roadmap. Key job responsibilities Develop Verification and Validation (V&V) Plans: Work with mechanical and electrical engineering teams to create comprehensive test plans for components and systems. Hardware Requirements Verification: Verify that hardware meets defined specifications and functional requirements through targeted, value-based testing. Create Test Programs and Methods: Design test programs (Design Validation Testing and End-of-Line Testing), plans, and methods for subsystem verification tests and complete system V&V tests to support new technology and product development. Test Execution and Reporting: Execute test plans, generate test reports, and document results. Design Test Fixtures: Design, construct, and monitor specialized test fixtures for testing. Basic Qualifications: 15+ years in hardware engineering or related technical disciplines Bachelor's degree in engineering or related technical field Experience leading complex, multi-system projects from conception to delivery Proven track record of influencing senior leadership and driving technical decisions Demonstrated ability to design and implement large-scale distributed systems Preferred Qualifications: M.S. in Engineering or related technical field Experience in functional decomposition with ability to lead teams to perform model-based simulation engineering, systems engineering, system architecture requirements, technical analysis, and technology research Experience in rapid prototyping and agile testing methodologies applied to systems and automation Technical publications and patents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, N.Reading - 163,400.00 - 221,000.00 USD annually USA, WA, Seattle - 163,400.00 - 221,000.00 USD annually", "summaryDescription" : "Principal Hardware Engineer, Amazon Industrial Robotics- Verification and Validation at Amazon. com Services LLC. Skills: Verification and validation, Robotics systems, Hardware architecture. Develop V&V Plans. Create test plans", "postedDate" : "2026-06-13T07:09:58.536", "createdAt" : "2026-06-13T07:09:58.536", "lastUpdated" : "2026-06-14T23:44:41.146", "ingestTimestamp" : "2026-06-13T07:09:58.536", "mongoId" : "6a2a660574d8ee00a062b8a2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443738/apply", "salaryAnnualMin" : 163400, "salaryAnnualMax" : 221000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Hardware verification", "Hardware validation", "Model-based simulation", "Leadership", "Verification and validation", "Robotics systems", "Hardware architecture", "Systems engineering", "System architecture", "Technical analysis", "Technology research", "Roadmap planning", "Advanced robotics systems", "Hardware validation systems" ], "skillCount" : 14, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 628.1874, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69c94a879bc74574cbbb505b", "title" : "SoC Validation Engineer", "company" : "ADCI - BLR 14 SEZ", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level SoC Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T00:58:13.561", "fingerprint" : "80c124418394a5bc778c8a4577a5a4304d547adbad624faeee2dfca008c7b737", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3200046/apply", "externalId" : "9893796d-4524-4c14-908a-a3a2b9502e18", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SystemVerilog, UVM, Assembly, C, Perl, Python", "professionalSkills" : [ "SoC Validation", "Pre-silicon validation", "Post-silicon validation", "Test planning", "Test environments", "Emulation models", "Prototype models", "HW/SW interface", "Silicon bringup", "System debug", "Bare-metal programming" ], "hardSkillsList" : [ "Problem solving", "Debug", "Automation", "Programming", "Silicon bringup", "System debug", "Bare-metal programming" ], "hardSkills" : [ { "name" : "Problem solving", "level" : "intermediate" }, { "name" : "Debug", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Silicon bringup", "level" : "intermediate" }, { "name" : "System debug", "level" : "intermediate" }, { "name" : "Bare-metal programming", "level" : "intermediate" } ], "majorSkills" : "SoC Validation, Pre-silicon verification, Post-silicon validation, SystemVerilog/UVM", "majorSkillsList" : [ "SoC Validation", "Pre-silicon verification", "Post-silicon validation", "SystemVerilog/UVM" ], "coreResponsibilities" : "Enable pre-silicon validation, Enable post-silicon validation, Develop test plans, Execute test plans, Design test environments, Build emulation models, Build prototype models, Develop subsystem testplans, Create SoC Verification plan, Create Validation plan, Implement tests, Implement scenarios, Develop baremetal drivers, Configure SoC subsystems, Develop test benches, Develop transactors, Develop monitors, Develop infrastructure, Provide training, Provide failure debug support, Improve debug capabilities, Maximize platform utilization, Automate platform utilization, Resolve issues, Pioneer platform capabilities, Deploy platform capabilities, Continue pre-silicon efforts, Bring up early silicon, Port emulation testplans, Port prototyping testplans, Write tests, Write infrastructure, Ensure Performant compliance, Ensure Functional compliance", "teamCollaboration" : "Working with architects; Working with RTL designers; Working with SoC teams; Working with software teams", "domainKnowledge" : "SoC; ML accelerator; HW/SW interface; SOC fabrics; Memory controllers; SOC peripherals; Machine learning; Computer vision; Robotics", "domainList" : [ "soc", "ml-accelerator", "hw-sw-interface", "soc-fabrics", "memory-controllers", "soc-peripherals", "machine-learning", "computer-vision", "robotics" ], "domainSpecificKnowledge" : [ "SoC", "ML accelerator", "HW/SW interface", "SOC fabrics", "Memory controllers", "SOC peripherals", "Machine learning", "Computer vision", "Robotics" ], "toolProficiency" : [ "Zebu", "HAPs" ], "communicationSkills" : "Technical communication", "innovationCreativity" : "Innovate on behalf customers; Innovate on behalf customers", "problemSolvingSkills" : "Problem solving; Debug; Analysis; Automation", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, 4+ years experience pre-silicon verification, 4+ years experience post-silicon validation, Problem solving skills, Debug skills, Automation skills, Experience complex SOCs verification, Solid grasp HW/SW interface, Programming skills (assembly, C, Perl/Python), Firsthand experience silicon bringup, Firsthand experience complex system debug, Firsthand experience bare-metal programming", "qualificationsPreferred" : "Master's degree in Electrical or Communications Engineering, Experience full development cycle, Experience ARM, Experience various DSP ISA, Experience SOC fabrics, Experience memory controllers, Experience SOC peripherals, Experience machine learning, Experience computer vision, Experience robotics, Excellence technical communication", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for an SoC Emulation Engineer to continue to innovate on behalf of our customers. We are a part of Amazon Lab126 that revolutionized reading with our Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. As an SoC Validation Engineer, you will be responsible for enabling the pre-silicon and post-silicon validation verification of next generation SoCs on multiple platforms such as emulation, prototyping and early silicon. You will develop and execute test plans, design test environments and help build emulation and prototype models while working closely with architects, RTL designers, SoC and software development teams. In this role, you will: Develop/review subsystem testplans and help create the SoC Verification and Validation plan. Implement tests and scenarios on multiple platforms. Develop and deploy baremetal drivers to configure SoC subsystems Pre-silicon activities: Develop test benches, transactors and monitors to work with Emulation systems (ex. Zebu) and Prototyping systems (ex. HAPs) Develop infrastructure for build and runtime of SoC emulation and prototyping models using vendor tools and Providing training, failure debug support and improving debug capabilities Maximize efficient utilization of the platforms through automation and other innovations Debug and resolve issues, pioneer and deploy new platform capabilities Post-silicon activities: Continue pre-silicon efforts to seamlessly intersect and bring up early silicon Port emulation and prototyping testplans to post-silicon activities Write tests and infrastructure to ensure Performant and Functional compliance of Silicon Key job responsibilities As an SoC Validation Engineer, you will be responsible for enabling the pre-silicon and post-silicon validation verification of next generation SoCs on multiple platforms such as emulation, prototyping and early silicon. You will develop and execute test plans, design test environments and help build emulation and prototype models while working closely with architects, RTL designers, SoC and software development teams. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - 4+ years experience in pre-silicon verification using SystemVerilog/UVM - 4+ years’ experience in post-silicon validation - Very strong problem solving, debug and analysis, and automation skills - Experience with verification and validation of complex SOCs - Solid grasp of concepts of HW/SW interface - Strong programming skills (assembly, C, Perl/Python) - Firsthand experience with silicon bringup, complex system debug, or bare-metal programming. Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Experience in a full development cycle from pre-silicon verification to silicon bringup - Experience with ARM and various DSP ISA - Experience with SOC fabrics, memory controllers, and SOC peripherals - Experience with machine learning, computer vision or robotics - Excellence in technical communication with peers and non-technical cohorts Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "SoC Validation Engineer at ADCI - BLR 14 SEZ. Skills: SoC Validation, Pre-silicon verification, Post-silicon validation, SystemVerilog/UVM. Enable pre-silicon validation. Enable post-silicon validation", "postedDate" : "2026-06-13T10:16:18.882", "createdAt" : "2026-06-13T10:16:18.882", "lastUpdated" : "2026-06-15T00:58:13.561", "ingestTimestamp" : "2026-06-13T10:16:18.882", "mongoId" : "69c94a879bc74574cbbb505b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3200046/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Problem solving", "Debug", "Automation", "Programming", "Silicon bringup", "System debug", "Bare-metal programming", "SoC Validation", "Pre-silicon verification", "Post-silicon validation", "SystemVerilog/UVM", "Pre-silicon validation", "Test planning", "Test environments", "Emulation models", "Prototype models", "HW/SW interface", "SoC", "ML accelerator", "SOC fabrics", "Memory controllers", "SOC peripherals", "Machine learning", "Computer vision", "Robotics", "Zebu", "HAPs" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 627.8665, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307f08f292fd229c05496e", "title" : "Hardware Validation Engineer, Cloud Platforms", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Validation Engineer in Sunnyvale, United States, adjusted for the technology industry." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T12:54:16.904", "fingerprint" : "7ebc95f74d86a2dc7ee03958176c5b48f3804a96819a34736701aaf69b27b4bc", "source" : "google", "language" : "en", "externalId" : "77715221367399110", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "technicalSkills" : "Python, Perl, Tcl, PCIe, DDR, Ethernet, ASIC, FPGA, Linux", "professionalSkills" : [ "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Hardware validation", "Protocol analysis", "Scripting", "Lab equipment operation" ], "hardSkills" : [ { "name" : "Hardware validation", "level" : "intermediate" }, { "name" : "Protocol analysis", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Lab equipment operation", "level" : "intermediate" } ], "majorSkills" : "Hardware validation, Cloud platforms, Protocol analysis", "majorSkillsList" : [ "Hardware validation", "Cloud platforms", "Protocol analysis" ], "coreResponsibilities" : "Develop and execute hardware validation test plans, Design and implement validation test cases, Debug and root cause hardware failures, Collaborate with design and architecture teams, Document test results and validation reports, Bring up and validate new hardware platforms, Develop automation scripts for validation tasks, Analyze test results and provide feedback", "teamCollaboration" : "Design teams; Architecture teams", "domainKnowledge" : "Cloud platform hardware; PCIe protocol; DDR protocol; Ethernet protocol", "domainList" : [ "cloud-platform-hardware", "pcie-protocol", "ddr-protocol", "ethernet-protocol" ], "domainSpecificKnowledge" : [ "Cloud platform hardware", "PCIe protocol", "DDR protocol", "Ethernet protocol" ], "toolProficiency" : [ "Oscilloscopes", "Logic analyzers" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Validation reports", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering or Computer Science, 5+ years of experience in hardware validation, Experience with PCIe, DDR, or Ethernet protocols, Experience with scripting languages (e.g., Python, Perl, Tcl), Experience with lab equipment (e.g., oscilloscopes, logic analyzers)", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platform hardware, Experience with ASIC/FPGA design flows, Familiarity with Linux environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Hardware Validation Engineer, Cloud Platforms. Skills: Hardware validation, Cloud platforms, Protocol analysis. Develop and execute hardware validation test plans. Design and implement validation test cases", "postedDate" : "2026-06-16T01:50:50.202", "createdAt" : "2026-06-16T01:50:50.202", "lastUpdated" : "2026-06-16T12:54:16.904", "ingestTimestamp" : "2026-06-16T01:50:50.202", "mongoId" : "6a307f08f292fd229c05496e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Hardware validation", "Protocol analysis", "Scripting", "Lab equipment operation", "Cloud platforms", "Problem solving", "Analytical skills", "Cloud platform hardware", "PCIe protocol", "DDR protocol", "Ethernet protocol", "Oscilloscopes", "Logic analyzers" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 622.1645, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8f3174d8ee00a097db43", "title" : "Data Implementation Specialist", "company" : "Ellevation", "industry" : "Product Support", "salary" : { "min" : 50000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T22:46:58.919", "fingerprint" : "07d7b7a659a3bde9e0bf07253dc0dd8cf833e328401b8e83a2e22a8c01c2d2a2", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ellevationeducation/a29903fd-41a3-4fab-b9ab-b7211b23ce49/apply", "externalId" : "a29903fd-41a3-4fab-b9ab-b7211b23ce49", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, ETL, Data Warehousing, Data Visualization", "hardSkillsList" : [ "Data analysis", "Data modeling", "Database management" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" } ], "majorSkills" : "Data Implementation, SQL, Python", "majorSkillsList" : [ "Data Implementation", "SQL", "Python" ], "coreResponsibilities" : "Implement data solutions, Develop and maintain ETL processes, Build and optimize data models, Create and maintain data visualizations, Collaborate with stakeholders, Troubleshoot data issues, Document data processes", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data warehousing concepts; Data visualization principles; ETL processes", "domainList" : [ "data-warehousing-concepts", "data-visualization-principles", "etl-processes" ], "domainSpecificKnowledge" : [ "Data warehousing concepts", "Data visualization principles", "ETL processes" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "Dbt" ], "documentationSkills" : "Document data processes", "problemSolvingSkills" : "Troubleshoot data issues", "qualificationsBasic" : "Bachelor's degree, 3+ years experience, SQL proficiency", "qualificationsPreferred" : "Master's degree preferred, Experience with data warehousing concepts preferred, Experience with data visualization tools preferred, Experience with ETL processes preferred, Experience with cloud platforms preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description The Data Acquisition Specialist is a core member of Ellevation’s Data Integration team, responsible for configuring and maintaining reliable data connections from district Student Information Systems (SIS), assessment vendors, and other sources. You work directly with district partners via calls and screen shares to build data extracts that power Ellevation’s products — and you take ownership of that work from setup through ongoing monitoring. You bring a general working knowledge of SIS platforms and are growing your expertise across the K–12 data ecosystem. You’re someone who takes responsibility for your tasks with little day-to-day oversight, escalates thoughtfully when surprises arise, and consistently delivers high-quality outputs. You build collaborative relationships with teammates and show up with a service-oriented mindset for the districts you support. ## What you'll do Partner collaboration & data onboarding Partner with district teams via calls and screen shares to configure data extracts from SIS platforms (e.g., student demographics, staff, schedules, assessment results). Configure data connections with vendor partners, including SSO setup for new partners. Communicate data issues clearly to district contacts, asking the right questions to gather the information needed to resolve them. Guide partners through the data sourcing process, helping them understand what’s needed and why. Data quality & validation Confirm that data extracts meet quality standards before handoff to the Partner Success Team, validating file headers, record counts, and that important values are not missing. Conduct basic data analysis on incoming data to identify issues early. Use team-defined processes for raising questions and issues (e.g., Slack channels, team meetings, Jira). Monitoring & support Monitor incoming data jobs to proactively diagnose and respond to failures. Respond to Jira tickets, taking a first attempt at diagnosing issues before escalating. Escalate appropriately when issues involve unexpected complexity, delays, or require management or leadership input. Documentation & process Document new discoveries and processes related to extracting data from SIS platforms, contributing to team playbooks. Ask thoughtful questions of teammates and leadership to deepen your knowledge of the SIS and vendor ecosystem. Respond to change with optimism and flexibility, quickly recalibrating when priorities shift. ## What we’re looking for 1–3 years of experience in a customer-facing technical role: data onboarding, technical support, solutions engineering, or similar. Strongly preferred: SIS knowledge - Working knowledge of Student Information Systems — you understand how to navigate these systems and extract data from them. Strongly preferred: K–12 education experience is a strong plus — you understand how districts operate and how student data connects to learning outcomes. Comfort with basic data analysis — validating file structure, checking record completeness, and spotting issues in incoming data. SQL familiarity preferred; willingness to develop SQL skills on the job is equally valued. Strong verbal and written communication skills, including the ability to explain technical concepts to non-technical district contacts. Detail-oriented and dependable — you follow through on commitments, manage your time well, and escalate proactively when something unexpected comes up. Collaborative and service-oriented — you share information openly, ask clarifying questions, and approach teamwork inclusively. ## Why this role matters Ellevation serves multilingual learners across thousands of districts. The data you configure and validate is the foundation for everything educators see in the product, from student rosters to assessment results to progress monitoring. Reliable data means educators can focus on students, not troubleshooting. Your work directly enables that. ## Success in this role Within 1 month Onboarded and learned how Ellevation’s products use external data. Understood the basics of how we receive data from SIS platforms and vendor partners. Joined partner calls alongside your manager or a teammate. Within 3 months Working with district partners independently to configure data extracts and resolve data issues. Contributing to internal playbooks on SIS data extraction. Applying team data quality standards when reviewing and handing off incoming data. Within 6 months Managing a portfolio of partner onboardings and ongoing data jobs with confidence. Proactively monitoring data pipelines and responding to failures before they escalate. Identifying and documenting new SIS patterns or edge cases to help the broader team. Within 12 months Developed solid proficiency across the most common SIS platforms and data extraction workflows. Established as a trusted, credible contributor within the Data Acquisition team. Actively contributing to improving team processes and documentation. ## Additional Information Are you passionate about growth and eager to learn? Do you possess a drive to excel and make a difference? Ellevation values diversity, creativity, and a hunger for new perspectives. While our job postings outline preferred qualifications, we believe that talent comes in various forms. If you're motivated, adaptable, and ready to contribute, we encourage you to apply. We welcome candidates from all backgrounds and experiences, recognizing that unique skills and fresh outlooks are invaluable assets to our team. Don't let a checklist of requirements deter you – take the leap, and let's explore the possibilities together! About Us: At Ellevation, we develop world-class software to help educators serve the fastest growing population of K-12 students: English Learners (ELs). Ellevation helps school districts transform their Multilingual Learner programs and ensure all students can achieve their highest aspirations. Our product suite includes a best-in-class data and instructional planning platform, resources to build teacher capacity, and student-facing programs to teach academic language. We are a fast-growing, mission-driven technology company partnering with over 1,500 school districts and more than 2 million current and former English Learners. Over the next five years, we plan to double the number of ELs we serve and drive measurable outcomes for students. Ellevation merged with Curriculum Associates in 2021 to accelerate impact for Multilingual Learners. Our company continues to operate independently and is well-capitalized to support our ambitious social and financial objectives. Why Ellevation? In addition to our great benefits and competitive salaries, here are some things that make us unique: + Mission-driven organization where team members are empowered to make a significant impact + Opportunities to join Employee Resource Groups and support building a culture of belonging + Professional development and growth opportunities + Company and team offsites in various cities across the United States + Collaborative workspace in the heart of Boston - a stone's throw from many central T stops (Downtown Crossing, Government Center, and Aquarium). Free snacks, beverages, and local organic fruit provided + Remote and in-person engagement opportunities, including happy hours, themed events, and competitions + Remote and in-person wellness programming to support team’s mental and physical wellbeing Learn more about our team in our Culture Deck. Here at Ellevation, we champion diversity, inclusion, equity, and belonging. We strive to build a team that reflects the diverse communities we serve. We are committed to creating an inclusive workplace that promotes and values a range of ideas and opinions. We believe in building a culture where productivity can flourish, one that is empathetic, respectful, and inclusive. We are proud to have been recognized in prior years as “Best Tech Workplace for Diversity” by the Timmy Awards for investing in training around inclusive behaviors, microaggressions, unconscious bias, and fostering a culture of continuous learning and feedback across the company. We are encouraged by our progress, but there’s more work to be done. Benefits – Benefits eligible employees (and qualifying dependents) are covered by medical, dental, vision, and basic life insurance. Employees can enroll in our company's 401(k) retirement plan and receive an employer match up to 50% on the first 7% of your contribution, with pre-tax and Roth options. Employees have access to flexible paid time off for vacations, sick and disability policy, additional 10 paid company holidays, 2 floating holidays and a winter office closure between Christmas and New Year's. In addition, we provide a generous parental leave benefit, back-up childcare or eldercare, and a variety of other perks to support the health and well-being of our employees. Additional Information: Ellevation operates under Curriculum Associates, LLC, an Equal Opportunity Employer. Curriculum Associates, LLC will not discriminate against any employee or applicant for employment because of race, color, creed, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other category protected by law. Curriculum Associates, LLC will grant employment, without regard to race, color, creed, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other category protected by law. Such action shall include, but not be limited to, the following: employment, upgrading, demotion, transfer, recruitment or recruitment advertising, layoff or termination, rates of pay or other forms of compensation. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.uscis.gov/e-verify. Information that you provide when applying for employment with Curriculum Associates, LLC may be subject to the California Privacy Rights Act. Click here for more information about our data-collection practices and your rights related to that data. #LI-REMOTE", "summaryDescription" : "Data Implementation Specialist at Ellevation. Skills: Data Implementation, SQL, Python. Implement data solutions. Develop and maintain ETL processes", "postedDate" : "2026-06-11T20:44:22.442", "createdAt" : "2026-06-11T20:44:22.442", "lastUpdated" : "2026-06-15T22:46:58.919", "ingestTimestamp" : "2026-06-14T22:02:47.932", "mongoId" : "6a2c8f3174d8ee00a097db43", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Database management", "Data Implementation", "SQL", "Python", "Data warehousing concepts", "Data visualization principles", "ETL processes", "Tableau", "Power BI", "Snowflake", "Dbt" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 621.25073, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a5b74d8ee00a090b73c", "title" : "Monitoring Engineer", "company" : "Adyen", "industry" : "FinTech", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Monitoring Engineer in San Francisco, United States, with adjustments for the FinTech industry and company size." }, "location" : "San Francisco", "locations" : [ "San Francisco" ], "timestamp" : "2026-06-15T05:04:15.823", "fingerprint" : "d60a694950d610340bd91fa874b11e5bf7f8f280b1f09df5cd333e0b37bbc7ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adyen/jobs/7939051", "externalId" : "7939051", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H we do not offer remote-only roles.", "summaryDescription" : "Monitoring Engineer at Adyen", "postedDate" : "2026-06-14T08:03:17.296", "createdAt" : "2026-06-14T08:03:17.296", "lastUpdated" : "2026-06-15T05:04:15.823", "ingestTimestamp" : "2026-06-14T08:03:17.296", "mongoId" : "6a2c6a5b74d8ee00a090b73c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 619.29333, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ac4da74d8ee00a06ff6ec", "title" : "Senior Data Analyst, Transaction Monitoring & Fraud", "company" : "Mews", "industry" : "Hospitality", "salary" : { "min" : 716500.0, "max" : 927000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : false }, "location" : "Czechia", "locations" : [ "Czechia", "Spain", "United Kingdom" ], "timestamp" : "2026-06-14T23:58:23.306", "fingerprint" : "601869a89ee9c7dac7cb9db922171d355767c4daeae00df01d48a940fc1b7bd5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.mews.com/en/careers/jobs/4890103101?gh_jid=4890103101", "externalId" : "4890103101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Czech Republic", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Czech Republic", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Fraud detection", "Transaction monitoring", "Risk assessment", "Rule improvement", "Data analysis" ], "hardSkillsList" : [ "Data analysis", "Pattern identification", "Risk signal identification" ], "softSkillsList" : [ "Curious", "Problem solving" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Pattern identification", "level" : "intermediate" }, { "name" : "Risk signal identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem solving" } ], "majorSkills" : "Fraud detection, Transaction monitoring, Data analysis", "majorSkillsList" : [ "Fraud detection", "Transaction monitoring", "Data analysis" ], "coreResponsibilities" : "Analyse transaction monitoring and fraud rule performance, Identify gaps, inefficiencies, and opportunities to improve detection, Investigate trends, anomalies, and behavioural patterns, Improve case prioritization by risk, Reduce manual review volumes, Increase focus on high-risk activity, Partner closely with FinCrime, Product, Compliance, and Data, Improve controls, Bring in new data sources, Work with data engineers and technical teams, Support better pipelines, Support data quality checks, Support more reliable monitoring inputs, Support development of internal scoring approaches, Support future machine learning use cases, Translate complex analysis into clear recommendations, Improve fraud prevention, Minimise friction for legitimate customers", "teamCollaboration" : "Cross-functionally with operational, technical, and compliance stakeholders; With data engineers; With technical teams; With FinCrime; With Product; With Compliance; With Data teams", "domainKnowledge" : "Fintech; Fraud; Transaction monitoring", "domainList" : [ "fintech", "fraud", "transaction-monitoring" ], "domainSpecificKnowledge" : [ "Fintech", "Fraud", "Transaction monitoring" ], "communicationSkills" : "Clear recommendations", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Improve fraud detection; Reduce false positives; Help team focus on cases that matter most; Improve outcomes", "qualificationsBasic" : "Experience in fraud detection or transaction monitoring analytics, Advanced SQL skills, Python skills, Experience working with large datasets to identify patterns, outliers, and risk signals, Ability to move from analysis to action, Confidence working cross-functionally with operational, technical, and compliance stakeholders", "qualificationsPreferred" : "Fintech payments experience, Buy now pay later experience, E-commerce experience, Transaction monitoring or fraud solution provider experience", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "\uD83C\uDF0D Can you help us change the world? It’s true. At Mews, we dream big. As a Hotel Tech unicorn valued at $2.5b, we’re propelling new-generation cloud technology within global hospitality. With our industry-leading property management solution, we’re enabling the world’s most revolutionary hospitality brands to accelerate their digital transformation. We’re on the lookout for ambitious, tenacious and passionate people who want to join the next generation of innovators and disrupt the hospitality industry with us. Sound good so far? Keep reading and tumble down the Mews rabbit hole... \uD83D\uDC07 \uD83E\uDDD1\uD83C\uDFFB‍\uD83D\uDCBB About the role First things first: you want to know what you’re actually applying for. It’s impossible to capture every nuance of a role – especially at a rapidly growing company like Mews – but if we had to distill it down to a job description (which we do because this is a job description), it would be this: Mews is looking for a Senior Transaction Monitoring Fraud Data Analyst to join our FinCrime team within Fintech. This is a high-impact role for someone who can use data to improve fraud detection, reduce false positives, and help the team focus on the cases that matter most. You’ll work at the intersection of fraud operations, analytics, and product, using SQL, Python, and strong problem solving to identify patterns, improve rules, and support better decision making. We’re looking for someone who is hands-on, curious, and comfortable working in a fast-moving environment where not everything is perfectly defined. This is not a reporting role. We need someone who can dig into the data, spot what is going wrong, and recommend practical actions that improve outcomes. ✅ Your mission, should you choose to accept it: Analyse transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detection Investigate trends, anomalies, and behavioural patterns across transactions, properties, and customer activity Help improve how we prioritise cases by risk, with the goal of reducing manual review volumes and increasing focus on high-risk activity Partner closely with FinCrime, Product, Compliance, and Data teams to improve controls and bring in new data sources Work with data engineers and other technical teams to support better pipelines, data quality checks, and more reliable monitoring inputs Support the development of internal scoring approaches and future machine learning use cases as the function evolves Translate complex analysis into clear recommendations that improve fraud prevention while minimising friction for legitimate customers ✅ Your mission, should you choose to accept it: Own and run the ERM framework and risk appetite for Mews FS, including risk assessments, stress testing and Board reporting. Provide independent risk oversight on new products, major changes and strategic initiatives, and act as a key contact for DNB and other regulators on risk matters. Design and maintain a fit-for-purpose internal control framework and key controls across payments, safeguarding, liquidity, ICT, outsourcing and incident management. Lead risk-based testing, monitoring and follow-up on incidents, control weaknesses and audit findings. Provide pragmatic, business-oriented risk advice that keeps us compliant while enabling product and commercial teams to ship at pace. Build a strong risk culture through training, guidance and clear, plain-language communication across the organisation. \uD83E\uDD1D️ You’ll be a great fit if you bring a few of the below with you: Must-have experience Strong experience in fraud detection or transaction monitoring analytics Proven ability to improve rules, controls, or detection logic using data Advanced SQL skills Strong Python skills Experience working with large datasets to identify patterns, outliers, and risk signals Ability to move from analysis to action, not just reporting findings Confidence working cross-functionally with operational, technical, and compliance stakeholders We’d be especially interested in candidates from: fintech payments buy now pay later e-commerce transaction monitoring or fraud solution providers Location A = UK Location B = Spain Location C = Czechia Pay Transparency at Mews Salary ranges are provided in good faith and reflect current market conditions and internal pay structures. Final compensation may be adjusted based on funding, budget constraints, or exceptional candidate qualifications, but will remain within reasonable proximity to the stated range. This salary disclosure is provided in compliance with applicable pay transparency legislation. We are committed to equal pay practices and prohibit salary history inquiries during our recruitment process. If the location you're applying from wasn't originally advertised for this role, salary range information is available upon request at any point during the application/interview process - your recruiter will be able to help. Pay range location A £45,000—£59,500 GBP Pay range location B €41.500—€54.100 EUR Pay range location C 716 500 Kč—927 000 Kč CZK \uD83C\uDF89 What's in it for you? Did you know Mews was named Best PMS of 2025 - for the second year in a row - and twice recognized as a Best Place to Work in Hotel Tech? That success is powered by our incredible people and supported by the benefits that help them thrive. \uD83C\uDF0D Global benefits No matter where you’re based, you’ll enjoy: Participation in our company share program Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year) Unlimited paid holiday (yes, really) Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy. Relocation options available after 1 year Monthly \"EDGE\" time - dedicated to Explore, Develop, Grow, and Elevate yourself Flexible, hybrid working options One-off home office setup budget to make your workspace your own Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available) \uD83D\uDCCD Local benefits We also tailor benefits to each location - from regional healthcare coverage to team events, socials, and other perks that make Mews life special wherever you are. Because at Mews, growth, balance, and belonging aren't just words, they're how we work. \uD83E\uDD37\uD83C\uDFFB Who is Mews? We want to get to know you, so it’s only fair we tell you a little bit about ourselves first. Mews has been transforming hospitality since 2012. What began in a single hotel in Prague now powers thousands of hotels around the world, as they pursue their mission to develop transformational solutions for brands and create remarkable experiences for guests. Since the beginning, Mews embraced being different. Mews is not simply a property management system, but a connected hospitality cloud with products across the hotel ecosystem and more integrations than anyone else. From global hospitality brands to independent properties, hoteliers join Mews because they recognize the power of innovation. They understand that they can benefit from hotel tech that drives efficiency, maximizes revenue, and improves guest happiness. Powering over 5,000 customers across more than 85 countries, Mews Hospitality Cloud is designed to streamline operations for modern hoteliers, transform the guest experience and create more profitable businesses. Ranked 24th in the FT 1000 list of the fastest-growing European companies in 2021, Mews has been recognized as the Best PMS by industry peers at the HotelTechAwards in both 2020 and 2024, consistently earning acclaim. Mews also achieved finalist status in 2021 and 2022. What's more, we take immense pride in being listed among the Best Places to Work in Hotel Tech during those same years and again this year. But our achievements don't stop there; Mews was also listed among the World's Best Hotel PMS Provider 2023 and as the World's Best Independent Hotel PMS Provider 2022 and 2023 by the World Travel Tech Awards. \uD83D\uDCAD Life at Mews That’s what we do, but what about who we are? Mews’ culture is special and difficult to capture in words, which makes writing this tricky. You'll experience the freedom to be yourself and the ability to watch your ideas come to life. You’ll have an open line of communication and an open invitation to after-work drinks, be they virtual or in-person. Sometimes the work can be challenging and there can be a lot of it, but you’ll always be able to rely on those around you. Yes, we’re ambitious and we move fast, but we know the value of fun and taking a breather. We have slack channels for almost every interest imaginable, and an all-company meeting every Friday gives you the chance to ask any question to our leadership team. If our mission, values and Life at Mews sound like your kind of place, we’d love to hear from you! Everyone is welcome at Mews We’re an equal opportunities employer. To reimagine the art of hospitality, we need teams that represent our global and diverse customers and users. Our differences make Mews, so we welcome people of all backgrounds and identities to work with us. We embrace different perspectives, encourage trying new things and want everyone to feel safe bringing their authentic self to work. If this sounds like you and you’re ready to join a global, innovative and exciting community, we’d love to hear from you. One very important note: don’t hold back. Even if you don’t meet 100% of the criteria listed in this job description, we still encourage you to apply. We believe everyone should have equal access to opportunities and we’re committed to providing an inclusive experience, so please let us know if there’s anything we can do to support you during the application process. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic. We can’t wait to hear from you. \uD83E\uDD16 AI and Hiring at Mews At Mews, we believe AI enhances our work but should not replace what humanises it and makes it individually ours. We see AI as a tool to support research, generate ideas, and drive efficiency, but creativity, critical thinking, and opinions differentiate us. As you apply, feel free to use AI to help structure your thoughts — but ensure your application and conversations with us, reflect your personal opinions, capabilities and experience. We’re building an AI-enabled workforce, and that starts with people who think independently and bring fresh ideas to the table. Because at Mews, making work more human is the ultimate goal.", "summaryDescription" : "Senior Data Analyst, Transaction Monitoring & Fraud at Mews. Skills: Fraud detection, Transaction monitoring, Data analysis. Analyse transaction monitoring and fraud rule performance. Identify gaps, inefficiencies, and opportunities to improve detection", "postedDate" : "2026-06-12T00:59:30.142", "createdAt" : "2026-06-12T00:59:30.142", "lastUpdated" : "2026-06-14T23:58:23.306", "ingestTimestamp" : "2026-06-12T00:59:30.142", "mongoId" : "6a2ac4da74d8ee00a06ff6ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Pattern identification", "Risk signal identification", "Curious", "Problem solving", "Fraud detection", "Transaction monitoring", "Risk assessment", "Rule improvement", "Fintech", "Fraud" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "gtm-fintech", "dataQualityScore" : 0.8888889, "_score" : 618.89667, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Hospitality" }, { "id" : "69fa31584c40e2acd15a9214", "title" : "Electrical Validation Engineer", "company" : "ADCI", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Electrical Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:58:25.675", "fingerprint" : "499b4481ff8a1249f875f0a0138927e372463aee7f4e27f255bc2eb1c78f1f6e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411576/apply", "externalId" : "2bb9acef-41e9-4228-9ac1-379f803a8069", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LP DDR4/5, USB, CSI/DSI, HDMI, PCIe", "professionalSkills" : [ "Electrical validation", "Test suites", "Validation plans", "Lab measurements", "High Speed Characterization", "Analog IP Characterization", "Equalization techniques" ], "hardSkillsList" : [ "Differential impedance", "Jitter", "Insertion loss", "Return loss", "Termination", "CTLE/DFE" ], "hardSkills" : [ { "name" : "Differential impedance", "level" : "intermediate" }, { "name" : "Jitter", "level" : "intermediate" }, { "name" : "Insertion loss", "level" : "intermediate" }, { "name" : "Return loss", "level" : "intermediate" }, { "name" : "Termination", "level" : "intermediate" }, { "name" : "CTLE/DFE", "level" : "intermediate" } ], "majorSkills" : "Electrical Validation, High-speed interfaces, Signal integrity", "majorSkillsList" : [ "Electrical Validation", "High-speed interfaces", "Signal integrity" ], "coreResponsibilities" : "Create electrical validation environment, Define electrical validation environment, Develop electrical validation environment, Create test suites, Define test suites, Develop test suites, Develop methodologies, Execute validation plans, Debug failures, Follow up to closure, Perform electrical compliance test, Conduct lab measurements, Work on high-speed serial I/O interfaces, Perform documentation, Communicate data, Drive initiatives to improve process, Drive initiatives to improve procedures, Drive initiatives to improve quality, Interpret design, Locate physical probe points", "teamCollaboration" : "Multi-disciplinary groups; Board Design; System Architects; IP developers; Software Engineering", "domainKnowledge" : "Power & signal integrity; High-Speed Analog/Digital Circuits; VLSI; Semiconductor physics; SerDes; PLL; DDR", "domainList" : [ "power-signal-integrity", "high-speed-analog-digital-circuits", "vlsi", "semiconductor-physics", "serdes", "pll", "ddr" ], "domainSpecificKnowledge" : [ "Power & signal integrity", "High-Speed Analog/Digital Circuits", "VLSI", "Semiconductor physics", "SerDes", "PLL", "DDR" ], "toolProficiency" : [ "High Bandwidth oscilloscopes", "BERT", "Logic analyzers", "Schematic tools" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Debug of failures", "qualificationsBasic" : "Bachelor's degree in Electrical or Communications Engineering, 5+ years of experience in Electrical Validation, High speed serial interface analog building blocks, protocol, specifications and test methods, Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers, Understanding of probing techniques, Understanding of Power & signal integrity concepts, Good software architecture principles and development practices, PCB layout best practices", "qualificationsPreferred" : "Master's degree in Electrical or Communications Engineering, Experience in Analog IP Characterization, Familiarity with Transmitter and Receiver design blocks, Understanding of equalization techniques, Good understanding of High-Speed Analog/Digital Circuits, VLSI, semiconductor physics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Electrical Validation Engineer, you will be part of Validation team that is exploring new hardware designs to improve our devices. In this role, you will create, define and develop electrical validation environment and test suites. You will also be responsible for the development of methodologies, execution of validation plans, debug of failures and follow up to closure. Key job responsibilities You will work closely with multi-disciplinary groups including Board Design, System Architects, IP developers, and Software Engineering, to verify and deliver complex, high volume SoCs that enable development of world-class hardware devices. In this role, you will: • Perform electrical compliance test specifications / compliance test suite for various interfaces and conduct lab measurements • Work on high-speed serial I/O interfaces like (LP)DDR4/5, USB, CSI/DSI, HDMI, PCIe interfaces etc. • Perform documentation and communicate data across large number of tests and measurement results • Drive initiatives to improve process, procedures, and quality of High Speed Characterization at SOC & Product level. • Work on schematic and PCB physical design tools to interpret the design and locate physical probe points. Basic Qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - 5+ years of experience in Electrical Validation - High speed serial interface analog building blocks, protocol, specifications and test methods - Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers and understanding of probing techniques - Understanding of Power & signal integrity concepts such as differential impedance, jitter, insertion loss, return loss, termination, etc. - Good software architecture principles and development practices - PCB layout best practices Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Proficiency in handling High Bandwidth oscilloscopes, BERT, logic analyzers and understanding of probing techniques - Understanding of Power & signal integrity concepts such as differential impedance, jitter, insertion loss, return loss, termination, etc. - Experience in Analog IP Characterization (SerDes, PLL, DDR) is desirable - Familiarity with Transmitter and Receiver design blocks. Understanding of equalization techniques (CTLE/DFE) - Good understanding of High-Speed Analog/Digital Circuits, VLSI, semiconductor physics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Electrical Validation Engineer at ADCI. Skills: Electrical Validation, High-speed interfaces, Signal integrity. Create electrical validation environment. Define electrical validation environment", "postedDate" : "2026-06-13T03:13:16.938", "createdAt" : "2026-06-13T03:13:16.938", "lastUpdated" : "2026-06-15T01:58:25.675", "ingestTimestamp" : "2026-06-13T03:13:16.938", "mongoId" : "69fa31584c40e2acd15a9214", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411576/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Differential impedance", "Jitter", "Insertion loss", "Return loss", "Termination", "CTLE/DFE", "Electrical Validation", "High-speed interfaces", "Signal integrity", "Electrical validation", "Test suites", "Validation plans", "Lab measurements", "High Speed Characterization", "Analog IP Characterization", "Equalization techniques", "Power & signal integrity", "High-Speed Analog/Digital Circuits", "VLSI", "Semiconductor physics", "SerDes", "PLL", "DDR", "High Bandwidth oscilloscopes", "BERT", "Logic analyzers", "Schematic tools" ], "skillCount" : 27, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 615.9152, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305f8bf292fd229cf7de69", "title" : "Renewables Data Researcher Intern", "company" : "Unison", "industry" : "Europe", "salary" : { "min" : 12000.0, "max" : 18000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Milan, Italy, adjusted for the climate tech industry." }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-16T11:05:09.037", "fingerprint" : "6b5b202ac7f746fd75f9b07b53db2000dfef5368b54d13c65d6b73ac4d335688", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/unisoninfra/3f44c0b4-a7f9-4002-b49d-f3844f51dd23/apply", "externalId" : "3f44c0b4-a7f9-4002-b49d-f3844f51dd23", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Data quality management", "Data management" ], "hardSkillsList" : [ "Data entry" ], "hardSkills" : [ { "name" : "Data entry", "level" : "intermediate" } ], "majorSkills" : "Renewable energy, Data acquisition, Data validation", "majorSkillsList" : [ "Renewable energy", "Data acquisition", "Data validation" ], "coreResponsibilities" : "Enter data, Manage data quality, Research renewable energy information, Validate renewable energy information, Validate project details, Validate stakeholder details, Update internal datasets, Update tracking systems", "domainKnowledge" : "Renewable energy sector; Solar energy; Wind energy; Biogas energy; Infrastructure projects; Energy projects", "domainList" : [ "renewable-energy-sector", "solar-energy", "wind-energy", "biogas-energy", "infrastructure-projects", "energy-projects" ], "domainSpecificKnowledge" : [ "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "qualificationsBasic" : "Basic knowledge of energy projects, Basic knowledge of infrastructure projects, Basic knowledge of planning processes, Basic knowledge of permitting processes", "qualificationsPreferred" : "Solid understanding of renewable energy technologies, Good knowledge of solar technologies, Good knowledge of wind technologies, Good knowledge of biogas technologies, Good knowledge of related infrastructure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Unison is a telecom and renewables infrastructure investment firm funded in partnership with Ardian - the global investment house based in Paris with over $150 billion in assets under management. Unison commenced operations in 2003 and today invests in real estate and infrastructure hosting wireless and renewables tenants in the United States and Europe. The Company is expanding rapidly and looking for talented, entrepreneurial team members to grow with us. English Version We are looking for a motivated and detail-oriented Intern to join our team in Milan, supporting our data acquisition and optimisation activities within the renewable energy sector. This is an excellent opportunity for someone with a strong interest and foundational knowledge in renewable energy to gain hands-on experience working with real project data across Europe. Key Responsibilities Data entry and ongoing data quality management Research and validation of renewable energy project information Telephone-based validation of project and stakeholder details Support updates to internal datasets and tracking systems Ideal Profile Solid understanding of renewable energy technologies, including solar, wind, biogas, and related infrastructure Basic knowledge of how energy or infrastructure projects are structured, including planning and permitting processes Strong attention to detail and confidence working with data Comfortable conducting research and phone-based validation work Location Milan, Italy What We Offer Hands-on experience in a fast-growing renewable energy environment Exposure to large-scale infrastructure data and market analysis Opportunity to develop research and data management skills in a professional setting Versione Italiana Stiamo cercando un/una tirocinante motivato/a e orientato/a ai dettagli da inserire nel nostro team a Milano, a supporto delle attività di acquisizione e ottimizzazione dei dati nel settore delle energie rinnovabili. Questa rappresenta un’eccellente opportunità per candidati con forte interesse e conoscenze di base nel settore delle energie rinnovabili, per acquisire esperienza pratica lavorando con dati reali relativi a progetti in tutta Europa. Responsabilità principali Inserimento dati e gestione continua della qualità dei dati Ricerca e validazione di informazioni su progetti di energia rinnovabile Attività di validazione telefonica di dati relativi a progetti e stakeholder Supporto nell’aggiornamento di database interni e sistemi di monitoraggio Profilo ideale Buona conoscenza delle tecnologie legate alle energie rinnovabili, tra cui solare, eolico, biogas e infrastrutture correlate Conoscenza di base della struttura dei progetti energetici o infrastrutturali, inclusi i processi di pianificazione e autorizzazione Elevata attenzione ai dettagli e dimestichezza nell’utilizzo e gestione dei dati Disponibilità a svolgere attività di ricerca e validazione telefonica Sede Milano, Italia Cosa offriamo Esperienza pratica in un contesto dinamico e in forte crescita nel settore delle energie rinnovabili Esposizione a dati su infrastrutture su larga scala e analisi di mercato Opportunità di sviluppare competenze di ricerca e gestione dei dati in un contesto professionale", "summaryDescription" : "Renewables Data Researcher Intern at Unison. Skills: Renewable energy, Data acquisition, Data validation. Enter data. Manage data quality", "postedDate" : "2026-06-15T12:28:47.281", "createdAt" : "2026-06-15T12:28:47.281", "lastUpdated" : "2026-06-16T11:05:09.037", "ingestTimestamp" : "2026-06-16T03:22:19.700", "mongoId" : "6a305f8bf292fd229cf7de69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data entry", "Renewable energy", "Data acquisition", "Data validation", "Data quality management", "Data management", "Renewable energy sector", "Solar energy", "Wind energy", "Biogas energy", "Infrastructure projects", "Energy projects" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 615.49054, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3092acf292fd229c0c3af5", "title" : "Principal Engineer, Product Design Validation", "company" : "Sandisk", "industry" : "Semiconductors", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Principal Engineer, Product Design Validation in Shanghai, China, adjusted for lead seniority and the technology industry." }, "location" : "Shanghai, Shanghai, CN", "locations" : [ "Shanghai", "Shanghai", "CN" ], "timestamp" : "2026-06-16T15:27:30.070", "fingerprint" : "29b53418c93ee0a190058211cb4048aa9c4828e1f034f435b12c841d47994a5f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sandisk/744000132103359-principal-engineer-product-design-validation", "externalId" : "744000132103359", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "state" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2323437,121.4691024" } ], "locationText" : "Shanghai, Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "BS/MS degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "C++, C, Logic, Analog, Memory", "professionalSkills" : [ "Circuit debug", "Mask judge", "Test development", "Data analysis", "Report generation" ], "hardSkillsList" : [ "ATE programming", "Scripting" ], "hardSkills" : [ { "name" : "ATE programming", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "majorSkills" : "Product design validation, 3D NAND validation, ATE platforms", "majorSkillsList" : [ "Product design validation", "3D NAND validation", "ATE platforms" ], "coreResponsibilities" : "Work with global design teams, Perform post silicon design validation, Debug circuit issues, Characterize circuits, Judge masks, Perform 3D NAND trim validation, Develop test programs, Implement tests for NAND memory, Debug tests, Validate tests, Control revisions, Improve test methods, Design tests, Assess 3D NAND memory, Develop software tools, Speed up development, Analyze data, Generate reports, Organize discussions, Create silicon evaluation plan, Secure project schedule, Support project decision making, Customize test coverage, Define new test strategy", "teamCollaboration" : "Global design teams; Relevant teams", "projectManagementSkills" : [ "Project schedule management" ], "domainKnowledge" : "3D NAND memory; Component; iNAND; cSS; eSS; NAND memory; Logic; Analog; Performance; Power consumption; Timing", "domainList" : [ "3d-nand-memory", "component", "inand", "css", "ess", "nand-memory", "logic", "analog", "performance", "power-consumption", "timing" ], "domainSpecificKnowledge" : [ "3D NAND memory", "Component", "iNAND", "cSS", "eSS", "NAND memory", "Logic", "Analog", "Performance", "Power consumption", "Timing" ], "toolProficiency" : [ "Digital scope", "Logic analyzer" ], "communicationSkills" : "Written English; Verbal English", "problemSolvingSkills" : "Circuit issue debug", "qualificationsBasic" : "2-10 years experience, BS/MS degree or equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. In this position, the individual will present 1. As a technical expert * Closely work with global design teams to do post silicon design validation, circuit issue debug, circuit characterization and mask judge * 3D NAND trim validation for component / iNAND / cSS / eSS product lines * Test development and implementation for characterization of NAND memory on ATE platforms. * Responsible for all aspects of test, including debug and validation, correlation, revision control, improve test method and design of test hardware; * Implement all aspects assessment of 3D NAND memory by using professional knowledge, including logic/ analog, performance, power consumption, timing and some aspects of reliability; * Develop software tools to speed up the process of development, data analysis and report 2. As a project owner Organize discussion with relevant teams to create silicon evaluation plan, secure project schedule, and support requirements for project decision making * Customize test coverage and define new test strategy for customers; ## Qualifications Skill set requirements: · * In-depth understanding of logic, analog, or memory IC; * Strong skills of test program development on main stream ATE, solid skills on Language C++/C; * Familiar with common lab equipment such as digital scope, logic analyzer; * Familiar with script languages; * Good written and verbal English. Education : BS/MS degree or equivalent with engineering background; Experience : 2-10 years ## Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [jobs.accommodations@sandisk.com](mailto:jobs.accommodations@sandisk.com) to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "Principal Engineer, Product Design Validation at Sandisk. Skills: Product design validation, 3D NAND validation, ATE platforms. Work with global design teams. Perform post silicon design validation", "postedDate" : "2026-06-15T01:34:28.000", "createdAt" : "2026-06-16T03:34:24.646", "lastUpdated" : "2026-06-16T15:27:30.070", "ingestTimestamp" : "2026-06-16T03:34:24.646", "mongoId" : "6a3092acf292fd229c0c3af5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "ATE programming", "Scripting", "Product design validation", "3D NAND validation", "ATE platforms", "Circuit debug", "Mask judge", "Test development", "Data analysis", "Report generation", "Project schedule management", "3D NAND memory", "Component", "iNAND", "cSS", "eSS", "NAND memory", "Logic", "Analog", "Performance", "Power consumption", "Timing", "Digital scope", "Logic analyzer" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 614.67944, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a070f0b99d58ffb4fb", "title" : "Software Development Engineer, System Frameworks and Performance", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Development Engineer in Bengaluru, India, adjusted for the Technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:32:45.905", "fingerprint" : "cfba4bbf5ab448cff702010c72e11c3cc3f9d91b5771f8fb5d4c1f6d82fd7816", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136593/apply", "externalId" : "671bd445-017a-4470-9784-c49c417f55d4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Android internals", "professionalSkills" : [ "System requirements", "Architecture decisions" ], "hardSkillsList" : [ "Debugging", "Performance tuning" ], "softSkillsList" : [ "Problem-solving skills", "Organizational skills", "Communication skills" ], "hardSkills" : [ { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving skills" }, { "name" : "Organizational skills" }, { "name" : "Communication skills" } ], "majorSkills" : "System architecture, Performance optimization, Android internals", "majorSkillsList" : [ "System architecture", "Performance optimization", "Android internals" ], "coreResponsibilities" : "Review software architecture for future products, Debug system stability issues, Debug performance issues, Instrument Fire OS, Monitor Fire OS, Enhance Fire OS, Implement optimizations to Fire OS, Influence architecture decisions, Specify system requirements, Collaborate with teams incorporating features", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Android internals", "domainList" : [ "android-internals" ], "domainSpecificKnowledge" : [ "Android internals" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Debugging; Root-cause analysis; Problem-solving skills", "outcomesObjectives" : "Drive optimizations to user experience", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job summary Fire TV is the #1 best-selling streaming media player in the U.S. We are looking for a strong software development engineer to contribute to the architecture and operating system level performance. In this role you will have the opportunity to drive optimizations to the user experience of all Fire TV devices. The ideal candidate has great debugging and problem-solving skills and deep knowledge of Android internals. You will also have an interest in developing automated solutions for consumer-facing products, strong technical ability, excellent organizational skills, great communication skills, a motivation to achieve results in a fast-paced environment. Key job responsibilities Key responsibilities: S/W architecture Review for future products. Debug and Root-Cause System Stability & Performance issues on FTV devices. Instrument, monitor and enhance Fire OS for every Fire TV device Suggest and implement optimizations to Fire OS Influence architecture decisions for best performance Specify system requirements for upcoming Fire TV devices Collaborate with teams incorporating features into Fire TV for optimal experience Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, System Frameworks and Performance at ADCI. Skills: System architecture, Performance optimization, Android internals. Review software architecture for future products. Debug system stability issues", "postedDate" : "2026-06-13T00:44:04.459", "createdAt" : "2026-06-13T00:44:04.459", "lastUpdated" : "2026-06-15T01:32:45.905", "ingestTimestamp" : "2026-06-13T00:44:04.459", "mongoId" : "693072a070f0b99d58ffb4fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136593/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Debugging", "Performance tuning", "Problem-solving skills", "Organizational skills", "Communication skills", "System architecture", "Performance optimization", "Android internals", "System requirements", "Architecture decisions" ], "skillCount" : 10, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 613.64813, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fa31584c40e2acd15a9213", "title" : "SoC Validation Engineer", "company" : "ADCI - BLR 14 SEZ", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level SoC Validation Engineer in Bengaluru, India, with 4+ years of experience in the Technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T01:47:52.531", "fingerprint" : "79ff9e7470bedfb30e213ccb2266212cdef4372dcfb85d51b95f448554fc703d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411578/apply", "externalId" : "8dfad958-bf56-49d8-8c9b-95135886e04d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "technicalSkills" : "C/C++, Python, Java, Perl, SystemVerilog, UVM", "professionalSkills" : [ "HW/SW interface" ], "hardSkillsList" : [ "Silicon bringup", "System debug", "Bare-metal programming" ], "hardSkills" : [ { "name" : "Silicon bringup", "level" : "intermediate" }, { "name" : "System debug", "level" : "intermediate" }, { "name" : "Bare-metal programming", "level" : "intermediate" } ], "majorSkills" : "SoC Validation, Pre-silicon verification, Post-silicon validation, Emulation systems", "majorSkillsList" : [ "SoC Validation", "Pre-silicon verification", "Post-silicon validation", "Emulation systems" ], "coreResponsibilities" : "Enable pre-silicon validation, Enable post-silicon validation, Develop test plans, Execute test plans, Design test environments, Build emulation models, Build prototype models, Develop subsystem testplans, Review subsystem testplans, Create SoC Verification plan, Create Validation plan, Implement tests, Implement scenarios, Develop baremetal drivers, Configure SoC subsystems, Develop test benches, Develop transactors, Develop monitors, Work with Emulation systems, Work with Prototyping systems, Develop infrastructure for emulation, Develop infrastructure for prototyping, Provide training, Provide failure debug support, Improve debug capabilities, Maximize platform utilization, Automate platform utilization, Debug issues, Resolve issues, Pioneer platform capabilities, Deploy platform capabilities, Continue pre-silicon efforts, Bring up early silicon, Port emulation testplans, Port prototyping testplans, Write tests for silicon, Write infrastructure for silicon, Ensure Performant compliance, Ensure Functional compliance", "teamCollaboration" : "Working with architects; Working with RTL designers; Working with SoC teams; Working with software development teams", "domainKnowledge" : "SoC; ML accelerator; Silicon IP; Neural Edge; Echo devices; ARM; DSP ISAs; SOC fabrics; Memory controllers; SOC peripherals; Machine learning; Computer vision; Robotics", "domainList" : [ "soc", "ml-accelerator", "silicon-ip", "neural-edge", "echo-devices", "arm", "dsp-isas", "soc-fabrics", "memory-controllers", "soc-peripherals", "machine-learning", "computer-vision", "robotics" ], "domainSpecificKnowledge" : [ "SoC", "ML accelerator", "Silicon IP", "Neural Edge", "Echo devices", "ARM", "DSP ISAs", "SOC fabrics", "Memory controllers", "SOC peripherals", "Machine learning", "Computer vision", "Robotics" ], "toolProficiency" : [ "Zebu", "HAPs" ], "communicationSkills" : "Written communication; Verbal communication", "innovationCreativity" : "Innovate on behalf customers; Innovate on ML accelerator", "problemSolvingSkills" : "Problem solving; Debug; Analysis; Automation", "qualificationsBasic" : "Bachelor's degree in Electrical Engineering, Experience programming languages C/C++, Experience programming languages Python, Experience programming languages Java, Experience programming languages Perl, 4+ years experience pre-silicon verification, 4+ years experience post-silicon validation, Problem solving skills, Debug skills, Analysis skills, Automation skills, Experience verification complex SOCs, Experience validation complex SOCs, Solid grasp HW/SW interface concepts, Firsthand experience silicon bringup, Firsthand experience complex system debug, Firsthand experience bare-metal programming", "qualificationsPreferred" : "Master's degree in Electrical Engineering, Master's degree in Communications Engineering, Experience with ARM, Experience with various DSP ISAs, Experience full development cycle, Experience SOC fabrics, Experience memory controllers, Experience SOC peripherals, Experience machine learning, Experience computer vision, Experience robotics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for an SoC Emulation Engineer to continue to innovate on behalf of our customers. We are a part of Amazon Lab126 that revolutionized reading with our Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. As an SoC Validation Engineer, you will be responsible for enabling the pre-silicon and post-silicon validation verification of next generation SoCs on multiple platforms such as emulation, prototyping and early silicon. You will develop and execute test plans, design test environments and help build emulation and prototype models while working closely with architects, RTL designers, SoC and software development teams. In this role, you will: Develop/review subsystem testplans and help create the SoC Verification and Validation plan. Implement tests and scenarios on multiple platforms. Develop and deploy baremetal drivers to configure SoC subsystems Pre-silicon activities: Develop test benches, transactors and monitors to work with Emulation systems (ex. Zebu) and Prototyping systems (ex. HAPs) Develop infrastructure for build and runtime of SoC emulation and prototyping models using vendor tools and Providing training, failure debug support and improving debug capabilities Maximize efficient utilization of the platforms through automation and other innovations Debug and resolve issues, pioneer and deploy new platform capabilities Post-silicon activities: Continue pre-silicon efforts to seamlessly intersect and bring up early silicon Port emulation and prototyping testplans to post-silicon activities Write tests and infrastructure to ensure Performant and Functional compliance of Silicon Key job responsibilities As an SoC Validation Engineer, you will be responsible for enabling the pre-silicon and post-silicon validation verification of next generation SoCs on multiple platforms such as emulation, prototyping and early silicon. You will develop and execute test plans, design test environments and help build emulation and prototype models while working closely with architects, RTL designers, SoC and software development teams. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a related field - Experience programming languages such as C/C++, Python, Java or Perl - 4+ years experience in pre-silicon verification using SystemVerilog/UVM - 4+ years’ experience in post-silicon validation - Very strong problem solving, debug and analysis, and automation skills - Experience with verification and validation of complex SOCs - Solid grasp of concepts of HW/SW interface - Firsthand experience with silicon bringup, complex system debug, or bare-metal programming. Preferred Qualifications: - Master's degree in Electrical or Communications Engineering or a related field - Experience with ARM and various DSP ISAs - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience in a full development cycle from pre-silicon verification to silicon bringup - Experience with SOC fabrics, memory controllers, and SOC peripherals - Experience with machine learning, computer vision or robotics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "SoC Validation Engineer at ADCI - BLR 14 SEZ. Skills: SoC Validation, Pre-silicon verification, Post-silicon validation, Emulation systems. Enable pre-silicon validation. Enable post-silicon validation", "postedDate" : "2026-06-13T05:30:37.562", "createdAt" : "2026-06-13T05:30:37.562", "lastUpdated" : "2026-06-15T01:47:52.531", "ingestTimestamp" : "2026-06-13T05:30:37.562", "mongoId" : "69fa31584c40e2acd15a9213", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411578/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Silicon bringup", "System debug", "Bare-metal programming", "SoC Validation", "Pre-silicon verification", "Post-silicon validation", "Emulation systems", "HW/SW interface", "SoC", "ML accelerator", "Silicon IP", "Neural Edge", "Echo devices", "ARM", "DSP ISAs", "SOC fabrics", "Memory controllers", "SOC peripherals", "Machine learning", "Computer vision", "Robotics", "Zebu", "HAPs" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 611.7699, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a3078d3f292fd229c02d03e", "title" : "Medical Monitor", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 1.0E7, "max" : 1.5E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Medical Monitor in Tokyo, Japan, adjusted for the Pharma industry and company size." }, "location" : "Tokyo, Tokyo, JP", "locations" : [ "Tokyo", "Tokyo", "JP" ], "timestamp" : "2026-06-16T12:07:45.625", "fingerprint" : "6bac6156ebe029b61eef7dee8a59a8017271b18b821f8d81b7419d8e192bd3b3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000132165556-medical-monitor", "externalId" : "744000132165556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "state" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6812546,139.7667060" }, { "city" : "Osaka", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "34.6937569,135.5014539" } ], "locationText" : "Tokyo, Tokyo, Japan; Osaka, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Medical Doctor degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Medical matters", "Clinical development", "Scientific presentations", "Clinical data analysis", "Pharmacovigilance activities", "Program risk management", "Mitigation strategies", "Clinical development advisory", "Safety monitoring", "Regulatory compliance" ], "hardSkillsList" : [ "Medical monitoring", "Data analysis", "Risk mitigation", "Regulatory guidelines" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Medical monitoring", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" }, { "name" : "Regulatory guidelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Problem-solving" } ], "majorSkills" : "Medical monitoring, Clinical data analysis, Regulatory compliance", "majorSkillsList" : [ "Medical monitoring", "Clinical data analysis", "Regulatory compliance" ], "coreResponsibilities" : "Advise clients on medical matters, Advise project teams on medical matters, Advise sites on medical matters, Advise data safety monitoring boards on medical matters, Advise regulatory agencies on medical matters, Advise third-party vendors on medical matters, Collaborate with internal departments in preparation of clinical, Collaborate with internal departments in preparation of protocols, Collaborate with internal departments in preparation of investigator, Collaborate with internal departments in preparation of annual, Collaborate with internal departments in preparation of clinical, Collaborate with internal departments in preparation of manuscripts, Collaborate with internal departments in preparation of scientific, Review and analysis of clinical data, Ensure safety of study participants, Ensure reported data is accurate, Ensure reported data is complete, Ensure reported data is verifiable, Ensure trial conduct compliance with protocol, Address safety issues across study, Participate in bid defense meetings, Assist in Pharmacovigilance activities, Identify Program risks, Create mitigation strategies, Implement mitigation strategies, Organise clinical development advisory boards, Lead clinical development advisory boards, Organise safety monitoring boards, Lead safety monitoring boards, Ensure Study team compliance with local regulatory agencies, Ensure Study team compliance with ICH guidelines, Ensure Study team compliance with GCP guidelines, Review clinical documents, Sign off clinical documents", "teamCollaboration" : "International group; Internal departments; Study team; Colleagues at all levels", "domainKnowledge" : "Clinical research; Clinical trial conduct; ICH guidelines; GCP guidelines; Pharmacovigilance; Drug approval process", "domainList" : [ "clinical-research", "clinical-trial-conduct", "ich-guidelines", "gcp-guidelines", "pharmacovigilance", "drug-approval-process" ], "domainSpecificKnowledge" : [ "Clinical research", "Clinical trial conduct", "ICH guidelines", "GCP guidelines", "Pharmacovigilance", "Drug approval process" ], "toolProficiency" : [ "MS Office applications" ], "communicationSkills" : "Presentation skills; Communication skills", "documentationSkills" : "Clinical documentation; Scientific documentation", "problemSolvingSkills" : "Problem-solving skills; Critical thinking", "qualificationsBasic" : "Medical Doctor degree, Prior experience in Clinical Research, Familiar and comfortable with clinical concepts, practices and local regulations regarding clinical research trials, Ability to interact with and train clinical monitors and physician investigators, Build constructive, trusting and respectful relationships with colleagues at all levels within and outside the organization, Excellent leadership, communication, presentation, and organizational skills, Exercise sound critical thinking and problem-solving skills, Execute position responsibilities with minimal guidance, Proficiency with MS Office applications", "qualificationsPreferred" : "Board-certification in major therapeutic area, Experience with local health authority interactions leading to drug approval", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PSI is a leading Contract Research Organization (CRO) with 30 years of experience in the pharmaceutical industry. Originated in Switzerland, PSI is a privately owned, full-service CRO with a global reach, supporting clinical trials across multiple countries and continents. Our reputation for being highly selective about the projects we undertake highlights our commitment to delivering high-quality, timely services across a broad spectrum of therapeutic indications. At PSI, we foster an environment where a diverse range of colleagues feel welcomed and valued. Our inclusive culture is a cornerstone of our success, enabling us to attract and retain top talent globally. We are not just about conducting clinical trials; we are about building a community where every team member has the opportunity to thrive and contribute to groundbreaking advancements in the pharmaceutical industry. As part of PSI's Medical Monitoring team, you will join our international group of medical professionals, build a career on the frontline of medical science and use your knowledge and expertise to help bring new medications to patients that need them. Full-time employment, Office location: Tokyo or Osaka Responsibilities: * Advise clients, project teams, sites, data safety monitoring boards, regulatory agencies and third-party vendors on medical matters * Collaborate with internal departments in the preparation of clinical development plans, protocols, investigator brochures, annual reports, clinical study reports, manuscripts, and different scientific presentations * Review and analysis of clinical data to ensure the safety of study participants in clinical studies * Ensure that the reported data is accurate, complete, and verifiable, and that the conduct of the trial is in compliance with the currently approved protocol/amendments * Address safety issues across the study from sites and the study team * Participate in bid defense meetings * Assist in Pharmacovigilance activities * Identify Program risks, and create and implement mitigation strategies with Clinical Operations * Ability to organise and lead clinical development advisory boards and safety monitoring boards * Ensure Study team compliance with local regulatory agencies, ICH and GCP guidelines * Review and sign off clinical documents with respect to medical relevance ## Qualifications * Medical Doctor degree * Board-certification in major therapeutic area (Oncology, Infectious disease, Gastroenterology, Hematology, Internal Medicine) is desirable * Prior experience in Clinical Research. * Familiar and comfortable with clinical concepts, practices and local regulations regarding clinical research trials experience with local health authority interactions leading to drug approval strongly preferred * Ability to interact with and train clinical monitors and physician investigators, and build constructive, trusting and respectful relationships with colleagues at all levels within and outside the organization * Must possess excellent leadership, communication, presentation, and organizational skills and be able to exercise sound critical thinking and problem-solving skills and execute position responsibilities with minimal guidance * Proficiency with MS Office applications ## Additional Information Join our highly dedicated team of clinical research professionals with 250+ Medical Doctors onboard, and make a tangible difference within a professional and energetic organization founded by scientists.", "summaryDescription" : "Medical Monitor at PSI CRO. Skills: Medical monitoring, Clinical data analysis, Regulatory compliance. Advise clients on medical matters. Advise project teams on medical matters", "postedDate" : "2026-06-15T10:29:47.000", "createdAt" : "2026-06-16T01:36:56.302", "lastUpdated" : "2026-06-16T12:07:45.625", "ingestTimestamp" : "2026-06-16T01:36:56.302", "mongoId" : "6a3078d3f292fd229c02d03e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Medical monitoring", "Data analysis", "Risk mitigation", "Regulatory guidelines", "Leadership", "Critical thinking", "Problem-solving", "Clinical data analysis", "Regulatory compliance", "Medical matters", "Clinical development", "Scientific presentations", "Pharmacovigilance activities", "Program risk management", "Mitigation strategies", "Clinical development advisory", "Safety monitoring", "Clinical research", "Clinical trial conduct", "ICH guidelines", "GCP guidelines", "Pharmacovigilance", "Drug approval process", "MS Office applications" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 608.72485, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305e6cf292fd229cf70713", "title" : "Medical Monitor", "company" : "PSI CRO", "industry" : "Pharmaceuticals", "salary" : { "min" : 1.05E7, "max" : 1.55E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Medical Monitor in Tokyo, Japan, adjusted for the Pharma industry and company size." }, "location" : "Tokyo, Tokyo, JP", "locations" : [ "Tokyo", "Tokyo", "JP" ], "timestamp" : "2026-06-16T11:57:32.031", "fingerprint" : "2aee53b1131a48353542c94a63906dd89ac2faa6f624e2bc192956e0fbfd6b07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/PSICRO/744000132165556-medical-monitor", "externalId" : "744000132165556", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "state" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6812546,139.7667060" }, { "city" : "Osaka", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "34.6937569,135.5014539" } ], "locationText" : "Tokyo, Tokyo, Japan; Osaka, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Medical Doctor degree", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "professionalSkills" : [ "Clinical development", "Medical matters", "Scientific presentations", "Clinical data analysis", "Pharmacovigilance activities", "Program risk identification", "Mitigation strategies", "Safety monitoring boards", "Regulatory compliance", "ICH guidelines", "GCP guidelines" ], "hardSkillsList" : [ "Clinical data review", "Data verification", "Protocol compliance", "Safety issue resolution", "Bid defense participation", "Regulatory agency compliance" ], "softSkillsList" : [ "Leadership", "Presentation", "Organizational skills", "Critical thinking", "Problem-solving skills" ], "hardSkills" : [ { "name" : "Clinical data review", "level" : "intermediate" }, { "name" : "Data verification", "level" : "intermediate" }, { "name" : "Protocol compliance", "level" : "intermediate" }, { "name" : "Safety issue resolution", "level" : "intermediate" }, { "name" : "Bid defense participation", "level" : "intermediate" }, { "name" : "Regulatory agency compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Presentation" }, { "name" : "Organizational skills" }, { "name" : "Critical thinking" }, { "name" : "Problem-solving skills" } ], "majorSkills" : "Medical monitoring, Clinical data analysis, Regulatory compliance", "majorSkillsList" : [ "Medical monitoring", "Clinical data analysis", "Regulatory compliance" ], "coreResponsibilities" : "Advise clients on medical matters, Advise project teams on medical matters, Advise sites on medical matters, Advise data safety monitoring boards on medical matters, Advise regulatory agencies on medical matters, Advise third-party vendors on medical matters, Collaborate with internal departments in preparation of clinical, Collaborate with internal departments in preparation of protocols, Collaborate with internal departments in preparation of investigator, Collaborate with internal departments in preparation of annual, Collaborate with internal departments in preparation of clinical, Collaborate with internal departments in preparation of manuscripts, Collaborate with internal departments in preparation of scientific, Review and analysis of clinical data, Ensure safety of study participants, Ensure reported data is accurate, Ensure reported data is complete, Ensure reported data is verifiable, Ensure trial conduct is in compliance with protocol, Address safety issues across the study, Participate in bid defense meetings, Assist in Pharmacovigilance activities, Identify Program risks, Create mitigation strategies, Implement mitigation strategies, Organise clinical development advisory boards, Lead clinical development advisory boards, Organise safety monitoring boards, Lead safety monitoring boards, Ensure Study team compliance with local regulatory agencies, Ensure Study team compliance with ICH guidelines, Ensure Study team compliance with GCP guidelines, Review clinical documents, Sign off clinical documents", "teamCollaboration" : "Collaborate with internal departments; Interact with clinical monitors; Train clinical monitors; Interact with physician investigators; Train physician investigators; Build relationships with colleagues", "domainKnowledge" : "Clinical research trials; Local regulations; Drug approval process; ICH guidelines; GCP guidelines", "domainList" : [ "clinical-research-trials", "local-regulations", "drug-approval-process", "ich-guidelines", "gcp-guidelines" ], "domainSpecificKnowledge" : [ "Clinical research trials", "Local regulations", "Drug approval process", "ICH guidelines", "GCP guidelines" ], "toolProficiency" : [ "MS Office applications" ], "communicationSkills" : "Presentation skills; Communication skills", "documentationSkills" : "Clinical documentation; Scientific presentations", "problemSolvingSkills" : "Critical thinking; Problem-solving skills", "qualificationsBasic" : "Medical Doctor degree, Prior experience in Clinical Research, Familiar and comfortable with clinical concepts, practices and local regulations regarding clinical research trials, Ability to interact with and train clinical monitors and physician investigators, Build constructive, trusting and respectful relationships with colleagues at all levels within and outside the organization, Possess excellent leadership, communication, presentation, and organizational skills, Able to exercise sound critical thinking and problem-solving skills, Execute position responsibilities with minimal guidance, Proficiency with MS Office applications", "qualificationsPreferred" : "Board-certification in major therapeutic area, Experience with local health authority interactions leading to drug approval", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "PSI is a leading Contract Research Organization (CRO) with 30 years of experience in the pharmaceutical industry. Originated in Switzerland, PSI is a privately owned, full-service CRO with a global reach, supporting clinical trials across multiple countries and continents. Our reputation for being highly selective about the projects we undertake highlights our commitment to delivering high-quality, timely services across a broad spectrum of therapeutic indications. At PSI, we foster an environment where a diverse range of colleagues feel welcomed and valued. Our inclusive culture is a cornerstone of our success, enabling us to attract and retain top talent globally. We are not just about conducting clinical trials; we are about building a community where every team member has the opportunity to thrive and contribute to groundbreaking advancements in the pharmaceutical industry. As part of PSI's Medical Monitoring team, you will join our international group of medical professionals, build a career on the frontline of medical science and use your knowledge and expertise to help bring new medications to patients that need them. Full-time employment, Office location: Tokyo or Osaka Responsibilities: * Advise clients, project teams, sites, data safety monitoring boards, regulatory agencies and third-party vendors on medical matters * Collaborate with internal departments in the preparation of clinical development plans, protocols, investigator brochures, annual reports, clinical study reports, manuscripts, and different scientific presentations * Review and analysis of clinical data to ensure the safety of study participants in clinical studies * Ensure that the reported data is accurate, complete, and verifiable, and that the conduct of the trial is in compliance with the currently approved protocol/amendments * Address safety issues across the study from sites and the study team * Participate in bid defense meetings * Assist in Pharmacovigilance activities * Identify Program risks, and create and implement mitigation strategies with Clinical Operations * Ability to organise and lead clinical development advisory boards and safety monitoring boards * Ensure Study team compliance with local regulatory agencies, ICH and GCP guidelines * Review and sign off clinical documents with respect to medical relevance ## Qualifications * Medical Doctor degree * Board-certification in major therapeutic area (Oncology, Infectious disease, Gastroenterology, Hematology, Internal Medicine) is desirable * Prior experience in Clinical Research. * Familiar and comfortable with clinical concepts, practices and local regulations regarding clinical research trials experience with local health authority interactions leading to drug approval strongly preferred * Ability to interact with and train clinical monitors and physician investigators, and build constructive, trusting and respectful relationships with colleagues at all levels within and outside the organization * Must possess excellent leadership, communication, presentation, and organizational skills and be able to exercise sound critical thinking and problem-solving skills and execute position responsibilities with minimal guidance * Proficiency with MS Office applications ## Additional Information Join our highly dedicated team of clinical research professionals with 250+ Medical Doctors onboard, and make a tangible difference within a professional and energetic organization founded by scientists.", "summaryDescription" : "Medical Monitor at PSI CRO. Skills: Medical monitoring, Clinical data analysis, Regulatory compliance. Advise clients on medical matters. Advise project teams on medical matters", "postedDate" : "2026-06-15T10:29:47.000", "createdAt" : "2026-06-16T00:09:01.294", "lastUpdated" : "2026-06-16T11:57:32.031", "ingestTimestamp" : "2026-06-16T00:09:01.294", "mongoId" : "6a305e6cf292fd229cf70713", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Clinical data review", "Data verification", "Protocol compliance", "Safety issue resolution", "Bid defense participation", "Regulatory agency compliance", "Leadership", "Presentation", "Organizational skills", "Critical thinking", "Problem-solving skills", "Medical monitoring", "Clinical data analysis", "Regulatory compliance", "Clinical development", "Medical matters", "Scientific presentations", "Pharmacovigilance activities", "Program risk identification", "Mitigation strategies", "Safety monitoring boards", "ICH guidelines", "GCP guidelines", "Clinical research trials", "Local regulations", "Drug approval process", "MS Office applications" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 608.72485, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pharma", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f40f292fd229cf7a1e7", "title" : "Senior Data Governance Specialist", "company" : "Rituals", "industry" : "Cosmetics", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Governance Specialist in Amsterdam, Netherlands, adjusted for the retail industry and company size." }, "location" : "Amsterdam, NH, Netherlands", "locations" : [ "Amsterdam", "NH", "Netherlands" ], "timestamp" : "2026-06-16T09:27:17.772", "fingerprint" : "0361b69b0126b6908620b99bc3203863f55169922df89c989ed45072ee64384e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Rituals1/744000132218694-senior-data-governance-specialist", "externalId" : "744000132218694", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Data ownership", "Data quality", "Metadata management", "Data classification", "Change management" ], "hardSkillsList" : [ "Data governance framework", "Data governance tooling", "Data definitions", "Governance structures" ], "softSkillsList" : [ "Influence", "Educate stakeholders", "Challenge ideas constructively" ], "hardSkills" : [ { "name" : "Data governance framework", "level" : "intermediate" }, { "name" : "Data governance tooling", "level" : "intermediate" }, { "name" : "Data definitions", "level" : "intermediate" }, { "name" : "Governance structures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Influence" }, { "name" : "Educate stakeholders" }, { "name" : "Challenge ideas constructively" } ], "majorSkills" : "Data governance, Change management, Stakeholder engagement", "majorSkillsList" : [ "Data governance", "Change management", "Stakeholder engagement" ], "coreResponsibilities" : "Co-develop data governance framework, Validate data governance framework, Co-develop data governance tooling, Validate data governance tooling, Co-develop organisational structure, Validate organisational structure, Ensure governance initiatives are practical, Ensure governance initiatives are business-focused, Ensure governance initiatives are aligned with operational processes, Use knowledge of products to guide decisions, Use knowledge of processes to guide decisions, Use knowledge of systems to guide decisions, Guide decisions around data definitions, Guide decisions around data classifications, Guide decisions around data ownership, Guide decisions around governance structures, Support onboarding of data owners, Support continuous development of data owners, Organise training sessions, Help build data governance community, Provide feedback on governance design, Provide feedback on governance tooling, Act as data governance ambassador, Create engagement from stakeholders, Create buy-in from stakeholders, Collaborate with cross-functional teams, Support end-to-end adoption of data governance practices", "teamCollaboration" : "Cross-functional teams; Central Data Governance Team; Control & Analytics Department; Business departments; Tech & Data Department", "domainKnowledge" : "Data governance practices; Data ownership model; Data quality improvements; Accountability; Transparency; Governance-minded thinking", "domainList" : [ "data-governance-practices", "data-ownership-model", "data-quality-improvements", "accountability", "transparency", "governance-minded-thinking" ], "domainSpecificKnowledge" : [ "Data governance practices", "Data ownership model", "Data quality improvements", "Accountability", "Transparency", "Governance-minded thinking" ], "communicationSkills" : "Influence stakeholders; Educate stakeholders", "continuousLearning" : "Gain knowledge of Rituals’ products; Gain knowledge of Rituals’ services; Gain knowledge of Rituals’ systems; Gain knowledge of Rituals’ internal culture", "problemSolvingSkills" : "Analytical thinking; Critical thinking", "outcomesObjectives" : "Strengthen data ownership model; Support data quality improvements; Contribute to accountability culture; Contribute to transparency culture; Contribute to governance-minded thinking culture; Successful implementation of data governance policies; Successful adoption of data governance policies; Successful implementation of data governance frameworks; Successful adoption of data governance frameworks; Successful implementation of data governance tooling; Successful adoption of data governance tooling; Improve data quality; Reduce risk; Strengthen organisational readiness", "qualificationsBasic" : "HBO/WO degree, At least 5 years of relevant work experience, Experience in data management, Experience in data governance, Experience in change management, Practical knowledge of data governance topics, Communication skills, Collaboration skills, Analytical thinking skills, Critical thinking skills, Stakeholder engagement skills", "qualificationsPreferred" : "Master's degree in Business Administration, Master's degree in Data Science, Master's degree in Information Management, Experience in training, Experience in facilitation, Experience in community building, Familiarity with data management tools, Familiarity with business processes, Knowledge of Rituals’ products, Knowledge of Rituals’ services, Knowledge of Rituals’ systems, Knowledge of Rituals’ internal culture", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As our Senior Data Governance Specialist, you play a key role in helping Rituals manage data as a strategic asset. You translate business knowledge into practical and effective data governance practices, ensuring governance frameworks, tooling, and ways of working are aligned with real business needs, processes, and systems. In this role, you act as an important bridge between business teams and the central data governance function. You help strengthen the data ownership model, support data quality improvements, and contribute to a culture where accountability, transparency, and governance-minded thinking are embedded across the organisation. You are part of the Control & Analytics Department and the Central Data Governance Team, reporting to the Head of Reporting & BI. You will work closely with colleagues across all business departments and the Tech & Data Department. YOUR ACCOUNTABILITIES As Senior Data Governance Specialist, you will: * co-develop and validate the data governance framework, tooling, and organisational structure together with the Data Governance Implementation Manager * ensure governance initiatives are practical, business-focused, and aligned with operational processes * use your knowledge of products, processes, and systems to guide decisions around data definitions, classifications, ownership, and governance structures * support the onboarding and continuous development of data owners across the organisation * organise training sessions and help build a strong data governance community * provide constructive feedback on governance design and tooling to improve feasibility, usability, and adoption * act as a data governance ambassador, creating engagement and buy-in from stakeholders at all levels * collaborate closely with cross-functional teams to support the end-to-end adoption of data governance practices In this role, your impact is significant. You contribute directly to the successful implementation and adoption of data governance policies, frameworks, and tooling across Rituals. By bringing practical business input into governance strategy and design, you support Rituals’ long-term data ambition while helping improve data quality, reduce risk, and strengthen organisational readiness. ## Qualifications You are a strong connector who understands both business reality and the value of good data governance. You know how to bring people along, challenge ideas constructively, and translate complexity into practical actions. You are comfortable working across functions and levels, and you enjoy building structure, ownership, and long-term impact. You also have: * an HBO/WO (Bachelor/Master) degree, preferably in Business Administration, Data Science, or Information Management * at least 5 years of relevant work experience * experience in data management, data governance, and change management * practical knowledge of data governance topics such as data ownership, data quality, metadata, and classification * strong communication and collaboration skills, with the ability to influence and educate stakeholders at all levels * strong analytical and critical thinking skills, and the confidence to challenge ideas constructively * experience in training, facilitation, and community building * stakeholder engagement skills that help drive cultural and behavioural change * familiarity with data management tools, business processes, and systems; this is a plus * be open to gain strong knowledge of Rituals’ products, services, systems, and internal culture This is an exciting opportunity to play an important role in shaping and embedding data governance across Rituals. You will work in a highly visible position with broad exposure across the business, where your expertise will help connect people, processes, and data in a meaningful way. If you are passionate about strengthening data ownership, improving governance adoption, and building a more data-aware organisation, this role offers the opportunity to make a real and lasting impact. ## Additional Information YOUR PATH TO A NEW CAREER Grow with us! The next steps are: * Apply via our website (please make sure you meet the requirements and tell us why you apply) * Our recruiter will contact you within 10 working days. * An introductory meeting at at our Central Head Office in Amsterdam follows. * You do an online assessment. * You have the second interview at our Central Head Office in Amsterdam. * In the event of a positive outcome, you will receive a proposal with the terms of employment. Any questions? Recruitment is happy to speak to you via [frederik.vanzeggeren@rituals.com](mailto:pieter.deboer@rituals.com). Please note that applications via e-mail are not taken into consideration.", "summaryDescription" : "Senior Data Governance Specialist at Rituals. Skills: Data governance, Change management, Stakeholder engagement. Co-develop data governance framework. Validate data governance framework", "postedDate" : "2026-06-15T14:35:20.000", "createdAt" : "2026-06-16T00:09:38.092", "lastUpdated" : "2026-06-16T09:27:17.772", "ingestTimestamp" : "2026-06-16T00:09:38.092", "mongoId" : "6a305f40f292fd229cf7a1e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data governance framework", "Data governance tooling", "Data definitions", "Governance structures", "Influence", "Educate stakeholders", "Challenge ideas constructively", "Data governance", "Change management", "Stakeholder engagement", "Data ownership", "Data quality", "Metadata management", "Data classification", "Data governance practices", "Data ownership model", "Data quality improvements", "Accountability", "Transparency", "Governance-minded thinking" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 605.79474, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26132beec4dd3d90b57d", "title" : "Cardiac Monitoring Tech - Central Monitoring Unit", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 38000.0, "max" : 52000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Entry-level Cardiac Monitoring Tech in Tampa, FL, adjusted for the healthcare industry and a large hospital system." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Main Campus (TGHMAIN)
1 Tampa General Circle

Tampa, 33601

" ], "certifications" : [ "EKG certification" ], "timestamp" : "2026-06-15T09:54:24.883", "fingerprint" : "0693b3c24ecb2e2a2708d28cc088b299c75c1d5cfee103fbd903f356e5e16ebe", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=674718", "externalId" : "674718", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "High School", "domainKnowledge" : "Basic normal cardiac rhythms; Dysrhythmias; Lethal rhythms", "domainList" : [ "basic-normal-cardiac-rhythms", "dysrhythmias", "lethal-rhythms" ], "domainSpecificKnowledge" : [ "Basic normal cardiac rhythms", "Dysrhythmias", "Lethal rhythms" ], "communicationSkills" : "Verbal communication; Written communication", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision, follows established policies, procedures and professional guidelines. Responsible for monitoring and identifying basic normal cardiac rhythms, dysrhythmias and lethal arrhythmias; reporting these findings to the appropriate personnel, and rhythm documentation and labeling per TGH policy. Performs customer service, receptionist and clerical/ secretarial activities. Serves as a communication resource for patients, visitors, family, and health care team members with the ability to triage communication priorities. Answers the telephone and patient intercom system. Alerts nursing staff to patient and family concerns and other calls, orders supplies and stock items as required. Dual role responsibilities will not be performed at the same time, but will be able to flex between the roles based on organizational needs. Also responsible for performing job duties in accordance with mission, vision and values of Tampa General Hospital. table {mso-displayed-decimal-separator:\"\\.\"; mso-displayed-thousand-separator:\"\\,\";} tr {mso-height-source:auto;} col {mso-width-source:auto;} td {padding-top:1px; padding-right:1px; padding-left:1px; mso-ignore:padding; color:black; font-size:11.0pt; font-weight:400; font-style:normal; text-decoration:none; font-family:Calibri, sans-serif; mso-font-charset:0; text-align:general; vertical-align:bottom; border:none; white-space:nowrap; mso-rotate:0;} .font7 {color:black; font-size:11.0pt; font-weight:400; font-style:normal; text-decoration:none; font-family:\"Times New Roman\", serif; mso-font-charset:0;} .font11 {color:black; font-size:11.0pt; font-weight:700; font-style:normal; text-decoration:none; font-family:\"Times New Roman\", serif; mso-font-charset:0;} .xl418 {font-family:\"Times New Roman\", serif; mso-font-charset:0; text-align:left; vertical-align:top; white-space:normal;} High school diploma or GED required. Successful completion of EKG certification program or previous experience as a Monitor Technician in an acute care hospital and successful completion of a competency assessment required. Ability to accurately interpret rhythm strips and recognize changes required. Ability to demonstrate knowledge of basic computer skills, medical terminology and communicates effectively both verbally and in writing required. Can be a licensed Paramedic in Florida or a nationally recognized Paramedic. Tampa", "summaryDescription" : "Cardiac Monitoring Tech - Central Monitoring Unit at Tampa General Hospital", "createdAt" : "2026-06-14T06:45:32.694", "lastUpdated" : "2026-06-15T09:54:24.883", "ingestTimestamp" : "2026-06-14T06:45:32.694", "mongoId" : "69cf26132beec4dd3d90b57d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 38000, "salaryAnnualMax" : 52000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Basic normal cardiac rhythms", "Dysrhythmias", "Lethal rhythms", "EKG certification" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 603.5958, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e79074d8ee00a0026b84", "title" : "Healthcare Data Analyst", "company" : "VetsEZ", "industry" : "Healthcare", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Healthcare Data Analyst in Tampa, United States, adjusted for industry and company size." }, "location" : "Tampa, FL", "locations" : [ "Tampa", "FL" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T08:10:44.560", "fingerprint" : "44ec027342124f3fac27eec19dfb76f4c957d20b97de7f68f11b05fc50eaceaf", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://vetsez.breezy.hr/p/83945c2afcd501-healthcare-data-analyst-remote-opportunity", "externalId" : "83945c2afcd501", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data mapping", "Data validation", "Actionable insights" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data mapping, Data validation", "majorSkillsList" : [ "Data analysis", "Data mapping", "Data validation" ], "coreResponsibilities" : "Analyze healthcare data, Support data mapping, Support data validation, Translate needs into insights", "teamCollaboration" : "Delivery teams; Stakeholders", "domainKnowledge" : "Healthcare interoperability", "domainList" : [ "healthcare-interoperability" ], "domainSpecificKnowledge" : [ "Healthcare interoperability" ], "toolProficiency" : [ "Dbt Cloud" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "VetsEZ is seeking a Healthcare Data Analyst to support a large federal healthcare interoperability program. In this role, you will analyze healthcare data, support data mapping and validation, and help translate operational and reporting needs into actionable insights for delivery teams and stakeho", "summaryDescription" : "Healthcare Data Analyst at VetsEZ. Skills: Data analysis, Data mapping, Data validation. Analyze healthcare data. Support data mapping", "createdAt" : "2026-06-13T23:04:08.438", "lastUpdated" : "2026-06-15T08:10:44.560", "ingestTimestamp" : "2026-06-13T23:04:08.438", "mongoId" : "6a24e79074d8ee00a0026b84", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data analysis", "Data mapping", "Data validation", "Actionable insights", "Healthcare interoperability", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 600.6055, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c951374d8ee00a098c2fc", "title" : "Principal Power & Performance Validation Engineer", "company" : "Graphcore", "industry" : "Technology", "salary" : { "min" : 4500000.0, "max" : 7000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead Principal Power & Performance Validation Engineer in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, India", "locations" : [ "Bengaluru", "India" ], "timestamp" : "2026-06-15T13:23:46.667", "fingerprint" : "4a6dfaf754a6cf61d16c019bd5fe38b781009aa79f26013dd83428f1cc6d1c11", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/graphcore/jobs/8587305002", "externalId" : "8587305002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, C/C++, Linux, SoC architecture, CPU, Memory, Interconnect, High-speed I/O", "professionalSkills" : [ "Performance validation", "Silicon characterization", "System performance engineering", "Team leadership", "Technical guidance", "Coaching", "Career development", "Validation strategy", "Validation execution", "Workload optimization", "Automation framework development", "Regression infrastructure development", "Reporting tools development", "Benchmark design", "Performance experiments", "Data analysis", "Process improvement", "Tooling improvement", "Engineering practices" ], "hardSkillsList" : [ "Power validation", "Thermal validation", "Performance validation", "Silicon characterization", "System performance analysis", "Low-level performance analysis", "Python automation", "Data analysis", "Debugging complex issues", "Workload modeling", "Test strategy definition", "Performance tuning", "Power management", "Hardware instrumentation", "Telemetry systems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Power validation", "level" : "intermediate" }, { "name" : "Thermal validation", "level" : "intermediate" }, { "name" : "Performance validation", "level" : "intermediate" }, { "name" : "Silicon characterization", "level" : "intermediate" }, { "name" : "System performance analysis", "level" : "intermediate" }, { "name" : "Low-level performance analysis", "level" : "intermediate" }, { "name" : "Python automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Debugging complex issues", "level" : "intermediate" }, { "name" : "Workload modeling", "level" : "intermediate" }, { "name" : "Test strategy definition", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Power management", "level" : "intermediate" }, { "name" : "Hardware instrumentation", "level" : "intermediate" }, { "name" : "Telemetry systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Power validation, Performance validation, AI compute silicon, System performance", "majorSkillsList" : [ "Power validation", "Performance validation", "AI compute silicon", "System performance" ], "coreResponsibilities" : "Define validation strategies, Lead validation activities, Mentor validation engineers, Support validation engineers, Drive planning, Prioritize validation activities, Execute validation activities, Develop validation plans, Lead post-silicon bring-up, Drive power validation, Drive performance validation, Validate CPU subsystems, Validate memory subsystems, Validate interconnect subsystems, Validate I/O subsystems, Develop automation frameworks, Develop regression infrastructure, Develop reporting tools, Design benchmark workloads, Execute performance experiments, Collaborate with teams, Debug technical issues, Resolve technical issues, Define validation metrics, Define pass/fail criteria, Define reporting methodologies, Guide workload generator development, Guide micro-benchmark development, Analyze power data, Analyze thermal data, Analyze performance data, Identify bottlenecks, Recommend improvements, Contribute to process improvement, Contribute to tooling improvement, Contribute to practice improvement, Communicate technical findings, Communicate project status, Communicate risks, Communicate recommendations, Support hiring activities, Support onboarding, Support team growth", "teamCollaboration" : "Cross-functional teams; Architecture teams; RTL teams; Firmware teams; Software teams; Systems teams; Geographically distributed teams", "projectManagementSkills" : [ "Prioritization", "Delivery coordination" ], "domainKnowledge" : "AI compute silicon; SoC architecture; High-performance compute; AI accelerators; GPU architectures; Power management technologies; Silicon characterization", "domainList" : [ "ai-compute-silicon", "soc-architecture", "high-performance-compute", "ai-accelerators", "gpu-architectures", "power-management-technologies", "silicon-characterization" ], "domainSpecificKnowledge" : [ "AI compute silicon", "SoC architecture", "High-performance compute", "AI accelerators", "GPU architectures", "Power management technologies", "Silicon characterization" ], "toolProficiency" : [ "Stress-ng", "Fio", "Perf", "Iperf" ], "communicationSkills" : "Communicate technical findings; Communicate project status; Communicate risks; Communicate recommendations", "problemSolvingSkills" : "Debug complex issues; Identify bottlenecks; Recommend improvements; Root cause analysis", "qualificationsBasic" : "Experience in power and performance validation, Experience leading engineering teams, Deep understanding of SoC architecture, Linux systems knowledge, Low-level performance analysis experience, Python programming skills, Experience with benchmarking tools, Experience debugging hardware and software, Define structured validation methodologies, Analytical skills, Communication skills, Stakeholder management skills, Cross-functional collaboration skills, Lead technical initiatives", "qualificationsPreferred" : "Experience with AI accelerator architectures, Experience with GPU architectures, Experience with high-performance compute architectures, Experience with pre-silicon modelling, Experience with simulation environments, Knowledge of power management technologies, Knowledge of silicon characterization methodologies, Programming experience in C/C++, Familiarity with hardware instrumentation, Familiarity with telemetry systems, Experience with high core-count systems, Experience with large-scale compute systems, Experience scaling technical teams, Experience building technical teams", "rawDescription" : "About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role combines deep technical expertise with people leadership responsibilities, including team development, prioritisation, mentoring and delivery coordination across multiple projects and stakeholders. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously improve validation infrastructure and methodologies. Responsibilities and Duties Define and lead validation strategies for power, thermal and performance characterization of AI compute silicon and platforms Lead, mentor and support a team of validation engineers, providing technical guidance, coaching and career development Drive planning, prioritisation and execution of validation activities across multiple projects and milestones Develop comprehensive validation plans covering functional, stress, workload and corner-case scenarios Lead post-silicon bring-up and characterization activities for power and performance validation Drive validation of CPU, memory, interconnect and high-speed I/O subsystems under complex workload conditions Develop scalable automation frameworks, regression infrastructure and reporting tools using Python Design and execute benchmark workloads, parameter sweeps and performance experiments to identify optimization opportunities Collaborate with architecture, RTL, firmware, software and systems teams to debug and resolve complex technical issues Define validation metrics, pass/fail criteria and reporting methodologies to ensure repeatable and high-quality analysis Guide development of custom workload generators and micro-benchmarks where required Analyse power, thermal and performance data to identify bottlenecks and recommend improvements Contribute to continuous improvement of validation processes, tooling and engineering practices Communicate technical findings, project status, risks and recommendations clearly to stakeholders and engineering leadership Support hiring activities, onboarding and team growth initiatives Candidate Profile Essential: Strong experience in power and performance validation, silicon characterization or system performance engineering Experience leading or managing engineering teams within a technical environment Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies Strong Linux systems knowledge and low-level performance analysis experience Strong Python programming skills for automation, orchestration and data analysis Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies Experience debugging complex hardware and software interactions Ability to define structured validation methodologies, workload models and test strategies Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks Strong communication, stakeholder management and cross-functional collaboration skills Ability to lead complex technical initiatives across geographically distributed teams Desirable Experience with AI accelerator, GPU or high-performance compute architectures Experience with pre-silicon modelling or simulation environments Knowledge of power management technologies and silicon characterization methodologies Programming experience in C/C++ for low-level system or benchmark development Familiarity with hardware instrumentation and telemetry systems Experience working with high core-count or large-scale compute systems Experience scaling or building technical engineering teams", "summaryDescription" : "Principal Power & Performance Validation Engineer at Graphcore. Skills: Power validation, Performance validation, AI compute silicon, System performance. Define validation strategies. Lead validation activities", "postedDate" : "2026-06-14T08:59:47.356", "createdAt" : "2026-06-14T08:59:47.356", "lastUpdated" : "2026-06-15T13:23:46.667", "ingestTimestamp" : "2026-06-14T08:59:47.356", "mongoId" : "6a2c951374d8ee00a098c2fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Power validation", "Thermal validation", "Performance validation", "Silicon characterization", "System performance analysis", "Low-level performance analysis", "Python automation", "Data analysis", "Debugging complex issues", "Workload modeling", "Test strategy definition", "Performance tuning", "Power management", "Hardware instrumentation", "Telemetry systems", "Leadership", "Mentoring", "AI compute silicon", "System performance", "System performance engineering", "Team leadership", "Technical guidance", "Coaching", "Career development", "Validation strategy", "Validation execution", "Workload optimization", "Automation framework development", "Regression infrastructure development", "Reporting tools development", "Benchmark design", "Performance experiments", "Process improvement", "Tooling improvement", "Engineering practices", "Prioritization", "Delivery coordination", "SoC architecture", "High-performance compute", "AI accelerators", "GPU architectures", "Power management technologies", "Stress-ng", "Fio", "Perf", "Iperf" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 599.01227, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30655af292fd229cfa72d3", "title" : "Robotics Data Quality Engineer", "company" : "xdof", "industry" : "Robotics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Robotics Data Quality Engineer in San Mateo, United States, adjusted for the technology industry and company size." }, "location" : "San Mateo Hybrid", "locations" : [ "San Mateo Hybrid" ], "timestamp" : "2026-06-16T12:38:38.818", "fingerprint" : "71689cf59637a0353ba554dfc62238b9f3574f3a5077e7b3c41472a315f0d917", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d/application", "externalId" : "73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Numpy, Pandas, Matplotlib, Plotly, Protobuf, HDF5, ROS bags", "professionalSkills" : [ "Data validation", "Data visualization", "Schema design", "Data formats", "Root cause analysis" ], "hardSkillsList" : [ "Spatial transformations", "Time-series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Spatial transformations", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Data quality, Robotics data, Data validation, Data pipelines", "majorSkillsList" : [ "Data quality", "Robotics data", "Data validation", "Data pipelines" ], "coreResponsibilities" : "Analyze robotics data, Identify quality issues, Plot joint velocities, Validate camera poses, Check gripper encoder accuracy, Flag anomalous collection sessions, Build automated validation pipelines, Design data formats, Document data formats, Design schemas, Document schemas, Ensure consistency, Ensure versioning, Build data visualization tools, Build dashboards, Validate cross-modal temporal alignment, Synchronize timestamps, Detect dropped frames, Detect clock drift, Define quality metrics, Define quality thresholds, Track data quality improvement, Track data quality degradation, Catalog edge cases, Catalog failure modes, Trace quality issues, Identify root cause", "teamCollaboration" : "Work with partners; Work with internal researchers; Work with data collection operators", "domainKnowledge" : "Robotics; 3D geometry; Coordinate frames; Spatial transformations; Physical systems; Teleoperation systems; Motion capture; Egocentric data collection; Signal processing; Sensor fusion; Time-series analysis; Data versioning; Schema migration; 0->1 environments", "domainList" : [ "robotics", "3d-geometry", "coordinate-frames", "spatial-transformations", "physical-systems", "teleoperation-systems", "motion-capture", "egocentric-data-collection", "signal-processing", "sensor-fusion", "time-series-analysis", "data-versioning", "schema-migration", "0-1-environments" ], "domainSpecificKnowledge" : [ "Robotics", "3D geometry", "Coordinate frames", "Spatial transformations", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Signal processing", "Sensor fusion", "Time-series analysis", "Data versioning", "Schema migration", "0->1 environments" ], "documentationSkills" : "Document data formats; Document schemas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, Python data skills, Comfort working with large datasets, Solid understanding of 3D geometry, Solid understanding of coordinate frames, Solid understanding of spatial transformations, Intuition for physical systems", "qualificationsPreferred" : "Hands-on experience with robotics data, Experience with teleoperation systems, Experience with motion capture, Experience with egocentric data collection, Experience with signal processing, Experience with sensor fusion, Experience with time-series analysis, Built internal data visualization tools, Worked on data versioning, Worked on data lineage tracking, Worked on schema migration, Comfortable working in 0->1 environments, Mission-driven, Passionate about robotics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At xdof, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward. The models are only as good as the data. We’re looking for a Robotics Data Quality Engineer to be the person who knows whether our data is trustworthy, across every modality we collect. You’ll analyze, validate, and build tooling around data from teleoperation on real hardware, egocentric capture, UMI-style grippers, and more. If something is wrong with the data, you’re the first to catch it and the one who helps us fix the process. What You’ll Do Data quality engineers are the bridge between raw collection and usable training data. Sample projects include: - analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions - building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse - designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers - building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts - validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams - defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales - cataloging edge cases and failure modes into a shared taxonomy so the team has a common language for data issues - working closely with data collection operators to trace quality issues back to their root cause, whether systemic (hardware calibration, sensor drift) or operator-specific About You Baseline skills: - bachelor’s or master’s degree (or equivalent experience) in robotics, computer science, mechanical engineering, or a related field - strong Python data skills (numpy, pandas, matplotlib or plotly) and comfort working with large, messy datasets - solid understanding of 3D geometry, coordinate frames, and spatial transformations - intuition for physical systems: you can look at a trajectory or a joint velocity plot and tell when something is off - experience designing or working with structured data formats (protobuf, HDF5, ROS bags, or similar) You might be a good fit if you: - have hands-on experience with robotics data, whether from a research lab, a robotics startup, or a manipulation/locomotion project - have worked with teleoperation systems, motion capture, or egocentric data collection - have experience with signal processing, sensor fusion, or time-series analysis - have built internal data visualization tools or dashboards for technical teams - have worked on data versioning, lineage tracking, or schema migration in a production setting - are very comfortable working in 0→1 environments - are mission-driven and passionate about robotics: work at xdof is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!", "summaryDescription" : "Robotics Data Quality Engineer at xdof. Skills: Data quality, Robotics data, Data validation, Data pipelines. Analyze robotics data. Identify quality issues", "createdAt" : "2026-06-16T00:28:18.617", "lastUpdated" : "2026-06-16T12:38:38.818", "ingestTimestamp" : "2026-06-16T00:28:18.617", "mongoId" : "6a30655af292fd229cfa72d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Spatial transformations", "Time-series analysis", "Signal processing", "Data quality", "Robotics data", "Data validation", "Data pipelines", "Data visualization", "Schema design", "Data formats", "Root cause analysis", "Robotics", "3D geometry", "Coordinate frames", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Sensor fusion", "Data versioning", "Schema migration", "0->1 environments" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 598.1687, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d7c74d8ee00a09791d3", "title" : "Data Quality Engineer", "company" : "Gradera", "industry" : "AI Native - Delivery", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Quality Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, India Office ", "locations" : [ "Hyderabad, India Office " ], "timestamp" : "2026-06-15T13:00:41.110", "fingerprint" : "15fbb2cdafb5e0770570b9f5661a2a7bdac3113e09ab8f0e6c03c6e76f886ed0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gradera/13c8109f-9ec9-4026-ba28-362313ca1ff8/application", "externalId" : "13c8109f-9ec9-4026-ba28-362313ca1ff8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Delta Live Tables, Great Expectations, Databricks SQL, PySpark, Unity Catalog, Python, Delta Lake, Iceberg, Neo4j", "professionalSkills" : [ "Data profiling", "Root cause analysis", "Data governance" ], "hardSkillsList" : [ "Data validation", "Anomaly detection", "Statistical analysis" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data quality, Data engineering, ML/AI platforms", "majorSkillsList" : [ "Data quality", "Data engineering", "ML/AI platforms" ], "coreResponsibilities" : "Design data quality frameworks, Implement data quality frameworks, Build automated validation pipelines, Enforce quality standards, Develop data profiling processes, Understand data distributions, Understand data patterns, Understand data anomalies, Define data quality metrics, Track data quality metrics, Implement anomaly detection mechanisms, Identify data drift, Identify quality degradation, Create quality dashboards, Create alerting systems, Collaborate with data engineers, Embed quality checks, Partner with data architects, Establish data quality standards, Establish governance policies, Investigate data quality issues, Perform root cause analysis, Document data quality rules, Document thresholds, Document remediation procedures, Support data certification processes, Drive continuous improvement", "teamCollaboration" : "Data engineers; Data architects; Cross-functional teams", "domainKnowledge" : "Digital twin platforms; Simulation platforms; Operational state data; Temporal consistency; Graph data; ML data quality; Industrial domains", "domainList" : [ "digital-twin-platforms", "simulation-platforms", "operational-state-data", "temporal-consistency", "graph-data", "ml-data-quality", "industrial-domains" ], "domainSpecificKnowledge" : [ "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains" ], "toolProficiency" : [ "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "documentationSkills" : "Document data quality rules; Document thresholds; Document remediation procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Simulation-ready data products; ML-ready datasets", "qualificationsBasic" : "6+ years experience, 3+ years data quality, Data quality frameworks, Automated validation pipelines, Quality metrics, SQL proficiency, Python proficiency", "qualificationsPreferred" : "6+ years experience, 3+ years data quality, Enterprise-scale data quality frameworks, Lakehouse architectures, Real-time data quality monitoring, Agile, cross-functional teams, Data quality for digital twin, Simulation platforms, Operational state data validation, Temporal consistency checks, Graph data quality validation, ML data quality, Feature validation, Training data quality, Data observability platforms, Industrial domains experience", "rawDescription" : "ABOUT GRADERA Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. OVERVIEW We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. KEY RESPONSIBILITIES - Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations - Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages - Develop data profiling processes to understand data distributions, patterns, and anomalies - Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) - Implement anomaly detection mechanisms to identify data drift and quality degradation - Create quality dashboards and alerting systems for proactive issue identification - Collaborate with data engineers to embed quality checks into ETL/ELT pipelines - Partner with data architects to establish data quality standards and governance policies - Investigate and perform root cause analysis for data quality issues - Document data quality rules, thresholds, and remediation procedures - Support data certification processes for simulation-ready and ML-ready datasets - Drive continuous improvement in data quality practices and tooling OUR CORE DATA QUALITY STACK INCLUDES: Data Quality Frameworks - Delta Live Tables expectations for declarative quality enforcement - Great Expectations for comprehensive data validation - Databricks data profiling and quality monitoring Platform & Tools - Databricks SQL and PySpark for quality checks at scale - Unity Catalog for lineage tracking and governance compliance - Python for custom validation logic and anomaly detection OBSERVABILITY - Quality metrics dashboards and alerting - Data profiling and statistical analysis - Anomaly detection and drift monitoring PREFERRED QUALIFICATIONS - 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality - Track record of implementing enterprise-scale data quality frameworks - Experience with Lakehouse architectures (Delta Lake, Iceberg) - Familiarity with real-time data quality monitoring for streaming pipelines - Experience working in agile, cross-functional teams HIGHLY DESIRABLE - Experience with data quality for digital twin or simulation platforms - Familiarity with operational state data validation and temporal consistency checks - Experience with graph data quality validation (Neo4j or similar) - Exposure to ML data quality (feature validation, training data quality) - Experience with data observability platforms - Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus", "summaryDescription" : "Data Quality Engineer at Gradera. Skills: Data quality, Data engineering, ML/AI platforms. Design data quality frameworks. Implement data quality frameworks", "createdAt" : "2026-06-13T23:13:08.257", "lastUpdated" : "2026-06-15T13:00:41.110", "ingestTimestamp" : "2026-06-13T23:13:08.257", "mongoId" : "6a2c8d7c74d8ee00a09791d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data validation", "Anomaly detection", "Statistical analysis", "Data quality", "Data engineering", "ML/AI platforms", "Data profiling", "Root cause analysis", "Data governance", "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains", "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 597.2553, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a5bc174d8ee00a0611a69", "title" : "Director, Data Strategy and Data Governance", "company" : "Velir", "salary" : { "min" : 185000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T22:18:09.865", "fingerprint" : "8465112755ecef0f6801b66a451f41857aae562efb1ac5670caf95f1f2dbfdc1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5238711008", "externalId" : "5238711008", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceLevel" : "Director", "technicalSkills" : "Data warehousing, Orchestration, Data engineering, Data catalogs", "professionalSkills" : [ "Data strategy", "Data governance", "Data management", "Enterprise data strategies", "Governance frameworks", "Metadata management", "MDM", "Data stewardship", "Access controls", "Monetization", "Risk management", "Organizational enablement", "Data transformation", "Platform architecture", "Account performance" ], "hardSkillsList" : [ "Data quality", "Observability", "Compliance" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data strategy, Data governance", "majorSkillsList" : [ "Data strategy", "Data governance" ], "coreResponsibilities" : "Lead enterprise data strategies aligned to client business, Design and implement scalable governance frameworks spanning data, Advise executive stakeholders on making data a strategic, Serve as the primary executive partner to senior, Translate complex business challenges into actionable data strategies, Lead new business efforts including RFP responses, proposals,, Drive account growth and contribute to go-to-market strategy,, Represent the organization through speaking engagements, industry events,, Align strategy, governance, and execution across data, project, Integrate governance principles into platform architecture and collaborate, Oversee delivery of data strategy and governance engagements,, Lead and mentor a team of managers and", "teamCollaboration" : "Cross-functional teams; Client services teams", "domainKnowledge" : "Cloud-native warehousing; Row-level security; Role-based access control", "domainList" : [ "cloud-native-warehousing", "row-level-security", "role-based-access-control" ], "domainSpecificKnowledge" : [ "Cloud-native warehousing", "Row-level security", "Role-based access control" ], "communicationSkills" : "Executive presentations; Client presentations", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Drive business value; Enable decision-making; Maintain compliance; Maintain quality; Maintain trust", "qualificationsBasic" : "10+ years of experience in data strategy, governance, or data management, Proven track record leading enterprise-scale initiatives, Experience engaging executive stakeholders, Leadership and team management experience, Background in analytics, engineering, data science, or related roles, Excellent communication (written and verbal) and problem-solving skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Director, Data Strategy & Data Governance is responsible for leading data engagements across a diverse set of clients. This role stretches from expertise on data stack architecture to data team organizational structure to ensuring data products and assets drive tangible outcomes. The role will also serve as the leading subject matter expert on enterprise data strategies and governance frameworks. The core function of this role is to make data a strategic asset for clients by driving business value, enabling decision-making, and maintaining compliance, quality, and trust. As a senior leader, the Director serves as the primary executive partner to clients, owning relationships at the C-suite level and guiding organizations through data transformation initiatives. This role is accountable for aligning data strategy with business objectives, establishing governance operating models, and ensuring successful execution across cross-functional teams. In addition, this role leads an important function within the Data organization and plays a key role in facilitating business development, engaging in thought leadership, and supporting strategic partnerships. The right candidate for this role is eager to dig into the specifics of the data generating process of a source system as they are to explain the differences between row-level security (RLS) and role-based access control. Responsibilities Data Strategy & Governance Leadership Lead enterprise data strategies aligned to client business objectives and digital transformation goals Design and implement scalable governance frameworks spanning data quality, metadata, MDM, stewardship, and access controls Advise executive stakeholders on making data a strategic asset through monetization, risk management, and organizational enablement Executive Client Leadership & Advisory Serve as the primary executive partner to senior client stakeholders, including CDOs and CIOs Translate complex business challenges into actionable data strategies and present recommendations to executive audiences Business Development & Thought Leadership Lead new business efforts including RFP responses, proposals, and client presentations Drive account growth and contribute to go-to-market strategy, partnerships, and service development Represent the organization through speaking engagements, industry events, and publications Cross-Functional Leadership Align strategy, governance, and execution across data, project management, and client services teams Integrate governance principles into platform architecture and collaborate with finance and leadership on account performance Engagement Oversight & Delivery Excellence Oversee delivery of data strategy and governance engagements, ensuring quality, timeliness, and client satisfaction Lead and mentor a team of managers and senior leaders, fostering growth and high performance Technical & Domain Expertise Deep expertise in modern data ecosystems including cloud-native warehousing, orchestration, data engineering, and catalogs Strong command of governance disciplines — data quality, observability, metadata, MDM, and compliance — with the ability to balance technical and business priorities Qualifications 10+ years of experience in data strategy, governance, or data management Proven track record leading enterprise-scale initiatives Experience engaging executive stakeholders Demonstrable expertise in tools and platforms belonging to the modern data stack Strong leadership and team management experience Background in analytics, engineering, data science, or related roles Excellent communication (written and verbal) and problem-solving skills Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $185,000 - $200,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Director, Data Strategy and Data Governance at Velir. Skills: Data strategy, Data governance. Lead enterprise data strategies aligned to client business. Design and implement scalable governance frameworks spanning data", "postedDate" : "2026-06-11T22:09:37.654", "createdAt" : "2026-06-11T22:09:37.654", "lastUpdated" : "2026-06-14T22:18:09.865", "ingestTimestamp" : "2026-06-11T22:09:37.654", "mongoId" : "6a2a5bc174d8ee00a0611a69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 185000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data quality", "Observability", "Compliance", "Leadership", "Mentoring", "Data strategy", "Data governance", "Data management", "Enterprise data strategies", "Governance frameworks", "Metadata management", "MDM", "Data stewardship", "Access controls", "Monetization", "Risk management", "Organizational enablement", "Data transformation", "Platform architecture", "Account performance", "Cloud-native warehousing", "Row-level security", "Role-based access control" ], "skillCount" : 23, "jobCategory" : "other", "jobSubcategory" : "data-solutions", "dataQualityScore" : 0.8888889, "_score" : 596.24646, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c7f6774d8ee00a09554f8", "title" : "Product Manager, Monitoring and Reliability Product", "company" : "Recruitis", "industry" : "Technology", "salary" : { "min" : 1800000.0, "max" : 3000000.0, "currency" : "THB", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Product Manager in the Technology industry in Bangkok, Thailand, adjusted for manager experience and full-time employment." }, "location" : "Bangkok, Bangkok Metropolis, Thailand", "locations" : [ "Bangkok", "Bangkok Metropolis", "Thailand" ], "timestamp" : "2026-06-15T08:37:18.674", "fingerprint" : "e510b450475bf40464b1991f8d4af65c9fe7f62de11311ceeb35b07e8d0d5e3e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/recruitis/jobs/8514592002", "externalId" : "8514592002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangkok", "state" : "Bangkok Metropolis", "country" : "Thailand", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.7365376,100.5735098" } ], "locationText" : "Bangkok, Bangkok Metropolis, Thailand", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Monitoring, Tracing, Alerting, Incident management, System visibility, Logs, Metrics, Dashboards, Alerts, Incident workflows", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "hardSkillsList" : [ "Software engineering", "SRE", "Infrastructure engineering", "Platform engineering", "Operations" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "SRE", "level" : "intermediate" }, { "name" : "Infrastructure engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Operations", "level" : "intermediate" } ], "majorSkills" : "Product Management, Monitoring, Reliability, Incident Management", "majorSkillsList" : [ "Product Management", "Monitoring", "Reliability", "Incident Management" ], "coreResponsibilities" : "Own roadmap for monitoring, Drive roadmap for tracing, Drive roadmap for alerting, Drive roadmap for incident management, Partner with engineering teams, Partner with operational teams, Identify pain points, Prioritize improvements, Define internal platform capabilities, Evolve internal platform capabilities, Work closely with technical teams, Balance reliability, Balance scalability, Balance speed, Balance usability, Define success metrics, Measure platform impact, Measure adoption, Measure uptime, Measure incident response, Measure operational efficiency, Translate technical requirements, Create product plans, Create priorities, Create execution roadmaps, Support change management, Help teams adopt capabilities", "teamCollaboration" : "Engineering teams; Operational teams; Technical teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Distributed systems; Operational excellence; System health; Service monitoring; Large-scale systems; System reliability concepts", "domainList" : [ "distributed-systems", "operational-excellence", "system-health", "service-monitoring", "large-scale-systems", "system-reliability-concepts" ], "domainSpecificKnowledge" : [ "Distributed systems", "Operational excellence", "System health", "Service monitoring", "Large-scale systems", "System reliability concepts" ], "communicationSkills" : "Technical requirements", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Reduce downtime", "qualificationsBasic" : "5+ years of experience, Prior hands-on experience, Understanding of monitoring concepts, Comfortable working closely with technical teams, Communication skills, Analytical skills, Problem-solving skills, Comfortable operating in complex environments", "rawDescription" : "About our client Our client is a global technology organisation with complex distributed systems and a strong focus on operational excellence. The company is investing in internal capabilities that help engineering teams better understand system health, improve reliability, and respond to production issues more effectively. About the Role We are looking for a Tech Product Manager to lead internal tools initiatives related to monitoring, tracing, incident management, and system visibility. You will work closely with engineering and operational teams to define and improve the tools, workflows, and platforms used to monitor services, detect issues, and reduce downtime. This role is ideal for someone who enjoys working on improving tech operations and has experience helping technical teams operate and support large-scale systems. Responsibilities Own and drive the roadmap for monitoring, tracing, alerting, and incident management capabilities. Partner with engineering and operational teams to identify pain points and prioritize high-impact improvements. Define and evolve internal platform capabilities related to logs, metrics, traces, dashboards, alerts, and incident workflows. Work closely with technical teams to balance reliability, scalability, speed, and usability. Define success metrics and measure platform impact, adoption, uptime, incident response, and operational efficiency. Translate technical requirements into product plans, priorities, and execution roadmaps. Support change management and help teams adopt new platform capabilities successfully. Qualifications 5+ years of experience in Product Management or a similarly technical role. Prior hands-on experience in software engineering/SRE, infrastructure, platform engineering, operations, or related technical environments. Strong understanding of monitoring, observability, logging, tracing, alerting, incident management, and system reliability concepts. Comfortable working closely with technical teams on roadmap, architecture, and delivery. Strong communication, analytical, and problem-solving skills. Comfortable operating in complex, fast-moving, and highly technical environments.", "summaryDescription" : "Product Manager, Monitoring and Reliability Product at Recruitis. Skills: Product Management, Monitoring, Reliability, Incident Management. Own roadmap for monitoring. Drive roadmap for tracing", "postedDate" : "2026-06-14T08:42:13.678", "createdAt" : "2026-06-14T08:42:13.678", "lastUpdated" : "2026-06-15T08:37:18.674", "ingestTimestamp" : "2026-06-14T08:42:13.678", "mongoId" : "6a2c7f6774d8ee00a09554f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "SRE", "Infrastructure engineering", "Platform engineering", "Operations", "Product Management", "Monitoring", "Reliability", "Incident Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Roadmap planning", "Distributed systems", "Operational excellence", "System health", "Service monitoring", "Large-scale systems", "System reliability concepts" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 591.249, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69fa31584c40e2acd15a920b", "title" : "SoC Validation Associate, SSG", "company" : "ADCI", "industry" : "Hardware Development, ASIC, alexa and amazon devices", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level SoC Validation Associate in Bengaluru, India, adjusted for the technology industry and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T01:57:32.221", "fingerprint" : "419a10136d4263aee5caa80269a80b959560dfe9e359bab39a3922198bde3c72", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411582/apply", "externalId" : "ad775eff-8fe4-43a3-b4e2-e8b27c066c73", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Diploma or Bachelor's degree", "experienceMinYears" : 3, "technicalSkills" : "Python, Shell scripts, Perl", "professionalSkills" : [ "System architecture", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making" ], "hardSkillsList" : [ "Board-level rework", "Component soldering", "Component desoldering", "Wire modifications", "Connector replacements", "Lab equipment setup", "Lab equipment operation", "Silicon validation", "Silicon debug", "Test script execution", "Validation test execution", "Emulation platform testing", "Prototyping platform testing", "Silicon platform testing", "Silicon bringup", "Power sequencing verification", "Clock measurement", "Functional checkout", "Lab test setup", "Prototype hardware platform", "Board-level debug", "Probing signals", "Capturing waveforms", "Documenting observations", "Lab inventory maintenance", "Equipment calibration", "Lab safety compliance", "Test result documentation", "Rework procedure documentation", "Debug finding documentation", "Automation scripting", "Motherboard design", "PCB design", "Schematic capture", "Circuit board layout", "Test plan development", "Test design development", "Test strategy development", "Test execution", "Reading schematics", "Understanding drawings", "Analytical skills", "Troubleshooting technical systems", "Debugging technical systems", "Bash scripting", "Shell scripting", "Perl programming", "Python programming", "Post-silicon validation", "ARM-based development", "Embedded platforms", "JTAG", "SWD", "UART", "I2C", "SPI", "Thermal testing", "Power measurement", "Reliability testing", "Version control", "Issue tracking", "Bare-metal firmware loading", "Boot flow debug", "ESD-safe handling", "Cleanroom protocols", "Lab protocols" ], "softSkillsList" : [ "Effective communication" ], "hardSkills" : [ { "name" : "Board-level rework", "level" : "intermediate" }, { "name" : "Component soldering", "level" : "intermediate" }, { "name" : "Component desoldering", "level" : "intermediate" }, { "name" : "Wire modifications", "level" : "intermediate" }, { "name" : "Connector replacements", "level" : "intermediate" }, { "name" : "Lab equipment setup", "level" : "intermediate" }, { "name" : "Lab equipment operation", "level" : "intermediate" }, { "name" : "Silicon validation", "level" : "intermediate" }, { "name" : "Silicon debug", "level" : "intermediate" }, { "name" : "Test script execution", "level" : "intermediate" }, { "name" : "Validation test execution", "level" : "intermediate" }, { "name" : "Emulation platform testing", "level" : "intermediate" }, { "name" : "Prototyping platform testing", "level" : "intermediate" }, { "name" : "Silicon platform testing", "level" : "intermediate" }, { "name" : "Silicon bringup", "level" : "intermediate" }, { "name" : "Power sequencing verification", "level" : "intermediate" }, { "name" : "Clock measurement", "level" : "intermediate" }, { "name" : "Functional checkout", "level" : "intermediate" }, { "name" : "Lab test setup", "level" : "intermediate" }, { "name" : "Prototype hardware platform", "level" : "intermediate" }, { "name" : "Board-level debug", "level" : "intermediate" }, { "name" : "Probing signals", "level" : "intermediate" }, { "name" : "Capturing waveforms", "level" : "intermediate" }, { "name" : "Documenting observations", "level" : "intermediate" }, { "name" : "Lab inventory maintenance", "level" : "intermediate" }, { "name" : "Equipment calibration", "level" : "intermediate" }, { "name" : "Lab safety compliance", "level" : "intermediate" }, { "name" : "Test result documentation", "level" : "intermediate" }, { "name" : "Rework procedure documentation", "level" : "intermediate" }, { "name" : "Debug finding documentation", "level" : "intermediate" }, { "name" : "Automation scripting", "level" : "intermediate" }, { "name" : "Motherboard design", "level" : "intermediate" }, { "name" : "PCB design", "level" : "intermediate" }, { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "Circuit board layout", "level" : "intermediate" }, { "name" : "Test plan development", "level" : "intermediate" }, { "name" : "Test design development", "level" : "intermediate" }, { "name" : "Test strategy development", "level" : "intermediate" }, { "name" : "Test execution", "level" : "intermediate" }, { "name" : "Reading schematics", "level" : "intermediate" }, { "name" : "Understanding drawings", "level" : "intermediate" }, { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Troubleshooting technical systems", "level" : "intermediate" }, { "name" : "Debugging technical systems", "level" : "intermediate" }, { "name" : "Bash scripting", "level" : "intermediate" }, { "name" : "Shell scripting", "level" : "intermediate" }, { "name" : "Perl programming", "level" : "intermediate" }, { "name" : "Python programming", "level" : "intermediate" }, { "name" : "Post-silicon validation", "level" : "intermediate" }, { "name" : "ARM-based development", "level" : "intermediate" }, { "name" : "Embedded platforms", "level" : "intermediate" }, { "name" : "JTAG", "level" : "intermediate" }, { "name" : "SWD", "level" : "intermediate" }, { "name" : "UART", "level" : "intermediate" }, { "name" : "I2C", "level" : "intermediate" }, { "name" : "SPI", "level" : "intermediate" }, { "name" : "Thermal testing", "level" : "intermediate" }, { "name" : "Power measurement", "level" : "intermediate" }, { "name" : "Reliability testing", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Issue tracking", "level" : "intermediate" }, { "name" : "Bare-metal firmware loading", "level" : "intermediate" }, { "name" : "Boot flow debug", "level" : "intermediate" }, { "name" : "ESD-safe handling", "level" : "intermediate" }, { "name" : "Cleanroom protocols", "level" : "intermediate" }, { "name" : "Lab protocols", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Effective communication" } ], "majorSkills" : "SoC Validation, Hardware Development, Lab Operations", "majorSkillsList" : [ "SoC Validation", "Hardware Development", "Lab Operations" ], "coreResponsibilities" : "Perform board-level rework, Solder components, Desolder components, Perform wire modifications, Replace connectors, Set up lab equipment, Operate lab equipment, Execute pre-defined test scripts, Execute validation test plans, Assist silicon bringup, Verify power sequencing, Measure clocks, Perform basic functional checkout, Build lab test setups, Configure lab test setups, Maintain lab test setups, Build prototype hardware platforms, Configure prototype hardware platforms, Maintain prototype hardware platforms, Perform board-level debug, Probe signals, Capture waveforms, Document observations, Maintain lab inventory, Manage equipment calibration, Ensure lab safety compliance, Document test results, Document rework procedures, Document debug findings, Support automation of lab tasks", "teamCollaboration" : "Collaborating across teams", "projectManagementSkills" : [ "Test plan development", "Test design development", "Test strategy development" ], "domainKnowledge" : "Silicon IP; ML accelerator; System architecture; System dynamics; System analysis; Statistical analysis; Reliability analysis; Electronic system design; ARM-based development; Embedded platforms; Bare-metal firmware; Boot flow", "domainList" : [ "silicon-ip", "ml-accelerator", "system-architecture", "system-dynamics", "system-analysis", "statistical-analysis", "reliability-analysis", "electronic-system-design", "arm-based-development", "embedded-platforms", "bare-metal-firmware", "boot-flow" ], "domainSpecificKnowledge" : [ "Silicon IP", "ML accelerator", "System architecture", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "ARM-based development", "Embedded platforms", "Bare-metal firmware", "Boot flow" ], "toolProficiency" : [ "Oscilloscope", "Logic analyzers", "Multimeters", "Signal generators", "DC power supplies", "Git", "JIRA" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documenting procedures; Documenting findings", "innovationCreativity" : "Innovate on behalf of customers", "problemSolvingSkills" : "Troubleshooting; Debugging", "qualificationsBasic" : "3+ years hardware development experience, 3+ years test lab experience, 3+ years hands-on engineering environment experience, Motherboard design experience, PCB design experience, Schematic capture experience, Circuit board layout experience, High quality test plans development, High quality test designs development, High quality test strategies development, High quality test execution development, System architecture knowledge, Optimization knowledge, System dynamics knowledge, System analysis knowledge, Statistical analysis knowledge, Reliability analysis knowledge, Electronic system design knowledge, Decision making knowledge, Reading schematics experience, Understanding building drawings experience, Analytical skills experience, Effective communication abilities experience, Troubleshooting technical systems experience, Debugging technical systems experience, Automation via Bash scripting, Automation via shell scripting, Automation via Perl programming, Automation via Python programming, Diploma or Bachelor's degree", "qualificationsPreferred" : "Post-silicon validation experience, Familiarity with ARM-based development boards, Familiarity with embedded platforms, Experience with JTAG, Experience with SWD, Experience with UART, Experience with I2C, Experience with SPI, Exposure to thermal testing, Exposure to power measurement, Exposure to reliability testing setups, Experience with version control systems, Experience with issue tracking tools, Familiarity with bare-metal firmware loading, Familiarity with basic boot flow debug, Knowledge of ESD-safe handling procedures, Knowledge of cleanroom lab protocols, Written communication skills, Verbal communication skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The team that built the innovative Silicon IP AZ1 Neural Edge powering the latest generation of Echo devices is looking for an SoC Lab Validation Technician to support post-silicon validation and lab operations as we continue to innovate on behalf of our customers. We are part of Amazon Lab126 that revolutionized reading with Kindle and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. Key job responsibilities Perform board-level rework on SoC development and validation platforms, including component soldering, desoldering, wire modifications, and connector replacements Set up and operate lab equipment such as DC power supplies, oscilloscopes, logic analyzers, multimeters, and signal generators for silicon validation and debug Execute pre-defined test scripts and validation test plans on emulation, prototyping, and early silicon platforms Assist in silicon bringup activities including power sequencing verification, clock measurement, and basic functional checkout Build, configure, and maintain lab test setups and prototype hardware platforms Perform board-level debug under the guidance of senior validation engineers, including probing signals, capturing waveforms, and documenting observations Maintain lab inventory, manage equipment calibration schedules, and ensure lab safety compliance Document test results, rework procedures, and debug findings in a clear and structured manner Support automation of repetitive lab tasks using basic scripting (Python, shell scripts) Basic Qualifications: - 3+ years of hardware development, test lab, space/aerospace maintenance or hands-on engineering environment experience - Experience in motherboard design, PCB design including schematic capture, stackup and circuit board layout - Knowledge of tools and measurement devices (oscilloscope, frequency analyzer, or equivalent) - Experience developing high quality test plans, test designs, test strategies, and test execution - Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making - Experience in reading and understanding schematics and building drawings - Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience troubleshooting and debugging technical systems - Experience in automation via Bash/shell scripting and Perl/Python programming - Diploma or Bachelor's degree in Electronics, Electrical Engineering, Electronics & Communication, or a related discipline Preferred Qualifications: - Experience with post-silicon validation - Familiarity with ARM-based development boards or embedded platforms - Experience with JTAG, SWD, UART, I2C, SPI, or other common debug/communication interfaces - Exposure to thermal testing, power measurement, or reliability testing setups - Experience with version control systems (Git) and issue tracking tools - Familiarity with bare-metal firmware loading and basic boot flow debug - Knowledge of ESD-safe handling procedures and cleanroom/lab protocols - Strong written and verbal communication skills for documenting procedures and collaborating across teams Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "SoC Validation Associate, SSG at ADCI. Skills: SoC Validation, Hardware Development, Lab Operations. Perform board-level rework. Solder components", "postedDate" : "2026-06-14T19:31:30.295", "createdAt" : "2026-06-14T19:31:30.295", "lastUpdated" : "2026-06-16T01:57:32.221", "ingestTimestamp" : "2026-06-14T19:31:30.295", "mongoId" : "69fa31584c40e2acd15a920b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10411582/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Board-level rework", "Component soldering", "Component desoldering", "Wire modifications", "Connector replacements", "Lab equipment setup", "Lab equipment operation", "Silicon validation", "Silicon debug", "Test script execution", "Validation test execution", "Emulation platform testing", "Prototyping platform testing", "Silicon platform testing", "Silicon bringup", "Power sequencing verification", "Clock measurement", "Functional checkout", "Lab test setup", "Prototype hardware platform", "Board-level debug", "Probing signals", "Capturing waveforms", "Documenting observations", "Lab inventory maintenance", "Equipment calibration", "Lab safety compliance", "Test result documentation", "Rework procedure documentation", "Debug finding documentation", "Automation scripting", "Motherboard design", "PCB design", "Schematic capture", "Circuit board layout", "Test plan development", "Test design development", "Test strategy development", "Test execution", "Reading schematics", "Understanding drawings", "Analytical skills", "Troubleshooting technical systems", "Debugging technical systems", "Bash scripting", "Shell scripting", "Perl programming", "Python programming", "Post-silicon validation", "ARM-based development", "Embedded platforms", "JTAG", "SWD", "UART", "I2C", "SPI", "Thermal testing", "Power measurement", "Reliability testing", "Version control", "Issue tracking", "Bare-metal firmware loading", "Boot flow debug", "ESD-safe handling", "Cleanroom protocols", "Lab protocols", "Effective communication", "SoC Validation", "Hardware Development", "Lab Operations", "System architecture", "System dynamics", "System analysis", "Statistical analysis", "Reliability analysis", "Electronic system design", "Decision making", "Silicon IP", "ML accelerator", "Bare-metal firmware", "Boot flow", "Oscilloscope", "Logic analyzers", "Multimeters", "Signal generators", "DC power supplies", "Git", "JIRA" ], "skillCount" : 88, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 590.81604, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ed74d8ee00a0986e2a", "title" : "Monitoring / AIOps Engineer", "company" : "Xebia", "industry" : "Technology", "salary" : { "min" : 140000.0, "max" : 200000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AIOps Engineer in Poland, adjusted for the technology industry and a mid-sized company." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T08:01:01.537", "fingerprint" : "e62914972c0e981e8287dadc26c8b19babdde48a7eee663b2517df78dc12f712", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/5996092004", "externalId" : "5996092004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Datadog, Splunk, AppDynamics, Prometheus, Grafana, ELK, OpenTelemetry, Python, Bash, AWS, Azure, GCP, Jaeger, Zipkin", "professionalSkills" : [ "Observability engineering", "AIOps engineering", "Capacity planning", "Performance trending" ], "hardSkillsList" : [ "Log aggregation", "Metric collection", "Distributed tracing", "Alerting rules tuning", "SLO-based dashboards", "Service health reporting", "Anomaly detection agents" ], "hardSkills" : [ { "name" : "Log aggregation", "level" : "intermediate" }, { "name" : "Metric collection", "level" : "intermediate" }, { "name" : "Distributed tracing", "level" : "intermediate" }, { "name" : "Alerting rules tuning", "level" : "intermediate" }, { "name" : "SLO-based dashboards", "level" : "intermediate" }, { "name" : "Service health reporting", "level" : "intermediate" }, { "name" : "Anomaly detection agents", "level" : "intermediate" } ], "majorSkills" : "Monitoring, AIOps, Observability, Cloud-native monitoring", "majorSkillsList" : [ "Monitoring", "AIOps", "Observability", "Cloud-native monitoring" ], "coreResponsibilities" : "Maintain monitoring configurations, Improve monitoring configurations, Build alerting rules, Tune alerting rules, Create SLO-based dashboards, Maintain SLO-based dashboards, Create service health reporting, Maintain service health reporting, Implement log aggregation, Implement metric collection, Implement distributed tracing, Support AI agents deployment, Support AI agents tuning, Collaborate with SRE teams, Automate monitoring onboarding, Provide CET-timezone coverage, Participate in capacity planning, Participate in performance trending, Document monitoring standards, Contribute to knowledge base", "teamCollaboration" : "SRE Engineering teams; European delivery model", "domainKnowledge" : "SLI/SLO/SLA frameworks; AI-powered correlation; Anomaly detection; Monitoring-as-code; Large-scale environments; Multi-cloud environments", "domainList" : [ "sli-slo-sla-frameworks", "ai-powered-correlation", "anomaly-detection", "monitoring-as-code", "large-scale-environments", "multi-cloud-environments" ], "domainSpecificKnowledge" : [ "SLI/SLO/SLA frameworks", "AI-powered correlation", "Anomaly detection", "Monitoring-as-code", "Large-scale environments", "Multi-cloud environments" ], "toolProficiency" : [ "Datadog", "Splunk", "AppDynamics", "Prometheus", "Grafana", "ELK", "OpenTelemetry", "Jaeger", "Zipkin", "Terraform", "Ansible", "Claude Code", "GitHub Copilot", "Cursor" ], "communicationSkills" : "English communication", "documentationSkills" : "Documenting standards; Internal knowledge base", "continuousLearning" : "Personal development budgets; Guilds; Labs", "innovationCreativity" : "Emerging AI-driven practices; Agent-based workflows; AI-augmented development", "problemSolvingSkills" : "Reduce noise; Improve signal quality; Root cause analysis", "specialRequirements" : "Work from EU region, Work permit required", "qualificationsBasic" : "3-5 years experience, Practical AI assistant experience, Hands-on Datadog experience, Hands-on Splunk experience, Hands-on AppDynamics experience, Experience with metrics pipelines, Experience with logs pipelines, Experience with tracing pipelines, Proficiency in Python, Proficiency in Bash, Experience with AWS monitoring, Experience with Azure monitoring, Experience with GCP monitoring, Knowledge of alert correlation, Knowledge of noise reduction, Good English communication", "qualificationsPreferred" : "Experience applying GenAI, Interest in AI-driven practices, Experience with AIOps platforms, Experience with ML anomaly detection, Familiarity with monitoring-as-code, Knowledge of distributed tracing tools, Experience in multi-cloud environments", "remoteFriendly" : true, "rawDescription" : "Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: maintaining and improving monitoring configurations across Datadog, Splunk, and AppDynamics, building and tuning alerting rules to reduce noise and improve signal quality, creating and maintaining SLO-based dashboards and service health reporting, implementing log aggregation, metric collection, and distributed tracing pipelines, supporting deployment and tuning of AI-powered correlation and anomaly detection agents, collaborating with SRE Engineering teams on observability maturity progression initiatives, automating monitoring onboarding for new applications, providing CET-timezone monitoring engineering coverage as part of the European delivery model, participating in capacity planning and performance trending analysis, documenting monitoring standards and contributing to the internal knowledge base. Your profile: 3–5 years of experience in monitoring, observability, or AIOps engineering, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, hands-on experience with Datadog, Splunk, or similar observability platforms, experience working with metrics, logs, and tracing pipelines using tools such as Prometheus, Grafana, ELK, or OpenTelemetry, understanding of SLI/SLO/SLA frameworks, proficiency in scripting languages such as Python or Bash for automation, experience with cloud-native monitoring in AWS, Azure, or GCP environments, knowledge of alert correlation and noise reduction techniques, good English communication skill (at least B2 level). Work from the European Union region and a work permit are required. Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g., agent-based workflows, automation patterns, AI- augmented development), with a willingness to explore and experiment beyond standard approaches, experience with AIOps platforms or ML-based anomaly detection, familiarity with monitoring-as-code approaches using Terraform or Ansible, knowledge of distributed tracing tools such as Jaeger, Zipkin, or OpenTelemetry, experience in large-scale, multi-cloud environments. Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Decision", "summaryDescription" : "Monitoring / AIOps Engineer at Xebia. Skills: Monitoring, AIOps, Observability, Cloud-native monitoring. Maintain monitoring configurations. Improve monitoring configurations", "postedDate" : "2026-06-13T22:39:24.077", "createdAt" : "2026-06-13T22:39:24.077", "lastUpdated" : "2026-06-15T08:01:01.537", "ingestTimestamp" : "2026-06-13T22:39:24.077", "mongoId" : "6a2c92ed74d8ee00a0986e2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Log aggregation", "Metric collection", "Distributed tracing", "Alerting rules tuning", "SLO-based dashboards", "Service health reporting", "Anomaly detection agents", "Monitoring", "AIOps", "Observability", "Cloud-native monitoring", "Observability engineering", "AIOps engineering", "Capacity planning", "Performance trending", "SLI/SLO/SLA frameworks", "AI-powered correlation", "Anomaly detection", "Monitoring-as-code", "Large-scale environments", "Multi-cloud environments", "Datadog", "Splunk", "AppDynamics", "Prometheus", "Grafana", "ELK", "OpenTelemetry", "Jaeger", "Zipkin", "Terraform", "Ansible", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 585.80444, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a678074d8ee00a063049a", "title" : "Validation Engineer", "company" : "Syner-G", "industry" : "Biopharma", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Validation Engineer in Boston, MA, adjusted for the Biotech industry and typical company size." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-14T20:50:31.641", "fingerprint" : "ff964388062908ad458d5c6e5eaccc9e6b2332f46d2b2a043b308cfba5c9d8e8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/synerg/jobs/6018746004", "externalId" : "6018746004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "technicalSkills" : "Automation, Engineering design", "professionalSkills" : [ "Quality performance", "Compliance management", "Product development", "Drug discovery", "Process validation", "Validation program" ], "hardSkillsList" : [ "Life cycle documentation", "Validation protocols", "Installation qualification", "Operation qualification", "Performance qualification", "Verification protocols", "Commissioning test procedures", "Validation reports", "Investigation reports", "Change controls" ], "hardSkills" : [ { "name" : "Life cycle documentation", "level" : "intermediate" }, { "name" : "Validation protocols", "level" : "intermediate" }, { "name" : "Installation qualification", "level" : "intermediate" }, { "name" : "Operation qualification", "level" : "intermediate" }, { "name" : "Performance qualification", "level" : "intermediate" }, { "name" : "Verification protocols", "level" : "intermediate" }, { "name" : "Commissioning test procedures", "level" : "intermediate" }, { "name" : "Validation reports", "level" : "intermediate" }, { "name" : "Investigation reports", "level" : "intermediate" }, { "name" : "Change controls", "level" : "intermediate" } ], "majorSkills" : "Validation, Qualification, Documentation", "majorSkillsList" : [ "Validation", "Qualification", "Documentation" ], "coreResponsibilities" : "Generate life cycle documentation, Execute life cycle documentation, Support validation activities, Generate validation life cycle documents, Execute validation life cycle documents, Review validation life cycle documents, Close validation life cycle documents, Write qualification documents, Review qualification documents, Revise qualification documents, Write verification documents, Review verification documents, Revise verification documents, Write validation master plans, Write guidelines, Write execution plans, Write automation documents, Write engineering design documents, Write commissioning documents, Write qualification documents, Write technical documents, Write user requirement specifications, Write functional requirement specifications, Write detailed design specifications, Write factory acceptance test documents, Write verification protocols, Write commissioning test procedures, Write reports, Summarize validation activities, Summarize verification activities, Summarize commissioning activities, Summarize revalidation activities, Summarize reverification activities, Summarize recommissioning activities, Write procedures, Write investigations, Write protocols, Write reports, Write change controls, Support Maintenance departments, Support Engineering departments", "teamCollaboration" : "Client Tech Transfer projects", "domainKnowledge" : "Drug discovery; Biopharma; Product development; Validation program", "domainList" : [ "drug-discovery", "biopharma", "product-development", "validation-program" ], "domainSpecificKnowledge" : [ "Drug discovery", "Biopharma", "Product development", "Validation program" ], "communicationSkills" : "Technical documents", "documentationSkills" : "Life cycle documentation; Validation documents; Qualification documents; Verification documents; Master plans; Guidelines; Execution plans; User requirement specifications; Functional requirement specifications; Detailed design specifications; Factory acceptance test documents; Verification protocols; Commissioning test procedures; Validation reports; Investigation reports; Change controls; Procedures", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Lift up to 25 pounds, Close vision, Adjust focus", "outcomesObjectives" : "Drive overall quality performance; Maintain validation program", "qualificationsBasic" : "Validation Engineer experience, 5+ years experience", "qualificationsPreferred" : "Experience with Basecamp, Experience with client Tech Transfer projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "COMPANY DESCRIPTION: A career here is life-enhancing. At Syner-G, we enable our people to build careers that impact positively on their quality of life. Through our expertise, insight, consulting and management skills, we accelerate breakthrough science and delivery of life-enhancing therapies to more patients. We work across a diverse range of clients and projects, supporting many organizations from the most critical phases of the drug discovery and approval process through to commercialization. It is meaningful, varied and thought-provoking work with a strategic emphasis, a solutions-driven approach and significant, real-world outcomes, from science to delivery/success. To learn more about who we are and what drives us, watch our company video here. Underpinning this mission is a culture that aligns perfectly with what we want to achieve. We enable our people to grow, we support them in their learning and we reward them in so many different ways. In return, they play an instrumental role in maintaining our reputation across the globe as a strategic biopharma product development and delivery partner. Syner-G was recently honored with BioSpace's prestigious \"Best Places to Work\" 2026 award, for the third consecutive year, along with many other award-winning programs to make a career here truly life-enhancing. These recognitions are a testament to our commitment to fostering a positive and engaging work environment for our employees, with a particular emphasis on culture, career growth and development opportunities, financial rewards, leadership and innovation. At Syner-G, we recognize that our team members are our most valuable asset. Join us in shaping the future, where your talents are valued, and your contributions make a meaningful impact. For more information, visit www.Synergbiopharma.com POSITION OVERVIEW: Syner-G is seeking a Validation Engineer to assist with the development and execution of validation protocols for various types of processes. The Validation Engineer will be responsible for driving overall quality performance and compliance throughout the organization by defining, implementing, and maintaining the validation program. KEY RESPONSIBILITIES: (This list is not exhaustive and may be supplemented and changed as necessary.) Generate and execute life cycle documentation (FAT, SAT, IOQ, PQ) for cleaning, shipping, facilities, utilities, systems, equipment, and processes for (re)qualification/(re)verification. Support validation activities for Basecamp and client Tech Transfer projects, including generation, execution, review, and closure of validation life cycle documents (RA, VP, IQ, OQ, PQ, TM, VR). Write, review, and revise a variety of Installation, Operation, and Performance qualification/verification related documents, including any or all of the following: SOPs, validation/verification master plans, guidelines and execution plans, automation, engineering design, commissioning, qualification or other technical documents, user requirement specifications (URS), functional requirement specifications (FRS), detailed design specifications, factory acceptance test documents (FAT), verification protocols, and/or commissioning test procedures. Write reports to summarize validation/verification/commissioning and/or revalidation/verification/commissioning activities. Write procedures, investigations, protocols, reports, change controls, etc., to support the Maintenance and Engineering departments. Perform P reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. TOTAL REWARDS PROGRAM: We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere”. However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India. Applicants must have current work authorization when accepting a position at Syner- G. Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time.", "summaryDescription" : "Validation Engineer at Syner-G. Skills: Validation, Qualification, Documentation. Generate life cycle documentation. Execute life cycle documentation", "postedDate" : "2026-06-11T18:08:48.351", "createdAt" : "2026-06-11T18:08:48.351", "lastUpdated" : "2026-06-14T20:50:31.641", "ingestTimestamp" : "2026-06-11T18:08:48.351", "mongoId" : "6a2a678074d8ee00a063049a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Life cycle documentation", "Validation protocols", "Installation qualification", "Operation qualification", "Performance qualification", "Verification protocols", "Commissioning test procedures", "Validation reports", "Investigation reports", "Change controls", "Validation", "Qualification", "Documentation", "Quality performance", "Compliance management", "Product development", "Drug discovery", "Process validation", "Validation program", "Biopharma" ], "skillCount" : 20, "jobCategory" : "operations", "jobSubcategory" : "gmp-&-operations", "dataQualityScore" : 0.7777778, "_score" : 584.94275, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biopharma" }, { "id" : "6a306724f292fd229cfb9ac9", "title" : "Evidence and Insights Manager", "company" : "Girl Effect", "industry" : "Media", "salary" : { "min" : 3800000.0, "max" : 6500000.0, "currency" : "KES", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Evidence and Insights Manager in Kenya, adjusted for the non-profit industry and contract employment type." }, "location" : "Kenya", "locations" : [ "Kenya" ], "timestamp" : "2026-06-16T06:58:42.744", "fingerprint" : "fe282112e60fdd0b35eb9991d7b1a64b9dc9a306eafa3ea496f05e08adbd32f2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/girleffect/jobs/8591795002", "externalId" : "8591795002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Kenya", "continent" : "af", "workMode" : "onsite" } ], "locationText" : "Kenya", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceLevel" : "Manager", "professionalSkills" : [ "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Data analysis", "Reporting", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management" ], "hardSkillsList" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting" ], "softSkillsList" : [ "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring" ], "hardSkills" : [ { "name" : "Qualitative analysis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Digital data analysis", "level" : "intermediate" }, { "name" : "Research methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Negotiation" }, { "name" : "Conflict resolution" }, { "name" : "Public speaking" }, { "name" : "Critical thinking" }, { "name" : "Mentoring" } ], "majorSkills" : "Applied research, Monitoring and evaluation, Data analysis, Reporting", "majorSkillsList" : [ "Applied research", "Monitoring and evaluation", "Data analysis", "Reporting" ], "coreResponsibilities" : "Write requests for proposals, Write Terms of Reference, Review research tools, Advise on sampling strategies, Advise on methodologies, Review analysis, Review reporting, Support quality assurance during fieldwork, Conduct on-site visits, Provide technical expertise to research projects, Provide technical expertise to M&E projects, Advise on fit-for-purpose designs, Suggest qualitative methodologies, Suggest quantitative methodologies, Suggest other research approaches, Ensure ethical standards are upheld, Ensure safeguarding standards are upheld, Ensure field implementation is conducted to high standards, Train field research partners, Oversee field research partners, Ensure research outputs are accessible, Ensure research outputs are understandable, Ensure research outputs are useful, Utilise research outputs, Develop research partnerships, Maximise opportunities for cost-sharing, Maximise opportunities for joint learning, Deliver other duties relevant to position", "teamCollaboration" : "Work across functions; Work across countries; Work alongside global MERL team", "projectManagementSkills" : [ "Project management", "Research processes", "Research timelines" ], "domainKnowledge" : "Gender; Sexual reproductive health; Mental health; Economic empowerment", "domainList" : [ "gender", "sexual-reproductive-health", "mental-health", "economic-empowerment" ], "domainSpecificKnowledge" : [ "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "communicationSkills" : "Knowledge management communication; Engaging reports; Research outputs communication", "documentationSkills" : "Reporting; Research outputs", "innovationCreativity" : "Creative mindset", "problemSolvingSkills" : "Uncovering new insights; Translating insights", "specialRequirements" : "12 month contract basis", "qualificationsBasic" : "Minimum 5 years applied research, Minimum 4 years M&E experience, Postgraduate degree in relevant field, SQL proficiency, Qualitative and quantitative research design, Fieldwork experience, Data analysis experience, Reporting experience, Commissioning research agencies, Managing research agencies, Qualitative data analysis, Quantitative data analysis, Digital adaptations data analysis, Uncovering new insights, Translating insights into reports, Strategic planning experience, Knowledge management experience, Communication skills, Organisation skills, Project management skills, Cultural awareness, Sensitivity to cultures, Creative mindset, Inquisitive mindset, Fluent in English, High level English writing, High level English speaking", "qualificationsPreferred" : "Experience with girls on sensitive issues, Experience with participatory engagement, Technical knowledge in thematic areas, Background evaluating programs for women/girls, Hands-on applied research experience, Experience training others in research methods, Experience mentoring others in research methods, Experience training others in data analysis, Experience mentoring others in data analysis, Experience training others in reporting, Experience mentoring others in reporting", "remoteFriendly" : true, "rawDescription" : "Who we are Girl Effect is an international non-profit that builds media that girls want, trust and need. From chat-bots to chat-shows and TV dramas to tech, our content is reaching millions of girls in Africa and Asia to make choices and changes in their lives. Igniting their confidence to act differently at a time that can define their future. We create safe spaces for girls, sharing facts, and answering questions about health, nutrition, education, relationships and so much more. And we use innovative technology so we can reach girls at scale. We arm girls with the skills to negotiate and redefine what they are told is possible, so every girl can choose to be in control of her body, her health, her learning and livelihood. When a girl unlocks her power to make different choices that change her life, it inspires others to do so too. She starts a ripple effect that impacts her family, her community, her country. That’s the Girl Effect. Role Context The Evidence write requests for proposals and Terms of Reference for studies, review research tools, advise on sampling strategies and methodologies, and review analysis and reporting. Support with quality assurance during fieldwork, with on-site visits' or something, as I think this will be a key aspect of the role. Provide technical expertise to research, monitoring, and evaluation projects, working alongside our global MERL team as required. You will advise on fit-for purpose designs suggesting qualitative and/or quantitative methodologies or other approaches (e. g. using digital methods or secondary data sources) as appropriate. Ensure that Girl Effect’s ethical and safeguarding standards are upheld, and that field implementation is conducted to the highest standards, through training and oversight of field research partners. Ensure that research outputs are accessible, readily understandable, and useful, ensuring they are utilised as much as possible. Develop research partnerships with local and international research organisations to maximise opportunities for cost-sharing and joint learning. This list should not be considered exhaustive; you will be expected to deliver other duties relevant and appropriate to this position. Who You Are (Experience Required) Substantial experience (minimum 5 years) in applied research and/or monitoring and evaluation in Kenya or a postgraduate degree in a relevant field and at least 4 years of work experience. Passionate about working with adolescent girls and young women and truly supporting them thrive in challenging environments. Demonstrated experience in implementation of high quality qualitative and quantitative research design, fieldwork, data analysis and reporting. Experience of commissioning and managing research agencies throughout projects ensuring deliverables are completed on time and meeting the organisational needs. Strong qualitative and quantitative data analysis skills; proficient with digital adaptations. Demonstrated experience in uncovering new insights and translating these into exciting, engaging reports and research outputs. Experience in strategic planning and knowledge management Strong communication skills; able to work effectively across functions and countries. Excellent organisation and project management skills; able to develop and drive research processes and timelines. Strong cultural awareness and sensitivity about the cultures within which Girl Effect operates. Creative and inquisitive mindset with strong communication and organisational skills. Commitment to realising the potential of girls and to the vision and values of Girl Effect. Desirable Expertise working with girls on sensitive issues in Kenya Experience with participatory engagement approaches Technical/theoretical knowledge in one or more of Girl Effect’s thematic areas (e. g. gender, sexual and reproductive health, mental health, or economic empowerment) Background in evaluating programmes that relate to women and girls Hands-on experience of applied research in emerging markets or developing contexts. Experience in training and mentoring others in research methods, data analysis and reporting. Fluent in English, with a high level in writing as well as speaking What Else You Should Know As we continue to scale and grow - we are hugely ambitious for our future and we are looking for people who are driven to change the world for girls. Our teams are a diverse mix across sectors (non-profit and commercial) and specialisms (from Creative through to Gender and Insight). You’ll learn and grow in an environment that will challenge you to think and work with a fresh perspective. In turn, you can expect to work somewhere where you will be stretched and developed in your role, a place where you can build your career and work with talented, engaged people committed to our cause. Girl Effect is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, or gender identity or expression. We are proud to be an equal opportunity workplace. We are committed to building an organisation that is increasingly representative of the communities that we serve. To this end, due regard will be paid to recruiting candidates with diverse professional, academic and cultural backgrounds. Furthermore, Girl Effect is committed to safeguarding and promoting the welfare and rights of all individuals, particularly the adolescent girls and young women we support. We have zero-tolerance for safeguarding violations, including sexual exploitation, abuse, and harassment (SEAH). All employees are required to adhere to our safeguarding policies and successfully complete relevant background checks, including reference and criminal record checks where applicable. This role is subject to a standard background disclosure. This role is being recruited for on a 12 month contract basis. Only applications submitted via https://job-boards.greenhouse.io/girleffect will be reviewed. Application closing date –29th June 2026", "summaryDescription" : "Evidence and Insights Manager at Girl Effect. Skills: Applied research, Monitoring and evaluation, Data analysis, Reporting. Write requests for proposals. Write Terms of Reference", "postedDate" : "2026-06-15T23:29:34.800", "createdAt" : "2026-06-15T23:29:34.800", "lastUpdated" : "2026-06-16T06:58:42.744", "ingestTimestamp" : "2026-06-15T23:29:34.800", "mongoId" : "6a306724f292fd229cfb9ac9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Qualitative analysis", "Quantitative analysis", "Digital data analysis", "Research methods", "Data analysis", "Reporting", "Leadership", "Negotiation", "Conflict resolution", "Public speaking", "Critical thinking", "Mentoring", "Applied research", "Monitoring and evaluation", "Research design", "Fieldwork", "Commissioning research", "Managing research", "Strategic planning", "Knowledge management", "Project management", "Research processes", "Research timelines", "Gender", "Sexual reproductive health", "Mental health", "Economic empowerment" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 583.83923, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6874d8ee00a09121f2", "title" : "Fleet Monitoring Technician", "company" : "EquipmentShare", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Fleet Monitoring Technician in Columbia, United States, adjusted for industry and company size." }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-15T09:29:26.714", "fingerprint" : "709b85548d6d38875897f2fadd0c0027892118d1424f8195c6f3142ad49aa02c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8001682", "externalId" : "8001682", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Columbia", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9518830,-92.3337366" } ], "locationText" : "Columbia, Missouri, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Associate's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "G-Suite, Gmail, Google Docs, Google Sheets, Google Drive", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Incident triage", "Issue escalation", "Troubleshooting equipment issues", "Service maintenance intervals", "Customer queries", "Customer requests", "Case resolution", "Knowledge base documentation", "Technical knowledge", "Operational knowledge", "Critical alerts", "SLO performance", "SLA performance", "Team KPIs" ], "softSkillsList" : [ "Grit", "Heart", "Humility", "Energy", "Effort", "Optimism" ], "hardSkills" : [ { "name" : "Incident triage", "level" : "intermediate" }, { "name" : "Issue escalation", "level" : "intermediate" }, { "name" : "Troubleshooting equipment issues", "level" : "intermediate" }, { "name" : "Service maintenance intervals", "level" : "intermediate" }, { "name" : "Customer queries", "level" : "intermediate" }, { "name" : "Customer requests", "level" : "intermediate" }, { "name" : "Case resolution", "level" : "intermediate" }, { "name" : "Knowledge base documentation", "level" : "intermediate" }, { "name" : "Technical knowledge", "level" : "intermediate" }, { "name" : "Operational knowledge", "level" : "intermediate" }, { "name" : "Critical alerts", "level" : "intermediate" }, { "name" : "SLO performance", "level" : "intermediate" }, { "name" : "SLA performance", "level" : "intermediate" }, { "name" : "Team KPIs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Grit" }, { "name" : "Heart" }, { "name" : "Humility" }, { "name" : "Energy" }, { "name" : "Effort" }, { "name" : "Optimism" } ], "majorSkills" : "Fleet monitoring, Incident management, Service delivery", "majorSkillsList" : [ "Fleet monitoring", "Incident management", "Service delivery" ], "coreResponsibilities" : "Perform job duties, Monitor fleet systems, Respond to events, Assist with incident triage, Assist with documentation, Assist with escalation, Support incident management process, Identify potential issues, Gather relevant information, Escalate issues as needed, Collaborate with support, Assist in troubleshooting, Resolve equipment issues, Coordinate with internal teams, Support issue resolution, Ensure timely communication, Support Uptime Management Center, Support internal teams, Ensure effective operations, Ensure service delivery, Monitor service maintenance intervals, Monitor branch personnel queries, Monitor customer queries, Respond to branch personnel requests, Respond to customer requests, Follow-up with branch personnel, Follow-up with customers, Ensure issues resolved, Close cases, Contribute to knowledge base, Support team learning, Improve efficiency, Participate in training initiatives, Support development, Enhance technical knowledge, Enhance operational knowledge, Work with dealerships, View critical alerts, Clear critical alerts, Adhere to contractual SLO, Adhere to contractual SLA, Support team KPIs, Represent department professionally, Interact with internal teams, Interact with customers", "teamCollaboration" : "Collaborate with Services Technical Support; Coordinate with internal teams; Support other members; Interactions with internal teams; Interactions with customers", "domainKnowledge" : "Heavy equipment; Mechanical systems; Fleet operations; Construction industry", "domainList" : [ "heavy-equipment", "mechanical-systems", "fleet-operations", "construction-industry" ], "domainSpecificKnowledge" : [ "Heavy equipment", "Mechanical systems", "Fleet operations", "Construction industry" ], "toolProficiency" : [ "T3 platform" ], "communicationSkills" : "Branch personnel queries; Customer queries; Branch personnel requests; Customer requests; Professional interactions", "documentationSkills" : "Incident documentation; Knowledge base documentation", "continuousLearning" : "Training initiatives; Professional development", "problemSolvingSkills" : "Incident triage; Troubleshooting; Issue resolution; Problem-solving", "specialRequirements" : "7x24 environment, Rotating shifts, Potential on-call schedule, Sit for prolonged periods, Work on a computer, Background check", "outcomesObjectives" : "Maintain fleet uptime; Maintain fleet performance; Ensure effective operations; Ensure service delivery; Resolve issues to satisfaction", "qualificationsBasic" : "Ability to maintain strict confidentiality, Organizational skills, Attention to detail and accuracy, Time management skills, Communication skills, Ability to leverage technology, Ability to multi-task, Manage multiple priorities, Ability to proofread and edit, Ability to be flexible, Adapt to change, Professional demeanor, Enthusiastic demeanor, Friendly demeanor", "qualificationsPreferred" : "Associate's degree preferred, Technical certification preferred, Trade school training preferred, Equivalent combination of education and experience preferred, 0-2 years customer support experience preferred, 0-2 years operation experience preferred, 0-2 years technical support experience preferred, 0-2 years related field experience preferred, Exposure to heavy equipment preferred, Exposure to mechanical systems preferred, Exposure to fleet operations preferred, Interest in coding preferred, Interest in scripting preferred, Interest in SQL querying preferred, Interest in database querying preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a Fleet Monitoring Technician At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares. We’re hiring a Fleet Monitoring Technician at our Corporate Headquarters in Columbia, MO, and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. The Uptime Monitoring Technician supports the 24/7 remote monitoring and basic management of EquipmentShare’s heavy equipment rental fleet and Customer Owned Equipment (COE). This role focuses on monitoring system alerts, assisting with incident triage, and escalating issues to senior team members to help maintain fleet uptime and performance. Primary Responsibilities Perform job duties in accordance with EquipmentShare’s vision, mission, and values. Monitor fleet systems and respond to events and alarms; assist with incident triage, documentation, and escalation in accordance with established processes. Support the incident management process by identifying potential issues, gathering relevant information, and escalating as needed. Collaborate with Services Technical Support and senior team members to assist in troubleshooting and resolving equipment issues. Coordinate with internal teams (e.g., Warranty, Service Technicians, Service Managers) to support issue resolution and ensure timely communication. Support other members of the Uptime Management Center and internal teams as needed to ensure effective operations and service delivery. Monitor service maintenance intervals. Monitor and respond to branch personnel/customer queries and requests across various communication channels such as chat, email, and phone. Follow-up with branch personnel and customers to ensure issues are resolved to their satisfaction before closing cases. Contribute to knowledge base documentation to support team learning and improve efficiency. Participate in training initiatives to support development toward a Fleet Monitoring Specialist role and enhance technical and operational knowledge. Work with dealerships on viewing and clearing critical alerts. Adhere to contractual SLO/SLA performance and support team KPIs. Represent the department professionally in interactions with internal teams and customers. Why EquipmentShare? Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward. We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special. Perks & Benefits Competitive compensation Full medical, dental, and vision coverage for full-time employees Generous PTO + paid holidays 401(k) + company match Gym membership stipend + wellness programs (earn PTO and prizes!) Company events, food truck nights 16 hours of paid volunteer time per year — give back to the community you call home Career advancement, leadership training, and professional development opportunities About You You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment. We’re looking for people who: See challenges as opportunities Embrace change and continuous improvement Bring energy, effort, and optimism every day Skills & Qualifications A passion for helping others and a willingness to go the extra mile in providing nothing less than exceptional service and a positive customer experience. Basic understanding of heavy equipment, mechanical systems, or a demonstrated interest in developing technical expertise in this area. Must be able to work in a 7x24 environment with rotating shifts and a potential on-call schedule. Ability to maintain strict confidentiality. Strong organizational skills with attention to detail and accuracy. Strong time management and communication skills. Ability to leverage technology to improve communication and efficiency. Ability to multi-task and manage multiple priorities in a fast paced environment. Working knowledge of G-Suite, including Gmail, Google Docs, Sheets, and Drive. Ability to proofread and edit written content. Attention to detail with the ability to identify process gaps and escalate as appropriate. Ability to be flexible and adapt to change in a positive manner. Self-starter and highly motivated with a strong, positive work ethic that contributes to the vision of the department and the company as a whole. Must possess a professional yet enthusiastic and friendly demeanor. Education and Experience: Associate’s degree, technical certification, trade school training, or equivalent combination of education and experience preferred. 0-2 years of experience in customer support, operation, technical support, or a related field preferred Exposure to heavy equipment, mechanical systems, or fleet operations is a plus, but not required. Exposure or interest in coding, scripting, or SQL/database querying is preferred, but not required. Physical Requirements: Must be able to sit for prolonged periods at a desk and work on a computer. A Workplace For All At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life. We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do. EquipmentShare is an EOE M/F/D/ V. Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.", "summaryDescription" : "Fleet Monitoring Technician at EquipmentShare. Skills: Fleet monitoring, Incident management, Service delivery. Perform job duties. Monitor fleet systems", "postedDate" : "2026-06-14T07:59:41.879", "createdAt" : "2026-06-14T07:59:41.879", "lastUpdated" : "2026-06-15T09:29:26.714", "ingestTimestamp" : "2026-06-14T07:59:41.879", "mongoId" : "6a2c6b6874d8ee00a09121f2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Incident triage", "Issue escalation", "Troubleshooting equipment issues", "Service maintenance intervals", "Customer queries", "Customer requests", "Case resolution", "Knowledge base documentation", "Technical knowledge", "Operational knowledge", "Critical alerts", "SLO performance", "SLA performance", "Team KPIs", "Grit", "Heart", "Humility", "Energy", "Effort", "Optimism", "Fleet monitoring", "Incident management", "Service delivery", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Heavy equipment", "Mechanical systems", "Fleet operations", "Construction industry", "T3 platform" ], "skillCount" : 35, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 581.3174, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6b5", "title" : "EDU System Validation Engineer", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 285000.0, "max" : 430000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level EDU System Validation Engineer in Shanghai, China, adjusted for the automotive industry and company size." }, "location" : "China (Mainland)-Shanghai-Shanghai", "locations" : [ "China (Mainland)-Shanghai-Shanghai", "No. 2069, Jin Xiu Dong Road, Jinqiao, Pudong District, , Shanghai" ], "timestamp" : "2026-06-16T06:01:57.830", "fingerprint" : "b0f5a04c36f0dc4a3ae23cc8d95141bd73cdb6c92da4f868c65d5f9a8f1665c9", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898105", "externalId" : "898105", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "state" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.2323437,121.4691024" } ], "locationText" : "Shanghai, Shanghai, China", "employmentType" : "FULL_TIME", "minimumEducation" : "University degree", "professionalSkills" : [ "System design", "System requirements", "Validation concept", "D&PV concept", "Trouble shooting", "Issue analysis" ], "majorSkills" : "EDU system, System validation", "majorSkillsList" : [ "EDU system", "System validation" ], "coreResponsibilities" : "Collaborate with Supplier for EDU 3 in 1, Define EDU 3 in 1 system requirements, Review EDU 3 in 1 system requirements with, Collaborate with HQ and supplier to define validation, Collaborate with HQ and supplier to define D&PV, Collaborate with supplier for trouble shooting, Collaborate with supplier for issue analysis, Track validation progress, Review D&PV result according to MB standard", "teamCollaboration" : "Cross-functional teams; Suppliers", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "EDU system design; EDU system D&PV concept; New Energy Vehicles", "domainList" : [ "edu-system-design", "edu-system-d-pv-concept", "new-energy-vehicles" ], "domainSpecificKnowledge" : [ "EDU system design", "EDU system D&PV concept", "New Energy Vehicles" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Trouble shooting; Issue analysis", "qualificationsBasic" : "University degree in electrical, mechanical or automotive engineering, Working Experience in EDU system/HW development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Objective: China as our most important and greatest market is pushing massively towards electric mobility. Standards and regulations for a New Energy Vehicles change rapidly. Market competitiveness is increasing fast. Within this fast growing and developing business of Mercedes, the electric drive department is continuously developing. This means you will be responsible: Collaboration with Supplier for EDU 3 in 1 system concept For define and review of EDU 3 in 1system requirements with HQ To collaborate with HQ and supplier to define the validation and D&PV concept To collaborate with supplier for trouble shooting and issue analysis To track the validation progress and review D&PV result according to MB standard Qualifications: Education: University degree in electrical, mechanical or automotive engineering Experience: Working Experience in EDU system/HW development Specific knowledge: Deep knowledge on EDU system design Deep knowledge on EDU system D&PV concept and process Communication skills with various hierarchy levels and different cultural background Project management skills to manage cross functional teams and suppliers Intercultural experience Fluent written/spoken Chinese and English Mercedes-Benz Group China Ltd.", "summaryDescription" : "EDU System Validation Engineer at Mercedes-Benz Group China Ltd.. Skills: EDU system, System validation. Collaborate with Supplier for EDU 3 in 1. Define EDU 3 in 1 system requirements", "createdAt" : "2026-06-14T20:44:00.725", "lastUpdated" : "2026-06-16T06:01:57.830", "ingestTimestamp" : "2026-06-14T20:44:00.725", "mongoId" : "6a191e7758b93c861e39f6b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "EDU system", "System validation", "System design", "System requirements", "Validation concept", "D&PV concept", "Trouble shooting", "Issue analysis", "Project management", "EDU system design", "EDU system D&PV concept", "New Energy Vehicles" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 579.0858, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2eb32b74d8ee00a0e7dea1", "title" : "Model/Analysis/Validation Officer", "company" : "Citibank, N. A.", "industry" : "Banking", "salary" : { "min" : 130449.69, "max" : 130449.69, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T23:04:18.423", "fingerprint" : "c93b81c5226725a4c6b085bae2a3c0e47f760a30c06de39cf26e9a5259b89675", "source" : "workday", "language" : "en", "applyUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Tampa-Florida-United-States/Model-Anlys-Valid-Officer_26971221", "externalId" : "26971221", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "Analytics engineering", "Machine learning", "AI" ], "hardSkillsList" : [ "Data modelling", "Statistical analysis", "Machine learning modelling", "Data pipeline development", "ETL processes", "Data warehousing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning modelling", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform complex data analysis, Create and manage BI reports, Develop machine learning models, Deploy ML models into production, Ensure data quality and integrity, Collaborate with stakeholders to define requirements, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Financial services; Risk management; Regulatory compliance", "domainList" : [ "financial-services", "risk-management", "regulatory-compliance" ], "domainSpecificKnowledge" : [ "Financial services", "Risk management", "Regulatory compliance" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data analysis or related field, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related quantitative field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "# Citibank, N.A. seeks a/ Model/Analysis/Validation Officer for its Tampa, Florida location. Duties: Apply quantitative and qualitative data analysis methods to extract, transform and analyze AML/KYC data using SAS, R programming, Python, and SQL. Perform validation of the bank’s KYC customer risk scoring tools and Anti-Money Laundering (AML) transaction monitoring tools to ensure regulatory compliance and establish risk and controls across multiple regions and lines of business, including Retail, Institutional, Credit Cards, Markets and Private Banking. Develop, enhance and validate quantitative methodologies for measuring and analyzing financial crimes risk – AML/KYC, ensuring the rule-based and machine learning (supervised and unsupervised) techniques are robust and effective. Serve the bank’s lines of defense by providing effective challenge to AML/KYC monitoring tools throughout their lifecycle, ensuring that conceptual soundness, technical specifications, data quality, and performance are validated in accordance with regulatory requirements. Evaluate theoretical construction and implementation of tools, challenging mathematical formulation, variables selection, threshold setting and code using statistical tests, ensuring assumptions and limitations are documented to assess fit-for-purpose. Data preparation and validation for modeling and analysis, handling of missing values and outliers, variable transformations, and feature pre-selection for tool stability. Automate data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes using Python. Establish robust controls around data quality, continuous monitoring of data quality flowing into AML tools; checks for completeness, anomalies, drifts, and integrity within core banking and data systems Mantas and EAP/Hadoop. Execute threshold analysis to evaluate and optimize production thresholds for AML monitoring scenarios, exploring data distributions and coverage analysis using SAS, R, Python or SQL to emulate and simulate tool logic. Conduct periodic reviews of the customer segmentation tool; validate AML monitoring tool’s risk tolerance by executing testing strategies, including risk-based sampling, sensitivity analysis, and random client analysis. Review performance monitoring of AML monitoring systems, establishing risk assessment and controls through KPIs and advanced statistical metrics to validate tool. Conduct data analysis, data mining – statistical and non-statistical data exploration, read and create statistical documentation, analyze and interpret data reports and work with risk management and technology teams to address data issues and improvements to AML tools and threshold settings. Communicate analytical findings, limitations, potential risks through presentations and reports (validation report, quarterly and annual review reports) to stakeholders, management and internal governance committees, and used to inform business decisions and ensure mitigating controls are in place; provide evidence-based responses to RFIs during regulatory examinations and internal audit reviews. Lead discussions on methodology and process improvement initiatives through adoption of automation and efficiency enhancements for automation of data inputs and tool performance validation. Maintain industry leading knowledge in global banking systems and operations, including financial products, client portfolios, market exposures, evolving regulatory requirements, risk and controls, and activities such as Correspondent Banking, Payment Intermediaries and cross-border transactions applicable for AML Detection and monitoring operations. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Master’s degree or foreign equivalent in Engineering (any), Data Science, Business Analytics, Mathematics, or related quantitative field, and 1 year of experience as a Data Analyst, Business Analyst, Banking Analyst, Officer, or related position involving AML and KYC risk and control procedures for banking services. Alternatively, will accept a Bachelor’s degree in the stated fields and 3 years of the specified experience. Full term of experience must include: Fraud detection for money laundering/terrorist financing; Customer risk scoring and transaction monitoring rules and models for AML, KYC; Business Intelligence, Data Visualization for risk assessment, data reporting and KPI dashboards; Exploratory data analysis including empirical data distributions, data reconciliation, missing data imputation, and outlier analysis; Statistical analysis including sampling and supervised and unsupervised machine learning; Analytical programming using SQL,SAS, Python, Spark and Hadoop Ecosystem, VBA in Excel, XML. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID # 26971221. EO Employer. Wage Range: $130,449.69 to $180,218 Job Family Group: Risk Management Job Family: Model Development and Analytics \\------------------------------------------------------ ## **Job Family Group:** \\------------------------------------------------------ ## **Job Family:** \\------------------------------------------------------ ## **Time Type:** Full time \\------------------------------------------------------ ## **Primary Location:** Tampa Florida United States \\------------------------------------------------------ ## **Primary Location Full Time Salary Range:** In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. \\------------------------------------------------------ ## **Most Relevant Skills** Please see the requirements listed above. \\------------------------------------------------------ ## **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. \\------------------------------------------------------ ## **Anticipated Posting Close Date:** Aug 03, 2026 \\------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ __ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review[Accessibility at Citi](https://www.citigroup.com/citi/accessibility/application-accessibility.htm). View Citi’s [EEO Policy Statement](https://www.citigroup.com/global/eeo-aa-policy) and the [Know Your Rights](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster._", "summaryDescription" : "Model/Analysis/Validation Officer at Citibank, N. A.. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-10T21:57:54.739", "createdAt" : "2026-06-14T21:57:54.711", "lastUpdated" : "2026-06-15T23:04:18.423", "ingestTimestamp" : "2026-06-14T21:57:54.711", "mongoId" : "6a2eb32b74d8ee00a0e7dea1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://citi.wd5.myworkdayjobs.com/2/job/Tampa-Florida-United-States/Model-Anlys-Valid-Officer_26971221", "salaryAnnualMin" : 130449, "salaryAnnualMax" : 130449, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modelling", "Statistical analysis", "Machine learning modelling", "Data pipeline development", "ETL processes", "Data warehousing", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Quantitative analysis", "Analytics engineering", "Machine learning", "AI", "Financial services", "Risk management", "Regulatory compliance", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 578.6152, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e3b9bc74574cb677a76", "title" : "OTA Validation & Automation Engineer", "company" : "Mercedes-Benz Digital Tech Ltd.", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior OTA Validation & Automation Engineer in the Automotive industry in the United States, adjusted for company size and location." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "China (Mainland)-Shanghai-Shanghai", "Xingchi Tower, No. 399, Keqiao Road, , Jinqiao, Pudong, Shanghai" ], "timestamp" : "2026-06-16T01:36:17.706", "fingerprint" : "bb74e159addcbebe74c85a74bb6459aea98f3979fca0cdde563e5582775c435d", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=884895", "externalId" : "884895", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Robot Framework, CAPL, Jenkins, GitLab CI, Jira, Confluence, CAN, LIN, Automotive Ethernet, UDS, DoIP, SOME/IP, TLS, SecOC", "professionalSkills" : [ "Test management", "Automation strategy", "Issue analysis", "Quality reporting", "Requirements analysis", "Test design", "Security verification", "Continuous improvement", "Infrastructure management", "Root cause analysis", "Risk management" ], "hardSkillsList" : [ "Automotive software testing", "OTA validation", "Diagnostic validation", "Vehicle communication protocols", "Cybersecurity verification", "Test automation scripting", "CI/CD integration", "Log analysis", "Bus trace analysis" ], "hardSkills" : [ { "name" : "Automotive software testing", "level" : "intermediate" }, { "name" : "OTA validation", "level" : "intermediate" }, { "name" : "Diagnostic validation", "level" : "intermediate" }, { "name" : "Vehicle communication protocols", "level" : "intermediate" }, { "name" : "Cybersecurity verification", "level" : "intermediate" }, { "name" : "Test automation scripting", "level" : "intermediate" }, { "name" : "CI/CD integration", "level" : "intermediate" }, { "name" : "Log analysis", "level" : "intermediate" }, { "name" : "Bus trace analysis", "level" : "intermediate" } ], "majorSkills" : "OTA Validation, Test Automation, Automotive Software, CI/CD", "majorSkillsList" : [ "OTA Validation", "Test Automation", "Automotive Software", "CI/CD" ], "coreResponsibilities" : "Define OTA test strategy, Execute OTA test strategy, Manage test scope, Schedule validation cycles, Coordinate end-to-end testing, Ensure zero-failure deployment, Conceptualize test automation frameworks, Build test automation frameworks, Maintain test automation frameworks, Maximize test coverage, Maximize test efficiency, Transition manual test cases, Automate test scripts, Perform defect triage, Analyze failure logs, Identify root causes, Resolve software bugs, Establish reporting standards, Track KPIs, Generate test reports, Present OTA status, Review system requirements, Review technical specifications, Design detailed test plans, Map requirements to test cases, Execute validation plans, Verify cybersecurity standards, Verify regulatory compliance, Identify testing bottlenecks, Implement new tools, Implement new methodologies, Accelerate validation cycle, Coordinate test infrastructure allocation, Coordinate test infrastructure maintenance, Manage test vehicles, Manage HIL benches, Manage reference setups, Configure test infrastructure, Update test infrastructure, Validate automotive software, Validate IVI systems, Validate Gateway systems, Validate OTA process, Validate diagnostic features, Analyze communication traces, Debug communication issues, Verify digital signatures", "teamCollaboration" : "Work with development teams; Cross-functional teams", "projectManagementSkills" : [ "Test management", "Risk management", "Defect lifecycle management" ], "domainKnowledge" : "Automotive software; Remote Software Updates (OTA); Electronic Control Units (ECUs); Infotainment systems; Hardware-in-the-Loop (HIL); Software-in-the-Loop (SIL); Vehicle bus systems; Vehicle communication protocols; Onboard-Offboard communication; Cybersecurity standards; UN R156 compliance", "domainList" : [ "automotive-software", "remote-software-updates-ota", "electronic-control-units-ecus", "infotainment-systems", "hardware-in-the-loop-hil", "software-in-the-loop-sil", "vehicle-bus-systems", "vehicle-communication-protocols", "onboard-offboard-communication", "cybersecurity-standards", "un-r156-compliance" ], "domainSpecificKnowledge" : [ "Automotive software", "Remote Software Updates (OTA)", "Electronic Control Units (ECUs)", "Infotainment systems", "Hardware-in-the-Loop (HIL)", "Software-in-the-Loop (SIL)", "Vehicle bus systems", "Vehicle communication protocols", "Onboard-Offboard communication", "Cybersecurity standards", "UN R156 compliance" ], "toolProficiency" : [ "Jira", "Confluence", "Jenkins", "GitLab CI" ], "communicationSkills" : "Technical communication; Reporting; Presentations", "documentationSkills" : "Test reports; Technical specifications", "problemSolvingSkills" : "Root cause analysis; Issue analysis; Problem-solving; Troubleshooting", "outcomesObjectives" : "Ensure zero-failure deployment; Maximize test coverage; Maximize test efficiency; Resolve critical software bugs; Ensure compliance and safety", "qualificationsBasic" : "Automotive software validation experience, Android, Linux, QNX environments, IVI or Gateway testing experience, Software Update (OTA) process understanding, Diagnostic update features validation, Vehicle bus systems knowledge, CAN, LIN, Automotive Ethernet knowledge, UDS, DoIP, SOME/IP protocols knowledge, Onboard-Offboard communication chain familiarity, Backend, TCU, target ECUs familiarity, Cybersecurity mechanisms verification, Test automation frameworks design, Manual OTA test cases automation, Test infrastructure management experience, HIL benches management, Test vehicles management, Flashing tools management, CI/CD pipelines integration, Root cause analysis skills, Defect lifecycle management, Fluent in English, Fluent in Chinese", "qualificationsPreferred" : "Robot Framework experience, CAPL experience, Jenkins experience, GitLab CI experience, Jira/Confluence experience", "remoteFriendly" : false, "rawDescription" : "Are you passionate about ensuring the reliability and quality of next-generation automotive software? We are seeking a dedicated OTA Test and Automation Engineer to drive the validation strategy for our Remote Update (OTA) systems. In this pivotal role, you will lead the testing lifecycle, architect automation frameworks, and ensure the seamless delivery of software updates to in-car components and Electronic Control Units (ECUs), including infotainment systems. Your Role & Responsibilities As the OTA Test and Automation Engineer, you will: Lead OTA Test Management: Define and execute the comprehensive test strategy for Remote Software Updates. You will manage test scope, schedule validation cycles, and coordinate end-to-end testing across various vehicle variants and ECU configurations to ensure zero-failure deployment. Drive Test Automation Strategy: Conceptualize, build, and maintain robust test automation frameworks for OTA. Your goal is to maximize test coverage and efficiency by transitioning manual test cases into automated scripts (CI/CD integration) for both HIL (Hardware-in-the-Loop) and SIL (Software-in-the-Loop) environments. Deep-Dive Issue Analysis: Act as the primary point of contact for defect triage. You will analyze complex failure logs, identify root causes of update interruptions or failures, and work closely with development teams to resolve critical software bugs before release. Quality Reporting & Visualization: Establish transparent reporting standards. You will track Key Performance Indicators (KPIs), generate detailed test reports, and present the current maturity and stability status of OTA features to management and stakeholders. Requirements Analysis & Test Design: Review system requirements and technical specifications to design detailed test plans. You will ensure that all customer requirements, from user experience to functional stability, are mapped to verifiable test cases. Security & Compliance Verification: execute validation plans that ensure all OTA features meet strict cybersecurity standards and regulatory compliance (e.g., UN R156), ensuring the integrity of the update process. Continuous Improvement: Proactively identify bottlenecks in the testing process and implement new tools or methodologies to accelerate the validation cycle without compromising quality. Manage Test Infrastructure & Fleet: Coordinate the allocation and maintenance of physical test resources. You will be responsible for managing test vehicles, Hardware-in-the-Loop (HIL) benches, and reference setups, ensuring they are correctly configured, updated, and available for scheduled validation campaigns. Technical Expertise & Testing: Automotive Software Validation: Strong background in testing automotive software within Android, Linux, and QNX environments. Experience with IVI (In-Vehicle Infotainment) or Gateway testing is highly desirable. OTA & Diagnostics Mastery: Deep understanding of the Software Update (OTA) process, including technical logic, rollout policies, and rollback scenarios. Proficient in validating diagnostic update features and requirements. Communication Protocols: Expert knowledge of vehicle bus systems (CAN, LIN, Automotive Ethernet) and protocols (UDS, DoIP, SOME/IP). Ability to analyze traces and debug communication issues during update cycles. End-to-End Architecture: Familiarity with the complete Onboard-Offboard communication chain, encompassing Backend, TCU (Telematics), and target ECUs. Security Verification: Experience verifying cybersecurity mechanisms (e.g., SecOC, TLS, digital signatures) within the software update context to ensure compliance and safety. Automation & Infrastructure: Test Automation Frameworks: Proven experience in designing and implementing test automation frameworks (e.g., using Python, Robot Framework, or CAPL). Ability to convert manual OTA test cases into automated scripts. Infrastructure Management: Hands-on experience managing and maintaining test infrastructure, including HIL (Hardware-in-the-Loop) benches, test vehicles, and flashing tools. CI/CD Integration: Experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI) to enable continuous testing and reporting. Analysis & Management: Root Cause Analysis: Excellent problem-solving skills with a focus on defect triage. Ability to analyze complex logs (system logs, bus traces) to pinpoint the root cause of update failures. Risk & Issue Management: Strong sensitivity to technical risks with the ability to manage the defect lifecycle (Jira/Confluence) and drive issues to resolution across cross-functional teams. Language Skills: Fluent in English and Chinese to ensure clear, efficient technical communication with development teams, backend engineers, and stakeholders worldwide. Join us and be at the forefront of automotive software innovation—driving the reliability of smart, connected vehicles with your expertise in OTA test management and automation. If you are passionate about building robust validation frameworks, managing complex test infrastructure, and ensuring a flawless remote update experience for customers, we want to hear from you. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "OTA Validation & Automation Engineer at Mercedes-Benz Digital Tech Ltd.. Skills: OTA Validation, Test Automation, Automotive Software, CI/CD. Define OTA test strategy. Execute OTA test strategy", "createdAt" : "2026-06-14T19:47:10.239", "lastUpdated" : "2026-06-16T01:36:17.706", "ingestTimestamp" : "2026-06-14T19:47:10.239", "mongoId" : "69ce5e3b9bc74574cb677a76", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automotive software testing", "OTA validation", "Diagnostic validation", "Vehicle communication protocols", "Cybersecurity verification", "Test automation scripting", "CI/CD integration", "Log analysis", "Bus trace analysis", "OTA Validation", "Test Automation", "Automotive Software", "CI/CD", "Test management", "Automation strategy", "Issue analysis", "Quality reporting", "Requirements analysis", "Test design", "Security verification", "Continuous improvement", "Infrastructure management", "Root cause analysis", "Risk management", "Defect lifecycle management", "Automotive software", "Remote Software Updates (OTA)", "Electronic Control Units (ECUs)", "Infotainment systems", "Hardware-in-the-Loop (HIL)", "Software-in-the-Loop (SIL)", "Vehicle bus systems", "Onboard-Offboard communication", "Cybersecurity standards", "UN R156 compliance", "Jira", "Confluence", "Jenkins", "GitLab CI" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 578.40314, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aa96e74d8ee00a06c2746", "title" : "Validation Specialist", "company" : "Sectigo", "industry" : "Computer Software", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Validation Specialist in the Technology industry in Chennai, India, adjusted for company size and specific industry." }, "location" : "Chennai, TN, IN", "locations" : [ "Chennai", "TN", "IN" ], "timestamp" : "2026-06-14T22:57:03.485", "fingerprint" : "ff4d90307be3fac6611e328f22f619b3af3ebb1d8c1c5da51374cd6817d45257", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Sectigo/3743990013574316-validation-specialist-i-", "externalId" : "3743990013574316", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Windows, Office products", "professionalSkills" : [ "Customer support", "Data entry", "Order management", "Customer service", "Online research", "Validation" ], "hardSkillsList" : [ "Data verification", "Data comparison" ], "softSkillsList" : [ "Integrity", "Fair mindedness", "Congenial personality" ], "hardSkills" : [ { "name" : "Data verification", "level" : "intermediate" }, { "name" : "Data comparison", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Integrity" }, { "name" : "Fair mindedness" }, { "name" : "Congenial personality" } ], "majorSkills" : "Customer support, Validation, Order processing", "majorSkillsList" : [ "Customer support", "Validation", "Order processing" ], "coreResponsibilities" : "Process orders for TLS products, Process orders for security products, Conduct research to verify customers, Authenticate contact details, Provide superior customer service, Assist customers via phone, Assist customers via email, Assist customers via live chat, Resolve customer support issues, Escalate cases when appropriate, Handle day-to-day activities, Maintain Sectigo's customer base, Answer customer inquiries", "teamCollaboration" : "Internal teams; Customer base", "domainKnowledge" : "Certificate lifecycle management; Digital trust management; Digital certificates; SSL PKI", "domainList" : [ "certificate-lifecycle-management", "digital-trust-management", "digital-certificates", "ssl-pki" ], "domainSpecificKnowledge" : [ "Certificate lifecycle management", "Digital trust management", "Digital certificates", "SSL PKI" ], "toolProficiency" : [ "Validation tools", "Order management tools" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Work shift work, Work holidays", "qualificationsBasic" : "2+ years customer support experience, 2+ years data entry experience, Ability to work with in-house tools, Knowledge of Windows, Knowledge of Office products, Prior experience verifying data, Prior experience comparing data, Computer literacy skills, Superior customer service skills, Comfortable working on computer daily, Comfortable conversing over phone, Comfortable conversing over email, Comfortable conversing over chat, Comfortable researching information online, Ability to problem solve, Ability to manage time well, Ability to get things done, Ability to work independently, Ability to work as part of team, Excellent verbal communication skills, Excellent written communication skills, Attention to details, Patience for user questions", "qualificationsPreferred" : "Bachelor's degree in business, Bachelor's degree in technical field, Equivalent experience to degree, Work in compliance regulatory environment helpful, Knowledge of SSL PKI products, Knowledge of SSL PKI services, Knowledge of SSL PKI policies, Knowledge of SSL PKI procedures, Knowledge of corporate environment, Experience in global setting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sectigo is the most innovative provider of certificate lifecycle management (CLM), delivering solutions that help the world’s largest brands simplify how digital trust is managed and scaled. Sectigo’s automated, cloud-native CLM platform issues and manages digital certificates across enterprise environments, enabling organizations to reduce complexity, accelerate time to value, and strengthen security across environments. Sectigo is one of the largest, longest-standing, and most reputable CAs with more than 700,000 customers, including 65% of the Fortune 500. Sectigo holds six combined active leadership seats in the CA/Browser Forum and ETSI and brings two decades of delivering unparalleled digital trust. Simplicity at Scale. How we show up with each other and our customers every day is just as important, and we win as #OneSectigo by living out our core values - Support, Excellence, Communication, Teamwork, Integrity, Growth and Openness. We are committed to investing in our diverse teams where everyone understands their role and how they support our strategic goals, we drive operational excellence through scale and efficiency, and we strive to delight our customers and become the market leader in our industry. If you aspire to join a driven team that holds each other accountable to meeting our lofty goals and you’d like to be part of our growth story in delivering a market leading user experience, we’d like to talk to you. We are looking for a talented Validation Specialist I to join our growing global team at Sectigo. The Validation Specialist I manages the day-to-day handling of validation certificate orders. This individual conducts online research to verify customer organizations applying for a certificate, authenticates organization’s contact details, and reviews, audits, and issues certificate orders while working closely with Sectigo’s certificate customer base and internal teams, as well as answering customer inquiries via phone, email, and live chat. Here are the core functions, responsibilities, and expectations for this role: * Process orders for TLS and other security products according to industry and company compliance requirements. * Conduct research to verify customer organizations and authenticate contact details. * Provide superior customer service and assistance via phone, email, and live chat. * Independently resolve customer support issues and escalate cases when appropriate. * Handle day-to-day activities associated with maintaining Sectigo’s customer base. * Specific language proficiencies and work schedule may be required based on business needs. * Additional tasks associated with this position may be assigned in response to company initiatives and business needs. More information about this role: * This is a full-time and in-office position, working 5 days a week from our Chennai office at DLF IT Park, Manapakkam. * The targeted compensation package for this role is between INR 4,20,000 and INR 4,70,000. ## Qualifications Education: * Bachelor’s or college degree in business and/or technical related field or equivalent experience is strongly preferred. Experience: * Minimum of 2+ years of customer support and/or data entry experience is required. * Ability to work with in-house validation and order management tools. * Knowledge of Windows and Office products. * Prior experience verifying and comparing data. * Work in an environment adhering to compliance regulatory requirements helpful. * Specific language proficiencies and work schedule may be required based on business needs. Ideal Candidate Profiles, Talents, and Desired Qualifications: * Computer literacy skills must include the use of e-mail, databases, and word processing applications. * Strong communication and organization skills, with attention to detail and must be able to multi-task. * Superior customer service and phone mannerism is required to handle the support of Sectigo’s customer base. * Must be comfortable working on a computer daily and conversing over the phone, email, and chat. * Must be comfortable researching information online. * Self-motivated with ability to problem solve, manage time well, and get things done. * Ability to work independently and part of a team with limited supervision. * Knowledge of SSL PKI products and services, including policies and procedures preferred. * Possess qualities such as integrity, fair mindedness, and a persuasive, congenial personality. * Excellent verbal and written communication skills. * Quick learner, attention to details, and patience for user questions. * Knowledge of corporate environment in a global setting. * Must thrive in a mature enterprise environment while applying existing skill sets and training to increase knowledge base. * Must be able to work shift work including holidays or as assigned. ## Additional Information Sectigo is an Equal Opportunity Employer. At Sectigo, we are committed to providing equal opportunities throughout your career. We hire and promote the most qualified individuals based on their skills, experience, job requirements, and business needs. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability, pregnancy, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable laws in the countries where we operate. Our “One Sectigo” culture fosters a strong sense of belonging and supports a respectful, inclusive workplace free from discrimination and harassment. Use of Artificial Intelligence (AI) in Our Hiring Process at Sectigo: To enhance your experience, Sectigo may use Artificial Intelligence (AI) tools during the recruitment process. We are committed to using AI responsibly and transparently, ensuring fairness, accuracy, and human oversight at every stage. Global team. Global reach. Global impact. At Sectigo, we believe doing good is good business. Our strength and our success come from our team of passionate, engaged individuals who make a difference, both locally and globally. Our commitment to engagement is rooted in an unconditionally inclusive workforce, embodying our unique perspectives, heritages, and backgrounds, all as diverse as the experiences of each Sectigo employee. Importantly, we strive to be recognized not only as the CLM leader but also for our intentional efforts to promote employees into the roles that most challenge and excite them, into experiences that allow them to grow their interests as we grow the business. We are committed to bringing a little bit of fun and a whole lot of happiness into everything we do so that our work – and our team members – reflect the positive outcomes we deliver to our customers every day.", "summaryDescription" : "Validation Specialist at Sectigo. Skills: Customer support, Validation, Order processing. Process orders for TLS products. Process orders for security products", "postedDate" : "2026-06-11T08:00:14.000", "createdAt" : "2026-06-12T01:17:35.015", "lastUpdated" : "2026-06-14T22:57:03.485", "ingestTimestamp" : "2026-06-12T01:17:35.015", "mongoId" : "6a2aa96e74d8ee00a06c2746", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data verification", "Data comparison", "Integrity", "Fair mindedness", "Congenial personality", "Customer support", "Validation", "Order processing", "Data entry", "Order management", "Customer service", "Online research", "Certificate lifecycle management", "Digital trust management", "Digital certificates", "SSL PKI", "Validation tools", "Order management tools" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "Validation", "dataQualityScore" : 1.0, "_score" : 577.8335, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a307f95f292fd229c05b053", "title" : "Hardware Validation Lead, Platforms", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Hardware Validation Engineer in Sunnyvale, CA, adjusted for the technology industry and lead seniority." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]" ], "timestamp" : "2026-06-16T10:56:20.954", "fingerprint" : "2fdc2f7b269020080cfe5d0f879286aa7859825dc6ef38ffdd2ddcdcafcc7c1a", "source" : "google", "language" : "en", "externalId" : "100462227160474310", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "summaryDescription" : "Hardware Validation Lead, Platforms", "postedDate" : "2026-06-16T01:50:12.243", "createdAt" : "2026-06-16T01:50:12.243", "lastUpdated" : "2026-06-16T10:56:20.954", "ingestTimestamp" : "2026-06-16T01:50:12.243", "mongoId" : "6a307f95f292fd229c05b053", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "_score" : 575.03125, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 37642, "totalPages" : 753, "hasNext" : true, "hasPrevious" : false } }

Implement Rigorous Data Validation And Monitoring Frameworks Jobs in London

Monitoring and Evaluation Specialist

Laboratory Instrumentation and Validation Specialist

Associate Director, Ethics & Compliance - Risk Assessment and Monitoring

Hardware Validation Engineer

Implementation Engineer

Senior Firmware Validation Engineer

Monitoring, Evaluation and Learning (MEL) Intern

Data Implementation Specialist

Condition Monitoring Engineer

Staff -Power and Performance Validation Engineer

Product Verification and Validation Engineer

SW Automation and Framework Engineer

Software Development Engineer, FTV Frameworks and Performance

Software Development Manager, Network Monitoring and Remediation

Intern - Infrastructure Monitoring Analyst

Hardware Validation Engineer

Product Compliance, Selection Validation - Listings

TPU Validation Manager

Electrical Validation Engineer

Principal Hardware Engineer, Amazon Industrial Robotics- Verification and Validation

SoC Validation Engineer

Hardware Validation Engineer, Cloud Platforms

Data Implementation Specialist

Monitoring Engineer

Senior Data Analyst, Transaction Monitoring & Fraud

Electrical Validation Engineer

Renewables Data Researcher Intern

Principal Engineer, Product Design Validation

Software Development Engineer, System Frameworks and Performance

SoC Validation Engineer

Medical Monitor

Medical Monitor

Senior Data Governance Specialist

Cardiac Monitoring Tech - Central Monitoring Unit

Healthcare Data Analyst

Principal Power & Performance Validation Engineer

Robotics Data Quality Engineer

Data Quality Engineer

Director, Data Strategy and Data Governance

Product Manager, Monitoring and Reliability Product

SoC Validation Associate, SSG

Monitoring / AIOps Engineer

Validation Engineer

Evidence and Insights Manager

Fleet Monitoring Technician

EDU System Validation Engineer

Model/Analysis/Validation Officer

OTA Validation & Automation Engineer

Validation Specialist

Hardware Validation Lead, Platforms

Common Questions