{ "count" : 27152, "data" : [ { "id" : "6a2ca06974d8ee00a09a228b", "title" : "Infrastructure Tooling & Observability Engineer", "industry" : "Infra Ops", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Infrastructure Tooling & Observability Engineer in London, UK, adjusted for the technology industry." }, "location" : "London", "locations" : [ "London" ], "certifications" : [ "Kubernetes Certified Administrator", "CompTIA+ Security", "LPI/LPIC certification" ], "timestamp" : "2026-06-15T13:51:09.906", "fingerprint" : "866bafc7bba69c00912afc26a06e8a482c28f3154b3c0e18e06ddb41cfdc93fa", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/radiant/d14f4cd4-cb51-4b77-8af2-917ae28f7119/application", "externalId" : "d14f4cd4-cb51-4b77-8af2-917ae28f7119", "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", "domainKnowledge" : "AI workloads; HPC workloads; GPU fleet; High-volume telemetry; Networking layers; Platform layers; Distributed environments; Cloud-native observability", "domainList" : [ "ai-workloads", "hpc-workloads", "gpu-fleet", "high-volume-telemetry", "networking-layers", "platform-layers", "distributed-environments", "cloud-native-observability" ], "domainSpecificKnowledge" : [ "AI workloads", "HPC workloads", "GPU fleet", "High-volume telemetry", "Networking layers", "Platform layers", "Distributed environments", "Cloud-native observability" ], "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT US We’re a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. ROLE OVERVIEW We are seeking an Infrastructure Tooling & Observability Engineer to act as a key engineering force within our global Infrastructure Operations organisation. Working closely with our SRE teams, you will translate high-level reliability objectives into scalable, production-ready systems that directly improve the resilience, efficiency, and performance of our global infrastructure. This role goes beyond traditional monitoring. You will help design and build the internal control plane that enables operations at scale across a rapidly growing GPU fleet. Your work will focus on transforming complex, high-volume telemetry—spanning logs, metrics, and events across HPC, networking, and platform layers—into actionable insight that drives operational excellence and proactive reliability. A core part of your responsibility will be developing intelligent observability and automation systems, including advanced alerting strategies, anomaly detection, and AI-driven tooling that reduces L1/L2 escalations and removes operational toil. You will also contribute to Continual Service Improvement (CSI) initiatives by building frameworks for reliability measurement, automated remediation, and system health evaluation. In addition, you will play a central role in turning SRE reliability initiatives into scalable engineering solutions. This includes designing and delivering capabilities such as inventory management systems, performance testing frameworks, and automated performance result collection. You will also help eliminate manual workflows involved in onboarding new regions, facilities, and clusters, embedding automation and standardisation into every stage of infrastructure deployment. As the organisation scales, you will act as a critical interface between operations and engineering teams. You will evaluate and mature internally built tooling—from capacity planning systems to autonomous remediation pipelines—and help integrate these capabilities into core infrastructure platforms to ensure consistent, high-performance, and highly reliable global operations. WHAT’S IN IT FOR YOU? Join a team building the internal platforms that enable large-scale infrastructure to operate reliably, efficiently, and at speed. As an Infrastructure Tooling & Observability Engineer, you will design and develop the systems that power visibility, automation, and operational intelligence across complex distributed environments. This role goes beyond traditional monitoring. You will build the internal control plane that transforms high-volume telemetry—logs, metrics, and events—into actionable insight for engineering and operations teams. Your work will improve observability across infrastructure systems, strengthen signal quality, and help teams understand and respond to system behaviour in real time. Working closely with SRE and infrastructure engineering teams, you will translate reliability goals into scalable, production-grade tooling. This includes frameworks for observability, alerting, anomaly detection, capacity planning, and service health tracking. A key focus of the role is automation. You will help eliminate manual processes across infrastructure operations, including environment provisioning, cluster onboarding, inventory management, and recurring operational workflows. You will also contribute to performance engineering initiatives, building tooling for testing, benchmarking, and automated results collection at scale. You will play a central role in turning SRE reliability initiatives into reusable engineering solutions, including automated remediation systems and tooling that reduces operational toil while improving system resilience. You can also expect: Exposure to large-scale distributed infrastructure systems Opportunities to shape foundational internal platforms A collaborative, engineering-led culture with strong ownership High-impact work spanning observability, automation, and reliability Close partnership with SRE and infrastructure engineering teams A fast-moving environment where tooling directly improves operational performance KEY RESPONSIBILITIES - Design, build, and evolve internal tooling and observability platforms that support large-scale infrastructure operations across distributed environments. - Develop systems that turn high-volume telemetry (logs, metrics, events) into actionable insight, improving visibility, alerting quality, and operational decision-making. - Translate SRE reliability requirements into scalable, production-ready software solutions, including automation for incident detection, prevention, and remediation. - Drive automation across infrastructure operations, reducing manual effort in areas such as environment provisioning, cluster onboarding, inventory management, and lifecycle workflows. - Build tooling for capacity management, performance testing, benchmarking, and automated collection and analysis of results. - Contribute to Continual Service Improvement (CSI) initiatives by identifying operational inefficiencies and delivering durable engineering solutions. - Work closely with SRE and infrastructure engineering teams to embed observability and reliability into core platform workflows. - Interface with Platform Engineering teams to ensure tooling aligns with broader orchestration and infrastructure strategy. - Integrate and extend existing systems written in Ruby/Rails and Go, contributing to a consistent and maintainable engineering ecosystem. - Develop and maintain automation workflows using Ansible and AWX. - Support CI/CD-driven operational tooling, including GitHub Actions and self-hosted runners. ESSENTIAL SKILLS & EXPERIENCE - Degree in Computer Science/Software Engineering, or equivalent experience - 6–8 years of experience in infrastructure engineering, DevOps, SRE, and/or software engineering roles, with a strong focus on operational systems. - Proven experience in at least one recent DevOps or software engineering role, building or maintaining production infrastructure tooling or platform systems. - Experience working in large-scale or distributed infrastructure environments (hyperscale, enterprise, or similarly complex systems). - Strong programming ability in at least one of: Ruby (Rails), Go, or similar systems languages, with willingness and ability to work across multiple languages and codebases. - Hands-on experience with infrastructure automation tools such as Ansible and orchestration platforms such as AWX. - Strong experience with observability systems, including the Grafana stack (Prometheus, Loki, Mimir, and Grafana Alloy). - Familiarity with low-level telemetry and infrastructure protocols such as SNMP and syslog. - Experience working with Kubernetes or similar orchestration platforms in production environments. - Understanding of API design and integration patterns, particularly REST-based services and service-to-service communication. - Experience building and maintaining CI/CD pipelines, including GitHub Actions and self-hosted runners. - Strong understanding of operational reliability concepts, including monitoring, alerting, capacity planning, and incident response. - Comfortable working closely with SRE, Platform Engineering, and infrastructure teams to translate operational needs into maintainable software systems. Preferred Qualifications - Kubernetes Certified Administrator - Cloud-native observability training courses, attendance at industry conferences in this field - CompTIA+ Security Qualifications - LPI/LPIC certification", "summaryDescription" : "Infrastructure Tooling & Observability Engineer", "createdAt" : "2026-06-14T05:02:12.180", "lastUpdated" : "2026-06-15T13:51:09.906", "ingestTimestamp" : "2026-06-14T05:02:12.180", "mongoId" : "6a2ca06974d8ee00a09a228b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI workloads", "HPC workloads", "GPU fleet", "High-volume telemetry", "Networking layers", "Platform layers", "Distributed environments", "Cloud-native observability", "Kubernetes Certified Administrator", "CompTIA+ Security", "LPI/LPIC certification" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8670f0b99d5843fab2", "title" : "Executive Assistant, AWS Monitoring and Observability", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Administrative Support, Cloud Computing", "salary" : { "min" : 66800.0, "max" : 142800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Santa Clara, California, USA", "locations" : [ "Santa Clara, California, USA" ], "timestamp" : "2026-06-15T05:47:30.425", "fingerprint" : "c5f53b10c1585b696acb39aa89c7723651f1285509b5737d24b7effacf21a2f2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139837/apply", "externalId" : "cab7ac50-8029-4e77-8c22-f3cc261002ff", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Clara", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.2333253,-121.6846349" } ], "locationText" : "Santa Clara, California, United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Coordinate and engage leadership in planning events, Organize events, activities and calendars, Orchestrate complex calendars, Schedule requirements, Prioritize executive's tasks and appointments, Ensure strategic alignment with business priorities, Serve as liaison between leadership and stakeholders, Facilitate clear communication channels, Manage sensitive information with discretion, Execute end-to-end travel logistics, Coordinate complex multi-city itineraries, Plan client-facing events, Plan team visits across corporate offices, Lead planning of events, Plan staff meetings, Plan all-hands meetings, Plan executive offsites, Plan team-building activities, Order supplies, Collaborate with EA Community across AWS, Drive best practices, Implement solutions, Drive organizational efficiency, Develop tracking systems for critical deliverables, Maintain tracking systems for critical deliverables, Ensure on-time completion of executive commitments, Ensure on-time completion of team commitments, Provide status updates to key stakeholders, Have fun at work, Help others have fun", "teamCollaboration" : "Executive leadership; Key stakeholders; Other Executive Assistants; EA Community across AWS; Security Services business; Observability business", "toolProficiency" : [ "Microsoft Office" ], "specialRequirements" : "Five days a week in office", "qualificationsBasic" : "Microsoft Office products and applications, 5+ years senior level leadership support, Managing executive level calendars, Domestic or international travel coordination", "qualificationsPreferred" : "Leading process improvements, Fast-paced, high-tech company experience, Designing processes to maximize efficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Observability organization is seeking a proactive, customer service obsessed, and team-oriented Executive Assistant to support a VP leader in a key role within our org, based in our Seattle, WA offices. This role requires attention to detail, organizational skills, and the ability to meet tight deadlines and juggle multiple critical requests across internal and external stakeholders. You will act as a seamless extension of the supported VP and will work closely with other Executive Assistants throughout the organization as well as in the Security Services and Observability business. You will be comfortable in a fast-paced, goal-focused environment, while maintaining flexibility, a sense of humor and composure. Key to the position is the ability to be organized, understand business priorities, and to anticipate needs proactively while also serving as another \"go to\" for all members on this team. In addition, the ability to have a high level of integrity and discretion in handling confidential information and professionalism in dealing with senior professionals inside and outside the company is critical. You will possess the ability to complete complex tasks quickly with little guidance, react with appropriate urgency to situations that require a quick turnaround, and take effective action without having to know the whole picture. This role requires five (5) days a week in office. Key job responsibilities Responsibilities include but are not limited to: - Proactively coordinate and engage with leadership in planning and organizing events, activities and calendars - Orchestrate complex calendars, scheduling requirements, and prioritization of executive's tasks and appointments across time zones according to their importance, urgency, and relevance and ensuring strategic alignment with business priorities. - Serve as a trusted liaison between executive leadership and key stakeholders, facilitating clear communication channels and managing sensitive information with the highest level of discretion - Execute end-to-end travel logistics for international and domestic trips, including complex multi-city itineraries, client-facing events, and team visits across corporate offices. - Lead the planning of events including staff meetings, all-hands meetings, executive offsites, team-building activities, supply ordering. - Collaborate with the EA Community across AWS to drive best practices, implement solutions, and drive organizational efficiency. - Develop and maintain tracking systems for critical deliverables, ensuring on-time completion of executive and team commitments and providing regular status updates to key stakeholders. - Have fun at work and help others do the same! Basic Qualifications: - Experience with Microsoft Office products and applications - 5+ years of senior level leadership support experience - Experience managing executive level calendars - Experience with domestic or international travel coordination Preferred Qualifications: - Experience leading process improvements - Experience in a fast-paced, high-tech company - Experience designing processes to maximize efficiency 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 $66,800/year in our lowest geographic market up to $142,800/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" : "Executive Assistant, AWS Monitoring and Observability at Amazon Development Center U.S., Inc.. Coordinate and engage leadership in planning events. Organize events, activities and calendars", "postedDate" : "2026-06-13T13:39:59.573", "createdAt" : "2026-06-13T13:39:59.573", "lastUpdated" : "2026-06-15T05:47:30.425", "ingestTimestamp" : "2026-06-13T13:39:59.573", "mongoId" : "693c2b8670f0b99d5843fab2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139837/apply", "salaryAnnualMin" : 66800, "salaryAnnualMax" : 142800, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Microsoft Office" ], "skillCount" : 1, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30833bf292fd229c070492", "title" : "Maintenance Technician for Solar Monitoring System", "company" : "UL Solutions", "industry" : "Renewables And Environment", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Maintenance Technician in Ionia, United States, adjusted for the climate tech industry and contract employment type." }, "location" : "Ionia, MI, United States", "locations" : [ "Ionia", "MI", "United States" ], "timestamp" : "2026-06-16T10:58:18.590", "fingerprint" : "65f9b638d69831fcf834f21b339afcb30fd0b3613a18af4e9c5ac7028deafec7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AWSTruepower/744000132290299-maintenance-technician-for-solar-monitoring-system-in-ionia-county-mi-training-provided-2-4-hours-a-week-", "externalId" : "744000132290299", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ionia", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.9469688,-85.0713945" } ], "locationText" : "Ionia, Michigan, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "UL Solutions is a trusted independent advisory, testing, inspection, and certification body for a broad range of industries. Our comprehensive portfolio of renewable energy solutions helps stakeholders plan, design, finance, build, invest, operate, maintain, and manage wind both on land and offshore, and solar throughout the project lifecycle and across the value chain. Working with UL Solutions means you have proven science, expert engineering, and innovative solutions that address the unique challenges of these industries. With offices in over 140 countries, a team of over 500 experts, and 35 years of experience we are well positioned to help mitigate risk and navigate complexities associated with renewable energy to empower successful outcomes. While the Maintenance Technician position is temporary, you'll be hired as a UL-employee (W-2) with payroll management with our trusted partner, Cypress HCM. We very much look forward to working with you! UL Solutions, will be installing a solar monitoring system (SMS) near Muir, Ionia County, MI on behalf of one of our Clients. The station is (roughly 25x25 footprint) consists of a few solar panels, (2) 7-foot tripods, and scientific measurement equipment surrounded by a locked chain link fence. The station will be monitoring the solar resource as well as other meteorological and weather-related parameters. The station requires weekly maintenance, on the same day each week during daylight hours to ensure consistent and accurate data is being collected for a minimum of 1 year and maximum of 2 years. Your duties will include the following: 1. Uphold highest level of communication as first point of contact for equipment in field; 2. Ensure all equipment is level & clean on a weekly basis; 3. Provide troubleshooting (w/support from UL Solutions) and when requested, repair(s) for low-medium complexity issues; 4. Ensure there is no debris obstructing the system (depending on site/region, grass cutting, snow removal, or clearing brush); and 5. Confirm the system is secure and hasn’t been tampered with. Each maintenance visit should take 60-90 minutes. UL Solutions requires a weekly excel logbook uploaded via internet along with photos and other documentation to support the visit which should take 45-90 minutes. The entire process is estimated to require between 2-4 hours each week, including travel time to and from site. Occasionally, UL Solutions may request your assistance in replacing or troubleshooting equipment. A Senior Engineer would contact you to walk you through the process. They will support you while onsite and review data after the equipment repair. ## Qualifications No solar experience is required, but is preferred. Training will be provided remotely via phone and video, potential onsite training when possible. Must be able to take instruction remotely throughout length of contract term. Must use own transportation to and from remote SMS location (4WD/AWD preferred.) Willing/able to walk to and from site, typically no more than ¼ mile in one direction. Required to climb and work comfortably from a 6 or 8-foot ladder (provided). Required maintenance of equipment utilizing levels, screwdriver, and other hand tools (provided). Must have demonstrated computer literacy, including ability to upload attachments with their own version of Microsoft Office (Excel and Word) to our SharePoint website with reliable internet. A smart phone is required to take site photos as well as to communicate with UL Solutions' staff while on site in an event of an emergency, etc. A desktop computer, laptop or tablet with internet capability is required for uploading maintenance photos and updating excel maintenance logbook. Required to treat all applicable information as confidential. ## Additional Information UL is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, genetic predisposition, or any other basis protected by law. As part of our process with all new maintenance technicians this contract may be subject to a successful background check and drug screen.", "summaryDescription" : "Maintenance Technician for Solar Monitoring System at UL Solutions", "postedDate" : "2026-06-15T21:54:38.000", "createdAt" : "2026-06-16T01:42:23.147", "lastUpdated" : "2026-06-16T10:58:18.590", "ingestTimestamp" : "2026-06-16T01:42:23.147", "mongoId" : "6a30833bf292fd229c070492", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30737ef292fd229c0024d4", "title" : "Maintenance Technician for Solar Monitoring System", "company" : "UL Solutions", "industry" : "Renewables And Environment", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Maintenance Technician in Monticello, NY, adjusted for the climate tech industry and contract employment type." }, "location" : "Monticello, NY, United States", "locations" : [ "Monticello", "NY", "United States" ], "timestamp" : "2026-06-16T12:32:22.778", "fingerprint" : "f169b1788552d0c597bec4538aa1a46f86a7b6a2d76a0968e9420027418065f7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AWSTruepower/744000132289809-maintenance-technician-for-solar-monitoring-system-in-sullivan-county-ny-training-provided-2-4-hours-a-week-", "externalId" : "744000132289809", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monticello", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.6556465,-74.6893282" } ], "locationText" : "Monticello, New York, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Perform routine maintenance, Troubleshoot and repair equipment, Maintain accurate maintenance logs, Ensure compliance with safety regulations, Assist with inventory management, Respond to maintenance requests", "documentationSkills" : "Maintenance logs", "problemSolvingSkills" : "Troubleshoot equipment", "qualificationsBasic" : "5+ years experience, Associate's degree", "qualificationsPreferred" : "Bachelor's degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UL Solutions is a trusted independent advisory, testing, inspection, and certification body for a broad range of industries. Our comprehensive portfolio of renewable energy solutions helps stakeholders plan, design, finance, build, invest, operate, maintain, and manage wind both on land and offshore, and solar throughout the project lifecycle and across the value chain. Working with UL Solutions means you have proven science, expert engineering, and innovative solutions that address the unique challenges of these industries. With offices in over 140 countries, a team of over 500 experts, and 35 years of experience we are well positioned to help mitigate risk and navigate complexities associated with renewable energy to empower successful outcomes. While the Maintenance Technician position is temporary, you'll be hired as a UL-employee (W-2) with payroll management with our trusted partner, Cypress HCM. We very much look forward to working with you! UL Solutions, will be installing a solar monitoring system (SMS) near Monticello, Sullivan County, NY on behalf of one of our Clients. The station is (roughly 25x25 footprint) consists of a few solar panels, (2) 7-foot tripods, and scientific measurement equipment surrounded by a locked chain link fence. The station will be monitoring the solar resource as well as other meteorological and weather-related parameters. The station requires weekly maintenance, on the same day each week during daylight hours to ensure consistent and accurate data is being collected for a minimum of 1 year and maximum of 2 years. Your duties will include the following: 1. Uphold highest level of communication as first point of contact for equipment in field; 2. Ensure all equipment is level & clean on a weekly basis; 3. Provide troubleshooting (w/support from UL Solutions) and when requested, repair(s) for low-medium complexity issues; 4. Ensure there is no debris obstructing the system (depending on site/region, grass cutting, snow removal, or clearing brush); and 5. Confirm the system is secure and hasn’t been tampered with. Each maintenance visit should take 60-90 minutes. UL Solutions requires a weekly excel logbook uploaded via internet along with photos and other documentation to support the visit which should take 45-90 minutes. The entire process is estimated to require between 2-4 hours each week, including travel time to and from site. Occasionally, UL Solutions may request your assistance in replacing or troubleshooting equipment. A Senior Engineer would contact you to walk you through the process. They will support you while onsite and review data after the equipment repair. ## Qualifications Qualifications No solar experience is required, but is preferred. Training will be provided remotely via phone and video, potential onsite training when possible. Must be able to take instruction remotely throughout length of contract term. Must use own transportation to and from remote SMS location (4WD/AWD preferred.) Willing/able to walk to and from site, typically no more than ¼ mile in one direction. Required to climb and work comfortably from a 6 or 8-foot ladder (provided). Required maintenance of equipment utilizing levels, screwdriver, and other hand tools (provided). Must have demonstrated computer literacy, including ability to upload attachments with their own version of Microsoft Office (Excel and Word) to our SharePoint website with reliable internet. A smart phone is required to take site photos as well as to communicate with UL Solutions' staff while on site in an event of an emergency, etc. A desktop computer, laptop or tablet with internet capability is required for uploading maintenance photos and updating excel maintenance logbook. Required to treat all applicable information as confidential. ## Additional Information UL is an equal opportunity employer and does not discriminate based on race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, genetic predisposition, or any other basis protected by law. As part of our process with all new maintenance technicians this contract may be subject to a successful background check and drug screen.", "summaryDescription" : "Maintenance Technician for Solar Monitoring System at UL Solutions. Perform routine maintenance. Troubleshoot and repair equipment", "postedDate" : "2026-06-15T21:47:43.000", "createdAt" : "2026-06-16T01:33:41.554", "lastUpdated" : "2026-06-16T12:32:22.778", "ingestTimestamp" : "2026-06-16T01:33:41.554", "mongoId" : "6a30737ef292fd229c0024d4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 48000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f69f292fd229c058ed8", "title" : "Senior Software Engineer, Cloud Infrastructure Monitoring", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in Taipei, Taiwan, adjusted for the technology industry and full-time employment." }, "location" : "[Taipei, Taiwan, [110, Taiwan, Taipei City, Xinyi District, Ankang Village, Section 5, Xinyi Rd, 109號2樓], Ankang Village, 110, Taipei City, TW]", "locations" : [ "[Taipei, Taiwan, [110, Taiwan, Taipei City, Xinyi District, Ankang Village, Section 5, Xinyi Rd, 109號2樓], Ankang Village, 110, Taipei City, TW]" ], "timestamp" : "2026-06-16T11:28:19.003", "fingerprint" : "b0acae9bee45ada36e1a13d75ebddef58d9b642860e6e2cad571d3ce639030ef", "source" : "google", "language" : "en", "externalId" : "142748843069317830", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Software Engineer, Cloud Infrastructure Monitoring", "postedDate" : "2026-06-16T01:51:38.904", "createdAt" : "2026-06-16T01:51:38.904", "lastUpdated" : "2026-06-16T11:28:19.003", "ingestTimestamp" : "2026-06-16T01:51:38.904", "mongoId" : "6a307f69f292fd229c058ed8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "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. 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Building regulations", "domainList" : [ "data-centre-projects", "building-regulations" ], "domainSpecificKnowledge" : [ "Data Centre projects", "Building regulations" ], "toolProficiency" : [ "Microsoft Word", "Microsoft Excel", "Microsoft Project Schedule", "Autodesk Revit" ], "communicationSkills" : "Written communication; Communication skills", "documentationSkills" : "Architectural contract documents; Specifications", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "Bachelor's degree Architecture, 3+ years Data Centre projects, Registered Architect, Building contracts experience, Microsoft Office Suite, Autodesk Revit proficiency, Architectural contract documents, Building regulations knowledge", "qualificationsPreferred" : "Master's degree Architecture, Photoshop, Illustrator, SketchUp, 3-D Studio Max knowledge, Rhino and Grasshopper experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Requirements Bachelor's degree in Architecture or closely related field 3+ years’ experience of working with Data Centre projects is desirable. Registered Architect Understanding and experience of various building contracts Experience with Microsoft Office (Word, Excel, Project Schedule) Excellent written and communication skills Excellent analytical and problem-solving skills Proficient in use of Autodesk Revit and familiarity with related tools and process Demonstrated graphic presentation skills Must have experience in preparation and layout of architectural contract documents and specifications Strong knowledge of building regulations and good planning skills An attitude and commitment to being an active participant of our employee-owned culture is a must Preferred Qualifications Master's degree in Architecture Knowledge of Photoshop, Illustrator, SketchUp and 3-D Studio Max but not required Rhino and Grasshopper experience Why HDR At HDR, we know work isn't only about who you work for it's also about what you do and how you do it. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other's contributions, and collaborate together to make great things possible. When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way. United Kingdom-England-London", "summaryDescription" : "Architect for Social Infrastructure at HDR. Skills: Architecture, Data Centre projects, Autodesk Revit. Prepare architectural contract documents. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United Kingdom-England-London", "summaryDescription" : "Project Architect for Social Infrastructure. Skills: Architecture, Autodesk Revit. Prepare architectural contract documents. Layout architectural contract documents", "createdAt" : "2026-06-14T20:44:31.246", "lastUpdated" : "2026-06-16T00:34:06.920", "ingestTimestamp" : "2026-06-14T20:44:31.246", "mongoId" : "6a16291c58b93c861e95a307", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Contract document preparation", "Specification writing", "Architecture", "Autodesk Revit", "Problem-solving", "Graphic presentation", "Project Schedule", "Social Infrastructure", "Registered Architect", "Microsoft Word", "Microsoft Excel", "Microsoft Project Schedule" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Non-Profit", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305118f292fd229cef9890", "title" : "DevOps/Observability Engineer", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior DevOps/Observability Engineer in Bulgaria, adjusted for remote work and the technology industry." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:07:52.421", "fingerprint" : "82d9f37dbd41a8f60e0c1b332cfacd5c74e0c06ed95d0f543573bafb4f863882", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/976aa58f-95cc-47d2-953f-822a5bcd5394/apply", "externalId" : "976aa58f-95cc-47d2-953f-822a5bcd5394", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "OpenTelemetry, Prometheus, Grafana, CloudWatch, CloudTrail, VPC Flow Logs, Splunk HEC, Alertmanager, PromQL, Terraform, Kubernetes, EKS, ECS", "professionalSkills" : [ "System design", "Cost optimization", "Performance optimization" ], "hardSkillsList" : [ "Observability architectures", "Log aggregation", "Alerting frameworks", "Infrastructure as Code", "Container orchestration" ], "hardSkills" : [ { "name" : "Observability architectures", "level" : "intermediate" }, { "name" : "Log aggregation", "level" : "intermediate" }, { "name" : "Alerting frameworks", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" } ], "majorSkills" : "Observability, DevOps, AWS, Kubernetes", "majorSkillsList" : [ "Observability", "DevOps", "AWS", "Kubernetes" ], "coreResponsibilities" : "Design and implement end-to-end observability architectures, Build and maintain centralized observability pipelines, Develop scalable log aggregation and routing strategies, Create advanced alerting frameworks, Create high-quality dashboards, Deploy and manage observability infrastructure, Support Kubernetes and container-based observability, Optimize observability systems for performance, Optimize observability systems for cost efficiency, Optimize observability systems for scalability, Collaborate with engineering teams to improve system reliability, Collaborate with engineering teams to improve monitoring standards, Collaborate with engineering teams to improve incident response", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Cloud environments; Multi-account AWS; Distributed systems; Cloud-native environments", "domainList" : [ "cloud-environments", "multi-account-aws", "distributed-systems", "cloud-native-environments" ], "domainSpecificKnowledge" : [ "Cloud environments", "Multi-account AWS", "Distributed systems", "Cloud-native environments" ], "toolProficiency" : [ "OpenTelemetry", "Prometheus", "Grafana", "CloudWatch", "CloudTrail", "Splunk HEC", "Alertmanager", "Terraform", "Kubernetes" ], "continuousLearning" : "AI; Cloud; Platform engineering", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Debugging", "qualificationsBasic" : "8+ years of experience in DevOps, Site Reliability Engineering, or Observability Engineering roles, Hands-on experience designing unified observability pipelines using OpenTelemetry, Prometheus, and Grafana, Deep expertise in AWS observability services including CloudWatch, CloudTrail, and cross-account telemetry strategies, Proven ability to build and manage large-scale log aggregation systems and optimize high-volume data pipelines, Experience with Kubernetes (EKS) or containerized environments (ECS) in production settings, Advanced proficiency with Terraform or other Infrastructure as Code tools for infrastructure and observability deployments, Experience building alerting systems, dashboards, and monitoring frameworks for distributed systems, Understanding of cost optimization strategies for observability platforms (log filtering, metric reduction, storage tiering), Excellent problem-solving, debugging, and collaboration skills in complex cloud-native environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and implement end-to-end observability architectures using OpenTelemetry, Prometheus, Grafana, and related tools across cloud environments. Build and maintain centralized observability pipelines across multi-account AWS environments, including CloudWatch, CloudTrail, and VPC Flow Logs. Develop scalable log aggregation and routing strategies, including filtering, noise reduction, and integration with systems such as Splunk HEC. Create advanced alerting frameworks and high-quality dashboards using Alertmanager, CloudWatch Alarms, and Grafana with PromQL. Deploy and manage observability infrastructure using Infrastructure as Code tools such as Terraform. Support Kubernetes and container-based observability across EKS and ECS environments. Optimize observability systems for performance, cost efficiency, and scalability in large-scale production environments. Collaborate with engineering teams to improve system reliability, monitoring standards, and incident response capabilities. Requirements: 8+ years of experience in DevOps, Site Reliability Engineering, or Observability Engineering roles. Strong hands-on experience designing unified observability pipelines using OpenTelemetry, Prometheus, and Grafana. Deep expertise in AWS observability services including CloudWatch, CloudTrail, and cross-account telemetry strategies. Proven ability to build and manage large-scale log aggregation systems and optimize high-volume data pipelines. Strong experience with Kubernetes (EKS) or containerized environments (ECS) in production settings. Advanced proficiency with Terraform or other Infrastructure as Code tools for infrastructure and observability deployments. Experience building alerting systems, dashboards, and monitoring frameworks for distributed systems. Strong understanding of cost optimization strategies for observability platforms (log filtering, metric reduction, storage tiering). Excellent problem-solving, debugging, and collaboration skills in complex cloud-native environments. Benefits: Competitive compensation aligned with experience and market benchmarks. Remote work flexibility within United States. Opportunity to work on large-scale, AI-driven, cloud-native infrastructure systems. Exposure to enterprise clients and high-impact digital transformation projects. Hands-on experience with leading observability and cloud technologies in production environments. Strong learning and upskilling culture in AI, cloud, and platform engineering. Collaborative, high-performance engineering environment focused on innovation and reliability. Opportunity to shape next-generation observability practices at scale. ## 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" : "DevOps/Observability Engineer. Skills: Observability, DevOps, AWS, Kubernetes. Design and implement end-to-end observability architectures. Build and maintain centralized observability pipelines", "postedDate" : "2026-06-15T08:26:25.600", "createdAt" : "2026-06-15T08:26:25.600", "lastUpdated" : "2026-06-16T11:07:52.421", "ingestTimestamp" : "2026-06-16T03:20:46.097", "mongoId" : "6a305118f292fd229cef9890", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Observability architectures", "Log aggregation", "Alerting frameworks", "Infrastructure as Code", "Container orchestration", "Observability", "DevOps", "AWS", "Kubernetes", "System design", "Cost optimization", "Performance optimization", "Cloud environments", "Multi-account AWS", "Distributed systems", "Cloud-native environments", "OpenTelemetry", "Prometheus", "Grafana", "CloudWatch", "CloudTrail", "Splunk HEC", "Alertmanager", "Terraform" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305118f292fd229cef988e", "title" : "DevOps/Observability Engineer", "industry" : "IT", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior DevOps/Observability Engineer in Bulgaria, adjusted for executive seniority and full-time employment." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T11:48:45.432", "fingerprint" : "20ea23076aaa59286c631ffb406d89a97e7f7142c10ee757dc86b8b7e2712eaf", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/4cb8a5de-4a0a-42e4-af5b-b2fad9c41107/apply", "externalId" : "4cb8a5de-4a0a-42e4-af5b-b2fad9c41107", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "OpenTelemetry, Prometheus, Grafana, CloudWatch, CloudTrail, VPC Flow Logs, Splunk HEC, Alertmanager, CloudWatch Alarms, PromQL, Terraform, Kubernetes, EKS, ECS", "professionalSkills" : [ "System design", "Cost optimization", "Performance optimization", "Scalability optimization" ], "hardSkillsList" : [ "Observability architecture", "Log aggregation", "Infrastructure as Code", "Alerting frameworks", "Dashboard creation", "Container orchestration" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Observability architecture", "level" : "intermediate" }, { "name" : "Log aggregation", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "Alerting frameworks", "level" : "intermediate" }, { "name" : "Dashboard creation", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Observability, DevOps, AWS, Kubernetes", "majorSkillsList" : [ "Observability", "DevOps", "AWS", "Kubernetes" ], "coreResponsibilities" : "Design observability architectures, Implement observability architectures, Build observability pipelines, Maintain observability pipelines, Develop log aggregation strategies, Develop log routing strategies, Filter logs, Reduce log noise, Integrate with systems, Create alerting frameworks, Create high-quality dashboards, Deploy observability infrastructure, Manage observability infrastructure, Support Kubernetes observability, Support container-based observability, Optimize observability systems, Collaborate with engineering teams, Improve system reliability, Improve monitoring standards, Improve incident response capabilities", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Cloud environments; Multi-account AWS; Distributed systems; Cloud-native environments", "domainList" : [ "cloud-environments", "multi-account-aws", "distributed-systems", "cloud-native-environments" ], "domainSpecificKnowledge" : [ "Cloud environments", "Multi-account AWS", "Distributed systems", "Cloud-native environments" ], "toolProficiency" : [ "OpenTelemetry", "Prometheus", "Grafana", "CloudWatch", "CloudTrail", "Splunk HEC", "Alertmanager", "Terraform", "EKS", "ECS" ], "continuousLearning" : "AI; Cloud; Platform engineering", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving; Debugging", "qualificationsBasic" : "8+ years of experience, Hands-on experience designing unified observability pipelines, Deep expertise in AWS observability services, Proven ability to build and manage large-scale log aggregation systems, Experience with Kubernetes (EKS) or containerized environments (ECS), Advanced proficiency with Terraform or other Infrastructure as Code tools, Experience building alerting systems, dashboards, and monitoring frameworks", "qualificationsPreferred" : "Understanding of cost optimization strategies", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design and implement end-to-end observability architectures using OpenTelemetry, Prometheus, Grafana, and related tools across cloud environments. Build and maintain centralized observability pipelines across multi-account AWS environments, including CloudWatch, CloudTrail, and VPC Flow Logs. Develop scalable log aggregation and routing strategies, including filtering, noise reduction, and integration with systems such as Splunk HEC. Create advanced alerting frameworks and high-quality dashboards using Alertmanager, CloudWatch Alarms, and Grafana with PromQL. Deploy and manage observability infrastructure using Infrastructure as Code tools such as Terraform. Support Kubernetes and container-based observability across EKS and ECS environments. Optimize observability systems for performance, cost efficiency, and scalability in large-scale production environments. Collaborate with engineering teams to improve system reliability, monitoring standards, and incident response capabilities. Requirements: 8+ years of experience in DevOps, Site Reliability Engineering, or Observability Engineering roles. Strong hands-on experience designing unified observability pipelines using OpenTelemetry, Prometheus, and Grafana. Deep expertise in AWS observability services including CloudWatch, CloudTrail, and cross-account telemetry strategies. Proven ability to build and manage large-scale log aggregation systems and optimize high-volume data pipelines. Strong experience with Kubernetes (EKS) or containerized environments (ECS) in production settings. Advanced proficiency with Terraform or other Infrastructure as Code tools for infrastructure and observability deployments. Experience building alerting systems, dashboards, and monitoring frameworks for distributed systems. Strong understanding of cost optimization strategies for observability platforms (log filtering, metric reduction, storage tiering). Excellent problem-solving, debugging, and collaboration skills in complex cloud-native environments. Benefits: Competitive compensation aligned with experience and market benchmarks. Remote work flexibility within Canada. Opportunity to work on large-scale, AI-driven, cloud-native infrastructure systems. Exposure to enterprise clients and high-impact digital transformation projects. Hands-on experience with leading observability and cloud technologies in production environments. Strong learning and upskilling culture in AI, cloud, and platform engineering. Collaborative, high-performance engineering environment focused on innovation and reliability. Opportunity to shape next-generation observability practices at scale. ## 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" : "DevOps/Observability Engineer. Skills: Observability, DevOps, AWS, Kubernetes. Design observability architectures. Implement observability architectures", "postedDate" : "2026-06-15T08:25:46.131", "createdAt" : "2026-06-15T08:25:46.131", "lastUpdated" : "2026-06-16T11:48:45.432", "ingestTimestamp" : "2026-06-16T03:20:46.910", "mongoId" : "6a305118f292fd229cef988e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Observability architecture", "Log aggregation", "Infrastructure as Code", "Alerting frameworks", "Dashboard creation", "Container orchestration", "Problem-solving", "Observability", "DevOps", "AWS", "Kubernetes", "System design", "Cost optimization", "Performance optimization", "Scalability optimization", "Cloud environments", "Multi-account AWS", "Distributed systems", "Cloud-native environments", "OpenTelemetry", "Prometheus", "Grafana", "CloudWatch", "CloudTrail", "Splunk HEC", "Alertmanager", "Terraform", "EKS", "ECS" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a21770974d8ee00a0c1b9c0", "title" : "Applied Scientist, Observability and Triage", "company" : "Amazon Development Centre (London) Limited", "industry" : "Applied Science, entertainment", "salary" : { "min" : 110000.0, "max" : 165000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Applied Scientist in London, UK, adjusted for the technology industry and a large company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T01:14:04.532", "fingerprint" : "896893743c5aa965cc72caa3de5bd3d19eae548f2c439725967239f16bcb1286", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435740/apply", "externalId" : "00bb23c4-b246-4cca-8b21-b34cc101d4fb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "technicalSkills" : "Java, C++, Python, Generative AI, Large models", "professionalSkills" : [ "Observability", "Incident triage", "Root cause analysis", "Resolution recommendation" ], "hardSkillsList" : [ "Machine learning", "Quantitative experimentation" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Quantitative experimentation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine learning, Observability", "majorSkillsList" : [ "Generative AI", "Machine learning", "Observability" ], "coreResponsibilities" : "Design and develop machine learning and generative AI, Develop automated incident triage systems, Develop root cause analysis systems, Develop resolution recommendation systems, Prototype and evaluate hypotheses, Leverage quantitative experimentation, Leverage domain expertise, Build evaluation frameworks, Measure model accuracy, Integrate ML models into production observability systems, Communicate results and insights, Analyse patterns across operational incidents, Improve automated triage model, Design experiment for Generative-AI based approach, Identify root causes for complex multi-service incidents", "teamCollaboration" : "Development teams; Software engineering teams; Operational stakeholders", "domainKnowledge" : "Operational systems", "domainList" : [ "operational-systems" ], "domainSpecificKnowledge" : [ "Operational systems" ], "communicationSkills" : "Technical presentations; Written reports", "innovationCreativity" : "Innovating on behalf of customers; Greenfield project", "problemSolvingSkills" : "Root cause analysis; Anomaly detection", "outcomesObjectives" : "Reduce operational load; Detect anomalies; Identify root causes; Recommend resolution paths; Take action for operational incidents; Reduce time and effort spent responding to operational events; Remove customer impact", "qualificationsBasic" : "Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience in building machine learning models for business application, Master's degree in CS, CE, ML or equivalent relevant work experience", "qualificationsPreferred" : "PhD preferred, Experience using Unix/Linux, Experience in professional software development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Observability and Triage team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a wide impact role working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will develop AI-driven solutions that automatically detect anomalies, identify root causes, recommend resolution paths and take action for operational incidents. We consume petabytes of data daily across multiple metric, log and data based events and you would be experimenting on how to shape the future through this data. You will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact. Key job responsibilities - Design and develop machine learning and generative AI systems for automated incident triage, root cause analysis, and resolution recommendation at scale - Rapidly prototype and evaluate hypotheses in a high-ambiguity environment, leveraging both quantitative experimentation and domain expertise in operational systems - Build evaluation frameworks (including LLM-as-a-Judge approaches) to measure model accuracy across triage accuracy and root cause prediction - Collaborate with software engineering teams to integrate ML models into production observability systems serving hundreds of development teams - Communicate results and insights to both technical and non-technical audiences, including through publications, presentations, and written reports A day in the life On a typical day, you analyse patterns across thousands of operational incidents to improve an automated triage model, then design an experiment to test whether a new Generative-AI based approach better identifies root causes for complex multi-service incidents. Your internal customers are Prime Video development teams who rely on your solutions to reduce the time and effort spent responding to operational events. You will collaborate closely with software engineers, and operational stakeholders across the world to ensure your research translates into production systems that measurably remove customer impact. About the team Our team builds AI-powered observability and triage solutions for Prime Video development teams, consuming petabytes of data daily to automatically detect, diagnose, and recommend resolutions for operational incidents. Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - PhD, or Master's degree in CS, CE, ML or equivalent relevant work experience Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Applied Scientist, Observability and Triage at Amazon Development Centre (London) Limited. Skills: Generative AI, Machine learning, Observability. Design and develop machine learning and generative AI. Develop automated incident triage systems", "postedDate" : "2026-06-13T06:49:12.096", "createdAt" : "2026-06-13T06:49:12.096", "lastUpdated" : "2026-06-15T01:14:04.532", "ingestTimestamp" : "2026-06-13T06:49:12.096", "mongoId" : "6a21770974d8ee00a0c1b9c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435740/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Quantitative experimentation", "Generative AI", "Observability", "Incident triage", "Root cause analysis", "Resolution recommendation", "Operational systems" ], "skillCount" : 8, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69164d7770f0b99d586f202a", "title" : "Satellite Tooling and GSE Engineer, Amazon Leo Tooling and GSE Engineering", "company" : "Amazon Kuiper Manufacturing Enterprises LLC", "industry" : "Operations, IT, Support Engineering, Hardware Development, alexa and amazon devices", "salary" : { "min" : 128600.0, "max" : 213600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-14T22:39:21.026", "fingerprint" : "da83ac1f8b01f9758d422bb8f25ce669c607bc35f553228c426354627a263994", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3122397/apply", "externalId" : "c6dbf0aa-f75d-4a23-a913-dcd4a7b6241c", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CAD Design, 3D modeling, GD&T, Finite Element Analysis", "professionalSkills" : [ "Design analysis", "Life cycle management", "Concept development", "Process development", "Cost estimate", "Project management" ], "hardSkillsList" : [ "Structural analysis", "Hand calculations", "Finite Element Analysis", "CAD Design", "3D modeling", "GD&T" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Structural analysis", "level" : "intermediate" }, { "name" : "Hand calculations", "level" : "intermediate" }, { "name" : "Finite Element Analysis", "level" : "intermediate" }, { "name" : "CAD Design", "level" : "intermediate" }, { "name" : "3D modeling", "level" : "intermediate" }, { "name" : "GD&T", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Tooling design, GSE development, Satellite assembly, Production transition", "majorSkillsList" : [ "Tooling design", "GSE development", "Satellite assembly", "Production transition" ], "coreResponsibilities" : "Develop custom tooling, Design custom tooling, Analyze custom tooling, Implement custom tooling, Convert requests into systems, Manage projects, Estimate costs, Schedule projects, Procure parts/components/assemblies, Manage life cycle, Mentor engineers, Develop system architect, Develop concept, Develop process", "teamCollaboration" : "Work with leaders; Work with multiple teams", "projectManagementSkills" : [ "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks" ], "domainKnowledge" : "Satellite assembly; Ground support equipment", "domainList" : [ "satellite-assembly", "ground-support-equipment" ], "domainSpecificKnowledge" : [ "Satellite assembly", "Ground support equipment" ], "innovationCreativity" : "Develop custom tooling; Design custom tooling; Analyze custom tooling; Implement custom tooling", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "U. S. citizen or national, U. S. permanent resident, Lawfully admitted refugee, Granted asylum", "qualificationsBasic" : "5+ years electrical/mechanical engineering, 2+ years project management, 4+ years CAD Design, 2+ years structural analysis, Experience with prototyping", "qualificationsPreferred" : "Project management of technical projects, Movement/handling GSE heavy load, Overhead lift tooling experience, Aerospace experience, Load transfer high value hardware", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. As a Mechanical Design Engineer for Leo Tooling, you will support the program on the transition from development into stable production. You will develop, design, analyze, and implement custom tooling and equipment required for assembling and testing the satellite. You will need to convert the requests from various teams into systems that are easy to use, cost effective, and accurate. In addition, you will be responsible for project management, cost estimate and scheduling. This is a fast-paced, intellectually challenging position, and you’ll work with leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment. We will need to tackle problems that span a variety of domains. Key job responsibilities - Design and analysis skills and experience - Procurement of parts/components/assemblies for tool/equipment - Hands on life cycle management: Concept through equipment usage in production - Mentoring and leadership for less experienced engineers - System architect, concept and process development 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: - 5+ years of electrical or mechanical engineering experience - Experience with prototyping and implementation - 2+ years of project management, including resource planning, managing schedules, reporting project status and prioritizing tasks experience - 4+ years of experience with CAD Design of complex systems including 3D modeling, drawings, and GD&T - 2+ years of experience of structural analysis including hand calculations and Finite Element Analysis Preferred Qualifications: - Experience with the project management of technical projects - Movement and handling GSE experience of heavy load (>800 kg), high value hardware - Overhead lift tooling experience - Aerospace experience - Load transfer of high value hardware, managing constraints 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/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" : "Satellite Tooling and GSE Engineer, Amazon Leo Tooling and GSE Engineering at Amazon Kuiper Manufacturing Enterprises LLC. Skills: Tooling design, GSE development, Satellite assembly, Production transition. Develop custom tooling. Design custom tooling", "postedDate" : "2026-06-12T22:58:36.253", "createdAt" : "2026-06-12T22:58:36.253", "lastUpdated" : "2026-06-14T22:39:21.026", "ingestTimestamp" : "2026-06-12T22:58:36.253", "mongoId" : "69164d7770f0b99d586f202a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3122397/apply", "salaryAnnualMin" : 128600, "salaryAnnualMax" : 213600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Structural analysis", "Hand calculations", "Finite Element Analysis", "CAD Design", "3D modeling", "GD&T", "Leadership", "Mentoring", "Tooling design", "GSE development", "Satellite assembly", "Production transition", "Design analysis", "Life cycle management", "Concept development", "Process development", "Cost estimate", "Project management", "Resource planning", "Managing schedules", "Reporting project status", "Prioritizing tasks", "Ground support equipment" ], "skillCount" : 23, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Aerospace" }, { "id" : "6a2a473f74d8ee00a05d8ca3", "title" : "Principal Product Manager Infrastructure, Observability", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Principal Product Manager, Infrastructure, Observability in the United States, with adjustments for lead seniority, technology industry, and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T21:26:46.055", "fingerprint" : "258accf633c934be66691f8cef0b92a3573b0cab5dfbc39377ff989eeda3c8e8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7992591&gh_jid=7992591", "externalId" : "7992591", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Search AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories" ], "hardSkillsList" : [ "Infrastructure Observability" ], "hardSkills" : [ { "name" : "Infrastructure Observability", "level" : "intermediate" } ], "majorSkills" : "Product Management, Observability, Infrastructure", "majorSkillsList" : [ "Product Management", "Observability", "Infrastructure" ], "coreResponsibilities" : "Define vision and strategy for Infrastructure Observability, Align strategy with organizational and company strategy, Identify gaps in end to end experience, Define roadmap to fill gaps, Own roadmap to fill gaps, Work across teams and organizations, Collaborate with Engineering, Collaborate with UX, Collaborate with Design, Deliver on roadmap, Bring top notch experiences to users", "teamCollaboration" : "Cross-functional teams; Across organizations", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Infrastructure Observability; Observability domain", "domainList" : [ "infrastructure-observability", "observability-domain" ], "domainSpecificKnowledge" : [ "Infrastructure Observability", "Observability domain" ], "problemSolvingSkills" : "Identify gaps", "qualificationsBasic" : "Knowledge of Observability domain, Expertise in Infrastructure Observability", "workSiteFlexibility" : "Flexible", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on Infrastructure Observability. With your knowledge and understanding of the Observability domain and expertise in Infrastructure Observability, you'll help ensure that we give our customers the best end to end full stack Observability experience for the infrastructure systems and services we monitor. This role significantly impacts the success of our Observability product! What You Will Be Doing Defining and driving the vision and strategy for Infrastructure Observability, aligning at every step with organizational and company strategy. Identifying gaps in end to end experience, defining and owning the roadmap to fill those gaps. Working closely across teams and across Orgs, collaborating with Engineering, UX, Design and other teams to deliver on your roadmap to bring top notch experiences to our users. Working with our Sales we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Product Manager Infrastructure, Observability at Elastic. Skills: Product Management, Observability, Infrastructure. Define vision and strategy for Infrastructure Observability. Align strategy with organizational and company strategy", "postedDate" : "2026-06-11T20:59:48.666", "createdAt" : "2026-06-11T20:59:48.666", "lastUpdated" : "2026-06-14T21:26:46.055", "ingestTimestamp" : "2026-06-11T20:59:48.666", "mongoId" : "6a2a473f74d8ee00a05d8ca3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Infrastructure Observability", "Product Management", "Observability", "Infrastructure", "Product strategy", "Roadmap development", "User stories", "Roadmap", "Observability domain" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "obs---actionable-observability", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a473f74d8ee00a05d8ca1", "title" : "Principal Product Manager Infrastructure, Observability", "company" : "Elastic", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for a Principal Product Manager, Infrastructure, Observability role at a technology company in the United States, with adjustments for lead seniority and company size." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-14T22:14:51.952", "fingerprint" : "aac84e18c210e0790fb4f7d623b348e342f7183a55c9ad9174cb7c20a97420d9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.elastic.co/jobs?gh_jid=7992592&gh_jid=7992592", "externalId" : "7992592", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Search AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories" ], "hardSkillsList" : [ "Infrastructure Observability" ], "hardSkills" : [ { "name" : "Infrastructure Observability", "level" : "intermediate" } ], "majorSkills" : "Product Management, Observability, Infrastructure", "majorSkillsList" : [ "Product Management", "Observability", "Infrastructure" ], "coreResponsibilities" : "Define vision and strategy for Infrastructure Observability, Align strategy with organizational and company strategy, Identify gaps in end to end experience, Define roadmap to fill gaps, Own roadmap to fill gaps, Work across teams and organizations, Collaborate with Engineering, Collaborate with UX, Collaborate with Design, Deliver on roadmap, Bring top notch experiences to users", "teamCollaboration" : "Cross-functional teams; Across organizations", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Observability domain; Infrastructure Observability", "domainList" : [ "observability-domain", "infrastructure-observability" ], "domainSpecificKnowledge" : [ "Observability domain", "Infrastructure Observability" ], "problemSolvingSkills" : "Identify gaps", "qualificationsBasic" : "Knowledge of Observability domain, Expertise in Infrastructure Observability", "workSiteFlexibility" : "Flexible", "rawDescription" : "Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on Infrastructure Observability. With your knowledge and understanding of the Observability domain and expertise in Infrastructure Observability, you'll help ensure that we give our customers the best end to end full stack Observability experience for the infrastructure systems and services we monitor. This role significantly impacts the success of our Observability product! What You Will Be Doing Defining and driving the vision and strategy for Infrastructure Observability, aligning at every step with organizational and company strategy. Identifying gaps in end to end experience, defining and owning the roadmap to fill those gaps. Working closely across teams and across Orgs, collaborating with Engineering, UX, Design and other teams to deliver on your roadmap to bring top notch experiences to our users. Working with our Sales we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U. S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.", "summaryDescription" : "Principal Product Manager Infrastructure, Observability at Elastic. Skills: Product Management, Observability, Infrastructure. Define vision and strategy for Infrastructure Observability. Align strategy with organizational and company strategy", "postedDate" : "2026-06-11T20:05:12.572", "createdAt" : "2026-06-11T20:05:12.572", "lastUpdated" : "2026-06-14T22:14:51.952", "ingestTimestamp" : "2026-06-11T20:05:12.572", "mongoId" : "6a2a473f74d8ee00a05d8ca1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Infrastructure Observability", "Product Management", "Observability", "Infrastructure", "Product strategy", "Roadmap development", "User stories", "Roadmap", "Observability domain" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "obs---actionable-observability", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a480a74d8ee00a05dd463", "title" : "Manager, Engineering | ML Infrastructure & Tooling", "company" : "ExtraHop", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Engineering in Seattle, United States, adjusted for cybersecurity industry and company size." }, "location" : "Seattle, Washington, United States", "locations" : [ "Seattle", "Washington", "United States" ], "timestamp" : "2026-06-14T20:24:05.098", "fingerprint" : "6ec7bdaee8adced37c482935d2b7cf64d59825ddca1c45f5d99c4cc6843dcf19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/extrahopnetworks/jobs/6016209004", "externalId" : "6016209004", "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", "experienceLevel" : "Manager", "technicalSkills" : "Machine Learning, LLMs, Clustering, Anomaly Detection, Cloud infrastructure, Infrastructure as code, Database design, DevOps practices, CI/CD pipelines", "professionalSkills" : [ "Product ownership", "System design", "Architectural choices", "Technology choices", "Work-life balance", "Roadmap progress", "Design decisions", "Product roadmap", "Technical leadership", "Scalability efforts", "Research efforts", "Experimentation", "Cost effective", "Efficiency", "Cybersecurity detections", "Data intelligence", "Network visibility", "Security", "Performance issues", "Network performance", "Vulnerabilities", "Cyber threats", "Connected enterprise", "Wire data", "Network Performance Management", "Intrusion Detection Systems", "Forensics", "Hybrid infrastructure", "Data center", "Cloud", "SASE environments", "Network telemetry" ], "hardSkillsList" : [ "Threat detection", "Intrusion prevention", "Incident response" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Threat detection", "level" : "intermediate" }, { "name" : "Intrusion prevention", "level" : "intermediate" }, { "name" : "Incident response", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "ML Infrastructure, Tooling, Machine Learning, DevOps", "majorSkillsList" : [ "ML Infrastructure", "Tooling", "Machine Learning", "DevOps" ], "coreResponsibilities" : "Deliver on product vision, Deliver on feature priorities, Make tough tradeoffs, Balance scope, Balance quality, Balance supportability, Balance performance, Balance time criticality, Guide team through design, Guide team through implementation, Work closely with stakeholders, Ensure product meets requirements, Manage end to end product ownership, Manage product support, Manage issues during escalations, Fix issues during escalations, Communicate issues during escalations, Attract engineering team, Develop engineering team, Cultivate engineering team, Maintain technical leadership, Guide development team, Shepherd day-to-day design decisions, Shepherd product roadmap progress, Shepherd long-term architectural choices, Shepherd long-term technology choices, Encourage healthy work-life balance, Listen to employees, Value employee opinions, Empower engineering teams, Set clear goals, Remove roadblocks", "teamCollaboration" : "Internal stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies", "Product roadmap", "Roadmap planning" ], "domainKnowledge" : "Machine learning models; Cloud infrastructure; DevOps practices; Threat detection; Intrusion prevention; Incident response; Network Detection and Response; Network Performance Management; Intrusion Detection Systems; Hybrid infrastructure; Data center; Cloud; SASE environments", "domainList" : [ "machine-learning-models", "cloud-infrastructure", "devops-practices", "threat-detection", "intrusion-prevention", "incident-response", "network-detection-and-response", "network-performance-management", "intrusion-detection-systems", "hybrid-infrastructure", "data-center", "cloud", "sase-environments" ], "domainSpecificKnowledge" : [ "Machine learning models", "Cloud infrastructure", "DevOps practices", "Threat detection", "Intrusion prevention", "Incident response", "Network Detection and Response", "Network Performance Management", "Intrusion Detection Systems", "Hybrid infrastructure", "Data center", "Cloud", "SASE environments" ], "continuousLearning" : "Educational reimbursement", "innovationCreativity" : "Inventing technology", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "On call product support", "outcomesObjectives" : "Deliver cybersecurity detections timely", "qualificationsBasic" : "BS degree or equivalent in CS, 7+ years experience in software development, 3+ years in team lead/management role, Managed teams delivering ML cloud infrastructure, Experience in cloud infrastructure, Experience with infrastructure as code, Experience with database design, Experience with SQL query performance optimization, Familiarity with machine learning models, Solid understanding of DevOps practices, Solid understanding of CI/CD pipelines, Solid understanding of scalability strategies, Solid understanding of availability strategies, Basic understanding of threat detection, Basic understanding of intrusion prevention, Basic understanding of incident response strategies, Experience in software development life cycle, Experience using agile methodologies, Excellent organizational skills, Excellent interpersonal skills", "qualificationsPreferred" : "Experience inventing and improving technology, Experience of performance/stability/scale", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running. Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you. Position Summary At ExtraHop we provide best-in-class network visibility and security to industries ranging from healthcare to payment processing. We don't just solve problems for our users, we help them rise above the noise of threats, alerts, and corporate gridlock. Our products enable organizations to harness the power of their wire data and achieve true security and exceptional performance. The Machine Learning Infrastructure team owns the tools that empower the development of new machine learning models and data intelligence at Extrahop. Scalability, efficiency and experimentation is the lifeblood of machine learning. Our goal on the Machine Learning Infrastructure team is to make it fast, easy, and cost effective to design, code, deploy, perform experiments, and to develop and support the production environment to deliver cybersecurity detections in a timely manner. As an Engineering Manager of this team, you will drive and develop the team on design and build infrastructure and tooling to support ongoing research and scalability efforts. You will attract, develop and cultivate a great engineering team and environment to maintain our technical leadership in the industry. You will guide the development team on responsibilities that include shepherding day-to-day design decisions, product roadmap progress, and long-term architectural and technology choices while encouraging healthy work-life balance. You listen to your employees and value their opinions. You believe that great things happen when engineering teams are empowered, have clear goals and a leader that removes roadblocks. Key Responsibilities Work as a product owner to deliver on the product vision and feature priorities. You should have a strong track record of making tough tradeoffs to balance scope, quality, supportability, performance, and time criticality. Guide the team through design/implementation for complex technical projects. Work closely with the internal stakeholders to ensure the product meets quality/stability requirements of enterprise customers, leveraging experience inventing and improving technology of performance/stability/scale. Manage end to end product ownership, from planning and design to on call product support. Manage/fix/communicate issues that arise during escalations/customer issues. Required Qualifications BS degree or equivalent in CS or a related Engineering Field 7+ years experience in software development and 3+ years in team lead/management role Managed teams that have delivered machine learning cloud infrastructure and features through design, architecture, and development Experience in cloud infrastructure as well as infrastructure as code, database design or SQL query performance optimization Familiarity with machine learning models, such as LLMs, Clustering and Anomaly Detection Solid understanding of DevOps practices, CI/CD pipelines, and strategies for achieving scalability and availability. Basic understanding of threat detection, intrusion prevention, and incident response strategies. Experience in software development life cycle using agile methodologies Excellent organizational and interpersonal skills Basic understanding of threat detection, intrusion prevention, and incident response strategies. The salary range for this role is $170,000 - $195,000 + bonus + benefits ABOUT EXTRAHOP ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments. This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise. OUR VALUES Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team. Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues. Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company. Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done. Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo. Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team. BENEFITS Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits: Health, Dental, and Vision Benefits Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan FSA and Dependent Care Accounts + EAP, where applicable Educational Reimbursement 401k with Employer Match or Pension where applicable Pet Insurance (US Only) Parental Leave (US Only) Hybrid and Remote Work Model Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today! To learn more, visit our website or follow us on LinkedIn. Create a Job Alert Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.", "summaryDescription" : "Manager, Engineering | ML Infrastructure & Tooling at ExtraHop. Skills: ML Infrastructure, Tooling, Machine Learning, DevOps. Deliver on product vision. Deliver on feature priorities", "postedDate" : "2026-06-11T20:59:51.485", "createdAt" : "2026-06-11T20:59:51.485", "lastUpdated" : "2026-06-14T20:24:05.098", "ingestTimestamp" : "2026-06-11T20:59:51.485", "mongoId" : "6a2a480a74d8ee00a05dd463", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Threat detection", "Intrusion prevention", "Incident response", "Leadership", "Mentoring", "ML Infrastructure", "Tooling", "Machine Learning", "DevOps", "Product ownership", "System design", "Architectural choices", "Technology choices", "Work-life balance", "Roadmap progress", "Design decisions", "Product roadmap", "Technical leadership", "Scalability efforts", "Research efforts", "Experimentation", "Cost effective", "Efficiency", "Cybersecurity detections", "Data intelligence", "Network visibility", "Security", "Performance issues", "Network performance", "Vulnerabilities", "Cyber threats", "Connected enterprise", "Wire data", "Network Performance Management", "Intrusion Detection Systems", "Forensics", "Hybrid infrastructure", "Data center", "Cloud", "SASE environments", "Network telemetry", "Agile methodologies", "Roadmap planning", "Machine learning models", "Cloud infrastructure", "DevOps practices", "Network Detection and Response" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "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, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "696082a50937eae70e9c95ae", "title" : "Manager – Mental Health Monitoring and Liaison", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Healthcare in Huntsville, United States, adjusted for seniority and full-time employment." }, "location" : "United States-Texas-HUNTSVILLE", "locations" : [ "United States-Texas-HUNTSVILLE" ], "timestamp" : "2026-06-15T21:40:46.405", "fingerprint" : "0b23c147d381d34b6f94a6414bd0275692071dcddcf6c29cb0e5bccc51c24088", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa007.taleo.net/careersection/ex/jobdetail.ftl?job=16162", "externalId" : "16162", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huntsville", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.7235263,-95.5507771" } ], "locationText" : "Huntsville, Texas, United States", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "United States-Texas-HUNTSVILLE", "summaryDescription" : "Manager – Mental Health Monitoring and Liaison", "createdAt" : "2026-06-14T19:53:21.612", "lastUpdated" : "2026-06-15T21:40:46.405", "ingestTimestamp" : "2026-06-14T19:53:21.612", "mongoId" : "696082a50937eae70e9c95ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 145000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8470f0b99d5843f9e7", "title" : "Senior Engineer Edge AI Infrastructure & Tooling, Device OS", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Engineer Edge AI Infrastructure & Tooling, Device OS in Bengaluru, India, adjusted for seniority and the technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T02:21:50.389", "fingerprint" : "6c4dd6356c967d7642d40a30259509575515d8b2dcbb91b3d07c46f66f078d99", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139795/apply", "externalId" : "a662e8c7-681a-40fe-8973-1aff8684e991", "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" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, PyTorch, ExecuTorch, TensorFlow Lite, ONNX Runtime, INT8, FP16, LoRA, QLoRA, LLMs", "professionalSkills" : [ "System design", "Architecture design", "ML tooling", "Dev/prod infrastructure", "Model optimization", "Model deployment", "SDK development", "Developer tooling", "Developer experiences" ], "hardSkillsList" : [ "Embedded development", "Deep learning models", "Deep learning training", "Model pruning", "Model optimization", "Quantization", "Knowledge distillation", "Model conversion", "LLM tuning", "Custom optimized kernels", "Heterogeneous computing", "Workload scheduling", "Real-time systems", "Deterministic inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Embedded development", "level" : "intermediate" }, { "name" : "Deep learning models", "level" : "intermediate" }, { "name" : "Deep learning training", "level" : "intermediate" }, { "name" : "Model pruning", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Knowledge distillation", "level" : "intermediate" }, { "name" : "Model conversion", "level" : "intermediate" }, { "name" : "LLM tuning", "level" : "intermediate" }, { "name" : "Custom optimized kernels", "level" : "intermediate" }, { "name" : "Heterogeneous computing", "level" : "intermediate" }, { "name" : "Workload scheduling", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Deterministic inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Edge AI, Infrastructure, Tooling, Device OS", "majorSkillsList" : [ "Edge AI", "Infrastructure", "Tooling", "Device OS" ], "coreResponsibilities" : "Conceive features for Amazon devices, Design features for Amazon devices, Deliver features for Amazon devices, Architect software solutions, Develop software solutions, Investigate edge computing solutions, Prototype edge computing solutions, Develop backend integrations, Build developer tools, Build profilers, Build debuggers, Build model converters, Build benchmarking suites, Optimize model deployment workflows, Optimize performance, Create SDKs, Create APIs, Create documentation, Create automated testing frameworks, Collaborate with ML researchers, Work in Agile/Scrum environment, Deliver high quality software, Establish architectural principles, Mentor team members", "teamCollaboration" : "Agile/Scrum environment; ML researchers; Team members", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Edge computing; Artificial intelligence; AI-enabled devices; Device OS; Edge AI/ML frameworks; Inference platforms; Hardware ecosystems; SoC platforms; Resource-constrained environments; Deep learning models; Edge hardware platforms; Edge AI inference; Model optimization techniques; Model formats; LLMs; Heterogeneous computing; Real-time systems; Latency-critical applications; Deterministic inference", "domainList" : [ "edge-computing", "artificial-intelligence", "ai-enabled-devices", "device-os", "edge-ai-ml-frameworks", "inference-platforms", "hardware-ecosystems", "soc-platforms", "resource-constrained-environments", "deep-learning-models", "edge-hardware-platforms", "edge-ai-inference", "model-optimization-techniques", "model-formats", "llms", "heterogeneous-computing", "real-time-systems", "latency-critical-applications", "deterministic-inference" ], "domainSpecificKnowledge" : [ "Edge computing", "Artificial intelligence", "AI-enabled devices", "Device OS", "Edge AI/ML frameworks", "Inference platforms", "Hardware ecosystems", "SoC platforms", "Resource-constrained environments", "Deep learning models", "Edge hardware platforms", "Edge AI inference", "Model optimization techniques", "Model formats", "LLMs", "Heterogeneous computing", "Real-time systems", "Latency-critical applications", "Deterministic inference" ], "toolProficiency" : [ "PyTorch", "ExecuTorch", "TensorFlow Lite", "ONNX Runtime" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovative features; Innovative products", "problemSolvingSkills" : "Troubleshooting", "qualificationsBasic" : "5+ years software development experience, Embedded development in C/C++, 5+ years leading design or architecture, Experience in deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning, 5+ years in ML tooling, 5+ years in dev/prod infrastructure, Experience with edge hardware platforms, Experience with edge AI inference frameworks, Proficiency with model optimization techniques, Experience with model formats, Experience with conversion pipelines, Experience deploying and tuning LLMs, Coding skills with custom optimized kernels", "qualificationsPreferred" : "5+ years full software development life cycle, Experience deploying LLMs on resource-constrained devices, Experience with MLOps practices, Experience with automated model testing, Experience with model production, Experience operationalizing LLMS at scale, Familiarity with heterogeneous computing, Familiarity with workload scheduling, Experience with real-time systems, Experience with latency-critical applications, Experience with deterministic inference, Background in SDK development, Background in developer tooling, Background in creating developer experiences, Virtual platform development, Cloud deployment, Cross-functional leadership, Ability to influence product roadmaps, Ability to influence technical strategy", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bringing state of the art AI technology to edge devices? Join Amazon's Device OS organization, where we're revolutionizing how AI powers everyday devices. We're seeking exceptional Senior Software Development Engineers who can help us push the boundaries of edge computing and artificial intelligence. This is your chance to shape the future of AI-enabled devices that impact millions of customers worldwide. Key job responsibilities As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new and innovative products. • Investigate and prototype edge computing solutions with AI integration capabilities • Develop backend integrations for various SoC vendors and AI accelerators • Build developer tools including profilers, debuggers, model converters, and bench marking suites • Optimize model deployment workflows and performance for resource-constrained environments • Create SDKs, APIs, and documentation to enable seamless developer experiences • Create automated testing frameworks for model accuracy and performance validation • Collaborate with ML researchers to bridge the gap between research and production • Work in an Agile/Scrum environment to deliver high quality software • Establish architectural principles and mentor team members About the team The Device OS Team builds Edge AI/ML frameworks enabling partners to launch applications, services, and devices customers love. We develop unified inference platforms that connect advanced AI models with diverse hardware ecosystems across multiple SoC platforms. Our infrastructure and tooling empower developers to deploy, optimize, and monitor high-performance AI models on edge devices. Basic Qualifications: - 5+ years of non-internship professional software development experience - Experience in embedded development in C/C++ - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - 5+ years in ML tooling and dev/prod infrastructure - Proven experience working with edge hardware platforms (Qualcomm, MediaTek, NVIDIA Jetson, Apple Neural Engine, etc) - Experience with edge AI inference frameworks (PyTorch, ExecuTorch, TensorFlow Lite, ONNX Runtime, etc.) - Proficiency with model optimization techniques: quantization (INT8, FP16, mixed-precision), pruning, knowledge distillation - Experience with model formats (.tflite, .onnx, .pt, .trt, FlatBuffers) and conversion pipelines - Experience deploying and tuning LLMs using techniques like LoRA, QLoRA, and instruction tuning - Strong coding skills with the ability to implement custom optimized kernels Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience deploying LLMs or advanced ML models on resource-constrained devices - Experience with MLOps practices, automated model testing, model production (deployment, CI/CD, monitoring) and operationalizing LLMS & ML models at scale - Familiarity with heterogeneous computing and workload scheduling across CPU/GPU/NPU - Experience with real-time systems, latency-critical applications, and deterministic inference - Background in SDK development, developer tooling, and creating exceptional developer experiences - Virtual platform development and cloud deployment - Strong cross-functional leadership, with the ability to influence product roadmaps and technical strategy across organizations 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" : "Senior Engineer Edge AI Infrastructure & Tooling, Device OS at ADCI. Skills: Edge AI, Infrastructure, Tooling, Device OS. Conceive features for Amazon devices. 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While caregivers and infants remain our top priority, our operations are guided by accountability, integrity, and a", "summaryDescription" : "Monitoring and Evaluation Manager (M&E) at New Incentives. Provide incentives to increase childhood vaccination rates. 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Technical stakeholders; Non-technical stakeholders", "projectManagementSkills" : [ "Technical roadmaps" ], "domainKnowledge" : "BI Tooling; BI Platform; Data ingestion; Data processing; Cloud-native architecture; AI marketing", "domainList" : [ "bi-tooling", "bi-platform", "data-ingestion", "data-processing", "cloud-native-architecture", "ai-marketing" ], "domainSpecificKnowledge" : [ "BI Tooling", "BI Platform", "Data ingestion", "Data processing", "Cloud-native architecture", "AI marketing" ], "toolProficiency" : [ "Docker", "Kubernetes", "Apache Airflow", "Snowflake", "Kafka", "Pulsar", "GraphQL" ], "communicationSkills" : "Technical communication; Non-technical communication", "continuousLearning" : "Adopting new technologies", "innovationCreativity" : "Innovative applications", "problemSolvingSkills" : "Translating business objectives", "outcomesObjectives" : "Deliver metrics customers trust; Deliver metrics customers rely on", "qualificationsBasic" : "3+ years professional experience, Advanced proficiency in Java, Proficiency in Python programming, Hands-on experience designing microservices, Hands-on experience developing APIs, Skilled with relational databases, Skilled with non-relational databases, Skilled with streaming technologies, Proven track record architecting applications, Proven track record delivering applications, Excellent communication skills", "qualificationsPreferred" : "Experience with Apache Airflow, Experience with Snowflake, Experience with Docker, Experience with Kubernetes, Experience designing data ingestion services, Experience designing data processing services, Experience working with data, Experience with SQL, Experience with data analysis, Experience with data engineering, Familiarity with AWS services, Familiarity with cloud infrastructure, Familiarity with workflow orchestration, Familiarity with GraphQL, Experience with Kafka, Experience with Pulsar, Practical knowledge of DevOps practices, Practical knowledge of DevOps tools, Familiarity with AI tools", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role Our Business Intelligence team transforms complex data into actionable insights and impactful reporting. We empower clients and internal teams with the metrics, analytics, reports, and visualizations needed to make informed decisions and shape strategies that drive meaningful growth. Joining our team offers a dynamic career opportunity to collaborate with some of the most talented data professionals in a high-performance, high-impact environment. As a Software Engineer on the BI Tooling & Platform team, you will have the opportunity to shape the foundation on which our metrics are built and retrieved. You will collaborate with talented engineers, product managers, and other internal stakeholders to create innovative applications that empower our BI Team to deliver metrics that our customers trust and rely on. What You’ll Accomplish Collaborate and negotiate with Product Management to meet the user’s needs without sacrificing quality or accruing tech debt. You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques. You are constantly improving the quality of the project you are working on, both via code contributions as well as long-term advocacy for larger-scale changes. Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance. Collaborate with subject matter experts, fellow developers, and internal stakeholders to turn business goals into achievable technical roadmaps. Your Expertise 3+ years of professional experience in software development focusing on data engineering and backend systems. Advanced proficiency in Java, with a deep understanding of object-oriented programming principles. Proficiency in python programming, Experience with Apache Airflow, Snowflake, containerization technologies (e.g., Docker, Kubernetes), and designing scalable data ingestion and processing services is highly desirable. Hands-on experience designing and developing microservices and APIs. Skilled in working with both relational and non-relational databases, as well as streaming technologies. Proven track record of architecting and delivering high-scale, high-quality applications. Demonstrated excellence in execution, balancing the urgency of speed with the necessity of quality. Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. Comfortable navigating ambiguity and translating business objectives into clear, actionable deliverables. Enthusiastic about exploring and adopting new technologies, with a pragmatic approach to selecting tools that align with project goals. Nice to Haves Proven experience working with data, including SQL, data analysis, and data engineering. Strong familiarity with AWS services, cloud infrastructure, and workflow orchestration, GraphQL. Experience with messaging systems or streaming platforms such as Kafka or Pulsar. Practical knowledge of DevOps practices and tools, including Docker and Kubernetes, for containerization and orchestration. Familiarity with AI tools (e.g., Claude and Codex) to explore opportunities for up-leveling the team's capabilities and company performance. You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $135,000 - $175,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-DNI By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Software Engineer II, BI Tooling and Platform at Attentive. Skills: BI Tooling, Platform Engineering, Data Engineering. Collaborate with Product Management. 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auto-scaling, High availability, elasticity, networking options · Handle federated access to cloud computing resource (or set of resources) based on a user's role within the organization · Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions · Proficiency in DevSecOps practices throughout the product lifecycle including fully managed Day 2 Ops leveraging Datadog · Shared access controls to support multi-tenancy and self-service tooling for customers · Manage data catalog per topic or domain based on services & use-cases offered · Research, investigate and bring new technologies to continually evolve data platform capabilities · Experience in working under Agile scrum Methodologies Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "SRE - Observability Expert. Skills: Observability, Infrastructure-as-code, Kubernetes, Data pipelines. Develop infrastructure-as-code. Maintain infrastructure-as-code", "createdAt" : "2026-06-14T00:40:16.356", "lastUpdated" : "2026-06-15T04:51:58.142", "ingestTimestamp" : "2026-06-14T00:40:16.356", "mongoId" : "69ce5e3b9bc74574cb677a91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Production development", "Production operations", "Infrastructure deployment", "Data processing", "Data accessibility", "Data availability", "Cloud cost", "Scripting", "Automation", "Integration tasks", "API deployment", "Cloud computing", "Branching strategies", "Merging strategies", "Pull Requests", "Command line functions", "DevSecOps practices", "Day 2 Ops", "Observability", "Infrastructure-as-code", "Kubernetes", "Data pipelines", "Data pipeline orchestration", "Stream processing", "Batch processing", "Storage strategy", "Data transformation", "Data ingestion", "Data distribution", "API development", "Managed services", "Auto-scaling", "High availability", "Elasticity", "Networking", "Federated access", "Access controls", "Multi-tenancy", "Self-service tooling", "Data catalog management", "Technology research", "Platform capabilities", "Agile", "Scrum", "Data streaming", "Data analytics", "Data lake storage", "Self-service compute", "ML workspaces", "Kappa architecture", "Terraform", "AKS", "Databricks", "Azure Data Factory", "Amazon data Pipeline", "Apache Spark", "Kafka", "Confluent cloud", "Apache Storm", "Spark-Streaming", "Apache Flink", "Kstreams App", "KSQL", "Event Hubs", "ADLS2", "REST APIs", "Airflow", "Druid", "OpenSearch", "Superset", "Python", "FastAPI", "Git", "Datadog" ], "skillCount" : 74, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca31b74d8ee00a09aa36d", "title" : "Team Lead, Tooling", "company" : "Bath Fitter", "industry" : "Manufacturing", "salary" : { "min" : 28.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "STE - Plant | Usine", "locations" : [ "STE - Plant | Usine" ], "timestamp" : "2026-06-15T09:12:59.369", "fingerprint" : "b056874dc2dfc8b00c46e814a065adeb275af28574fcbfbd7e74cbd0054b8b82", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.bathfitter.com/en/careers/job/?gh_jid=5247282008", "externalId" : "5247282008", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "onsite" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "rawDescription" : "Looking for an exciting challenge in a growing manufacturing environment? Bath Fitter is seeking a passionate and dynamic Team Lead, Tooling to join our team at our Saint-Eustache plant. Who are we? For over 40 years, Bath Fitter has been perfecting its process to meet customer needs and deliver the best bathtubs for everyone. Our glossy acrylic bathtubs and showers are easy to clean and can be installed in just one day, how convenient! Every day, the Bath Fitter team strives to improve products and enhance customers' lives. Our vision is to be an exceptional employer and business partner. At Bath Fitter, we offer an engaging culture, a collaborative environment focused on teamwork, autonomy, and innovation. We are a growing organization that prioritizes employees and their quality of life. That’s why we’re proud to be certified as a \"Best Workplace\" and \"Canada’s Most Admired Corporate Cultures.\" What does the role involve? In collaboration with their supervisor, the Team Leader inspires, guides, and motivates their team to ensure safe and efficient execution of operations. They respond quickly to unforeseen situations, prioritize health and safety, and play an active role in continuous improvement. They leverage individual strengths to build a high-performing, engaged team that reflects Bath Fitter core values. Why join the Bath Fitter team? Day shift Monday-Friday (6:25am to 2:55pm) $28.27/hour Group insurance Retirement plan with employer contributions Vacation, personal days, and additional time off during the holidays On-site gym at the St-Eustache Headquarters Bistro that will make you want to come to the office (diverse, delicious, and company-subsidized meals) Social club Many other benefits to discover by joining Bath Fitter! What is the ideal profile for this position? Minimum of 3 years of experience managing a team. Strong interpersonal and communication skills in French (English is an asset). Inspiring leadership style focused on collaboration, talent development, and building a climate of trust. Ability to thrive in a fast-paced, evolving environment, handle pressure, and actively contribute to continuous improvement. Solid command of technological tools, including MS Office, with a structured and detail-oriented approach to work. What will your responsibilities be as a Team Lead? Promote a safe work environment by ensuring compliance with health and safety rules, responding promptly when needed, and fostering a culture of prevention. Plan and coordinate daily activities, assign tasks based on priorities, lead start-of-shift meetings, and ensure smooth transitions between shifts. Maintain a strong floor presence to support the team, answer questions, address issues, and identify training needs. Monitor operational performance through audits, and ensure adherence to quality standards, timelines, and established processes. Guide and engage team members by encouraging collaboration, supporting development, and promoting continuous improvement. Actively contribute to departmental improvement projects, technical training, and performance evaluation processes. Promote employee engagement and foster awareness of Lean Manufacturing practices. We believe life is too short not to be passionate about what you do every day. Above all, we are looking for an authentic person to help us fulfill our mission. We can’t wait to meet you! At Bath Fitter corporate offices, we are committed to fostering an inclusive environment for everyone. We are dedicated to providing fair, equitable, and accessible opportunities to all current and prospective employees. If you require any accommodations during the recruitment process, they can be arranged upon request. This job posting corresponds to a position that is currently open and for which we are actively recruiting. We use artificial intelligence–assisted tools to support the interview process, including interview recording and summarization. Artificial intelligence is not used to make hiring or selection decisions. Bath Fitter thanks all applicants for their interest; however, only those selected to continue in the process will be contacted. #Bedard #LI-CB1 #LI-Onsite. You can view our full Privacy Policy here", "summaryDescription" : "Team Lead, Tooling at Bath Fitter", "postedDate" : "2026-06-14T01:38:13.397", "createdAt" : "2026-06-14T01:38:13.397", "lastUpdated" : "2026-06-15T09:12:59.369", "ingestTimestamp" : "2026-06-14T01:38:13.397", "mongoId" : "6a2ca31b74d8ee00a09aa36d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83ce", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T09:58:14.336", "fingerprint" : "1141533a0ea2a9896faa30a62c944cb0be691492717a7ccd0019375ea41bcbde", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/64c47211-cf25-4747-b3d6-848fecb0f39a/application", "externalId" : "64c47211-cf25-4747-b3d6-848fecb0f39a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML", "professionalSkills" : [ "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "hardSkillsList" : [ "ML" ], "softSkillsList" : [ "curious, caring, cross-functional" ], "hardSkills" : [ { "name" : "ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "curious, caring, cross-functional" } ], "majorSkills" : "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "majorSkillsList" : [ "Platform leadership, Product judgement, Commercial impact, Data platform, ML" ], "coreResponsibilities" : "Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "teamCollaboration" : "Build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful.", "communicationSkills" : "Direct", "documentationSkills" : "documentation", "innovationCreativity" : "Shape the future state, zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming.", "problemSolvingSkills" : "system design; debugging; algorithms", "specialRequirements" : "Must be able to work in Barcelona, Edinburgh or London. Commitment to building an inclusive workplace and accessible products. Reasonable adjustments or accommodations for interviews are available.", "outcomesObjectives" : "Connect technical investment to outcomes like experimentation velocity, personalization, revenue impact, cost control, and better product decisions.", "qualificationsBasic" : "Platform leader at scale, product-minded and commercially sharp, confident with data-powered products, quality and ownership obsessed, cross-functional by nature, direct and pacey, strategic but sleeves-rolled-up.", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Platform leadership, Product judgement, Commercial impact, Data platform, ML. Owning a trusted data platform, making experimentation fly, powering production-ready ML, enabling AI-assisted self-serve analytics, building for agentic data engineering, scaling data delivery, making quality visible, shaping the operating model, and turning platform work into impact.", "createdAt" : "2026-06-14T20:17:27.024", "lastUpdated" : "2026-06-15T09:58:14.336", "ingestTimestamp" : "2026-06-14T20:17:27.024", "mongoId" : "6a2cafed74d8ee00a09d83ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ML", "curious, caring, cross-functional", "Platform leadership, Product judgement, Commercial impact, Data platform, ML", "Data platform, AI platform, product engineering, analytics, data science, business teams." ], "skillCount" : 4, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "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, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e42af8b1b0376634c6a6", "title" : "Manufacturing Engineer, Tooling", "company" : "Amazon Corporate Services Vietnam Company Limited", "industry" : "Hardware Development, alexa and amazon devices", "salary" : { "min" : 7.8E8, "max" : 1.3E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Manufacturing Engineer, Tooling in Hanoi, Vietnam, adjusted for industry and company size." }, "location" : "Hanoi, VNM", "locations" : [ "Hanoi, VNM" ], "timestamp" : "2026-06-15T03:48:32.216", "fingerprint" : "0f5beedcd2dc9246c76c6bbf27f2d73948b3521263be873f6175be5853fa0ecd", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076638/apply", "externalId" : "3860d092-8198-4398-8f78-31652dc012ca", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hanoi", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "21.0283334,105.8540410" } ], "locationText" : "Hanoi, Vietnam", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Plastic injection molding, Mold flow simulation", "professionalSkills" : [ "DFM", "Tool qualification", "First article inspection", "Cosmetic quality", "Process validation", "Failure analysis", "Risk analysis", "Part qualification", "Yield improvement", "DOE" ], "hardSkillsList" : [ "Statistical principles" ], "hardSkills" : [ { "name" : "Statistical principles", "level" : "intermediate" } ], "majorSkills" : "Tooling design, Plastic injection molding, Process validation", "majorSkillsList" : [ "Tooling design", "Plastic injection molding", "Process validation" ], "coreResponsibilities" : "Own technical development of tool, Drive clarity of design benefits, Drive clarity of design risks, Drive clarity of design impacts, Analyze mold flow, Analyze simulation software, Analyze drawings, Analyze other data, Determine scope of work, Estimate cost, Estimate lead-time, Evaluate tool designs, Drive completion of tool qualifications, Drive completion of first article inspection, Drive cosmetic quality, Drive process validation, Drive failure analysis, Drive process changes, Drive risk analysis, Deliver qualified production process, Deliver repeatable production process, Plan for maintenance, Plan for engineering changes, Employ statistical principles for part qualification, Collaborate with product design team, Collaborate with manufacturing design engineer, Partner with SQE to drive yield improvement, Monitor molding processes, Validate molding processes, Monitor molds, Validate molds, Identify improvement opportunities, Track defects, Address failure Pareto, Contribute to improvement, Deliver daily updates on tooling status, Deliver daily updates on tooling readiness, Deliver daily updates on tooling issues, Deliver daily updates on reasons for downtime, Drive vendors to justify modifications, Support plastic part related DOE's, Be mechanical resource for secondary operations, Assist in production related issues, Perform root cause analysis on assembly failures, Ensure components meet cosmetic standards, Ensure assemblies meet cosmetic standards", "teamCollaboration" : "Cross functional with mechanical team; Cross functional with all departments", "domainKnowledge" : "Plastic injection molding; Stamped sheet metal components; Molding processes; Secondary operations; Custom tooled components", "domainList" : [ "plastic-injection-molding", "stamped-sheet-metal-components", "molding-processes", "secondary-operations", "custom-tooled-components" ], "domainSpecificKnowledge" : [ "Plastic injection molding", "Stamped sheet metal components", "Molding processes", "Secondary operations", "Custom tooled components" ], "toolProficiency" : [ "Jira", "Arena" ], "communicationSkills" : "Verbal communication; Written communication; Technical communication", "problemSolvingSkills" : "Root cause analysis; Failure analysis", "outcomesObjectives" : "Deliver industry best-in-class cosmetic components", "qualificationsBasic" : "BS Mechanical Engineering or related degree, 5 years of experience in tooling, Firm knowledge of plastic injection molding, Well-versed in production factory Final Assembly, Test, and Packout (FATP), Natural bias towards use of defect tracking systems, Natural bias towards document control, Proven track record of delivering parts for production on time to/from overseas vendors, Exceptional communication skills, Verbal communication in English and Vietnamese, Written communication in English and Vietnamese, Technical communication in English and Vietnamese", "qualificationsPreferred" : "MS Mechanical Engineering or related degree, 8+ years of experience in tooling, Mandarin a plus, Die cast tooling design, Progressive stamping part tooling design", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "- Own the technical development of a tool for plastic injection or stamped sheet metal components - Drive clarity of design benefits, risks, impacts through DFM between supplier and eero engineering. - Analyze mold flow, simulation software, drawings, and other data to determine scope of work, estimated cost, and lead-time for fabrication. - Evaluates tool designs, drives completion of tool qualifications, first article inspection, cosmetic quality, process validation, failure analysis, process changes and risk analysis - Deliver a qualified, repeatable, production process which yields industry best-in-class cosmetic components. - Plan for maintenance and engineering changes - Employ statistical principles for part qualification - Collaborate with product design team and manufacturing design engineer on product architecture to ensure success in mass production. - Partner with SQE to drive yield improvement at supplier - Monitor and validate existing molding processes and molds to identify improvement opportunities - Track defects and address failure Pareto for technical modifications contributing to improvement. - Deliver daily updates as to tooling status, readiness, issues and reasons for downtime - Drive vendors to justify all modifications Beyond Plastic Injection Molding tools: - Work cross functionally with the in-region mechanical team to support plastic part related DOE's at the CM and plastic supplier - Be a mechanical resource for secondary operations for molded plastics - Assist in production related issues during FATP relating to custom tooled components - Perform root cause analysis on assembly failures caused by custom tooled components - Work cross functionally with all departments to ensure all components and assemblies meet or exceed eero's cosmetic standards Basic Qualifications: - BS Mechanical Engineering or related degree - 5 years of experience in tooling - Firm knowledge of plastic injection molding - Well-versed in production factory Final Assembly, Test, and Packout (FATP) - Natural bias towards documentation; use of defect tracking systems (Jira) and document control (Arena) - Proven track record of delivering parts for production on time to/from overseas vendors - Exceptional communication skills - verbal, written and technical communication in English and Vietnamese required; Mandarin a plus Preferred Qualifications: - MS Mechanical Engineering or related degree - 8+ years of experience in tooling - Firm knowledge of plastic injection molding - Well-versed in production factory Final Assembly, Test, and Packout (FATP) - Natural bias towards documentation; use of defect tracking systems (Jira) and document control (Arena) - Proven track record of delivering parts for production on time to/from overseas vendors - Exceptional communication skills - verbal, written and technical communication in English required; Mandarin and Vietnamese a plus - Die cast tooling design - Progressive stamping part tooling design 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" : "Manufacturing Engineer, Tooling at Amazon Corporate Services Vietnam Company Limited. Skills: Tooling design, Plastic injection molding, Process validation. Own technical development of tool. Drive clarity of design benefits", "postedDate" : "2026-06-13T16:29:51.466", "createdAt" : "2026-06-13T16:29:51.466", "lastUpdated" : "2026-06-15T03:48:32.216", "ingestTimestamp" : "2026-06-13T16:29:51.466", "mongoId" : "68c2e42af8b1b0376634c6a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076638/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical principles", "Tooling design", "Plastic injection molding", "Process validation", "DFM", "Tool qualification", "First article inspection", "Cosmetic quality", "Failure analysis", "Risk analysis", "Part qualification", "Yield improvement", "DOE", "Stamped sheet metal components", "Molding processes", "Secondary operations", "Custom tooled components", "Jira", "Arena" ], "skillCount" : 19, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4962beec4dd3d931918", "title" : "Software Development Engineer, Device Observability and Troubleshooting", "company" : "Servicios Comerciales Amazon Mexico S. de R.L. de C.V.", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 650000.0, "max" : 950000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Development Engineer in Zapopan, Mexico, adjusted for the technology industry." }, "location" : "Zapopan, Jalisco, MEX", "locations" : [ "Zapopan, Jalisco, MEX" ], "timestamp" : "2026-06-15T05:28:39.083", "fingerprint" : "eb2dcbea9adfa56fd5ab47d1e411dd4ae21bca48943b40b60ad8c3c3f367fd9e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385321/apply", "externalId" : "981ac712-9510-47df-bdec-4ec0e6a870e5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zapopan", "state" : "Jalisco", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "20.7211203,-103.3913671" } ], "locationText" : "Zapopan, Jalisco, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Full stack", "professionalSkills" : [ "Supply chain", "Operations", "Logistics" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Full stack development, Supply chain systems", "majorSkillsList" : [ "Full stack development", "Supply chain systems" ], "coreResponsibilities" : "Develop new features, Refine requirements, Design features, Implement features, Test software, Support deployed software, Deliver features, Write code, Conduct design reviews, Improve engineering excellence", "teamCollaboration" : "Agile team; Scrum methodology; Internal operations; External vendors", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Device Services; Supply Chain; Forward Logistics; Reverse Logistics; Warehouse Management; Network optimization", "domainList" : [ "device-services", "supply-chain", "forward-logistics", "reverse-logistics", "warehouse-management", "network-optimization" ], "domainSpecificKnowledge" : [ "Device Services", "Supply Chain", "Forward Logistics", "Reverse Logistics", "Warehouse Management", "Network optimization" ], "innovationCreativity" : "Innovate to deliver solutions; Automate operational tasks; Re-invent supply chain; Build intelligent platform", "problemSolvingSkills" : "Troubleshooting", "outcomesObjectives" : "Meet customer obsession; Make devices available", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/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" : "The Amazon Device Services organization is hiring a Software Development Engineer to help us build cross-platform software to enable the seamless launch, provisioning and management of devices. The team is responsible for building solutions that enable Device Operations and Supply Chain end-to-end: from product design and component sourcing, through production and shipment, to returns, screening and repair. We innovate to deliver timely and scalable technological solutions and automate operational tasks to allow the business to focus on high value-add activities and grow. We are looking for a talented Software Development Engineer to help build from ground up our Supply Chain and Operations systems of the future. We are starting an exciting journey of building full stack solutions for our internal customers, including Forward and Reverse Logistics, Warehouse Management, Operations, Finance, and internal technical teams. We are looking for someone who is passionate about delivering the best possible customer experience and allowing us to meet our customer obsession of making our current and upcoming line of devices available in-stock to delight our customers. In this role you will be a leader in the engineering group of full stack engineers and contribute to design, architecture and implementation for one or more of supply chain applications. We are looking to re-invent the supply chain with end to end network optimization and use data to build intelligent, self-learning platform to build the world class platform. Great opportunity to make a huge impact in developing next generation of solutions in our rapidly growing devices group. Key job responsibilities Your key responsibility will be developing new features in the Forward Logistics space using agile methodologies to deliver including requirements refinement, feature design, implementation, testing and operational support of the deployed software. A day in the life You will be part of an agile team using \"scrum\" methodology to deliver features for both internal operations and external vendors. This includes daily stand-ups, interacting with end users and product managers, mentoring junior developers, writing code, design reviews, and engineering excellence improvements. About the team We are a tight nit and efficient team that delivers automation and optimization supply chain solutions for the Devices ((i.e. Amazon Echoes, Kindles, FireTV, Ring, etc) organization. We are specialized in that Amazon Devices develops and owns the product that Amazon is selling on both the Amazon retail site and to external vendors. 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, Device Observability and Troubleshooting at Servicios Comerciales Amazon Mexico S. de R.L. de C.V.. Skills: Full stack development, Supply chain systems. Develop new features. Refine requirements", "postedDate" : "2026-06-13T07:31:27.854", "createdAt" : "2026-06-13T07:31:27.854", "lastUpdated" : "2026-06-15T05:28:39.083", "ingestTimestamp" : "2026-06-13T07:31:27.854", "mongoId" : "69d5e4962beec4dd3d931918", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385321/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "Architecture", "Mentoring", "Full stack development", "Supply chain systems", "Supply chain", "Operations", "Logistics", "Agile", "Scrum", "Device Services", "Supply Chain", "Forward Logistics", "Reverse Logistics", "Warehouse Management", "Network optimization" ], "skillCount" : 17, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c6b6974d8ee00a0912255", "title" : "General Manager (Tooling Solutions)", "company" : "EquipmentShare", "industry" : "Construction", "salary" : { "min" : 135000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a General Manager in the Construction industry in Haskell, United States, adjusted for manager seniority and company size." }, "location" : "Haskell, Texas, United States", "locations" : [ "Haskell", "Texas", "United States" ], "timestamp" : "2026-06-16T02:51:36.559", "fingerprint" : "00596a8fa98afe3249f508f52e27793e129bd04316ab3120f63ecba373590ad8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.equipmentshare.com/careers/openings/?gh_jid=8002808", "externalId" : "8002808", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haskell", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1542164,-99.7199972" } ], "locationText" : "Haskell, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Operational performance", "Expense management", "Inventory replenishment", "Fulfillment execution", "Vendor coordination", "Team hiring", "Performance management", "Product mix", "Category expansion" ], "hardSkillsList" : [ "Supplies management", "Tool rental management", "Fleet management", "Stock level management", "Reorder points", "Product mix management" ], "hardSkills" : [ { "name" : "Supplies management", "level" : "intermediate" }, { "name" : "Tool rental management", "level" : "intermediate" }, { "name" : "Fleet management", "level" : "intermediate" }, { "name" : "Stock level management", "level" : "intermediate" }, { "name" : "Reorder points", "level" : "intermediate" }, { "name" : "Product mix management", "level" : "intermediate" } ], "majorSkills" : "Operational management, Inventory control, Team leadership, Vendor relations", "majorSkillsList" : [ "Operational management", "Inventory control", "Team leadership", "Vendor relations" ], "coreResponsibilities" : "Own operational performance, Manage inventory carrying costs, Manage expense, Serve as internal SME, Support escalations, Support product questions, Support operational decisions, Build operational SOPs, Enforce operational SOPs, Hold team accountable, Manage onsite tool fleet, Manage fleet availability, Manage fleet condition, Manage fleet utilization, Coordinate fleet maintenance, Document fleet damage, Manage stock levels, Manage reorder points, Manage product mix, Coordinate with supply chain, Coordinate with vendors, Identify gaps in product mix, Surface category expansion opportunities, Partner with commercial team, Ensure rental execution aligns, Hire branch staff, Onboard branch staff, Develop branch staff, Set performance expectations, Deliver coaching, Hold team accountable to standards", "teamCollaboration" : "Cross-functional coordination; Vendor coordination; Team hiring and performance; Supply chain coordination; Commercial team partnership", "domainKnowledge" : "Tooling solutions; Supplies and tool rental; Construction consumables; Fasteners; PPE; Safety supplies; Concrete accessories; General jobsite materials; Tool fleet management; Onsite facility operations; Large-scale construction projects", "domainList" : [ "tooling-solutions", "supplies-and-tool-rental", "construction-consumables", "fasteners", "ppe", "safety-supplies", "concrete-accessories", "general-jobsite-materials", "tool-fleet-management", "onsite-facility-operations", "large-scale-construction-projects" ], "domainSpecificKnowledge" : [ "Tooling solutions", "Supplies and tool rental", "Construction consumables", "Fasteners", "PPE", "Safety supplies", "Concrete accessories", "General jobsite materials", "Tool fleet management", "Onsite facility operations", "Large-scale construction projects" ], "documentationSkills" : "Damage documentation", "outcomesObjectives" : "Drive consistent execution; Manage revenue contribution; Manage margin", "qualificationsBasic" : "Inventory management experience, Proven ability to lead a team, Set standards and drive execution, Comfort operating independently", "qualificationsPreferred" : "Prior experience in onsite supply model, Experience in embedded supply model, Experience in jobsite supply model, Familiarity with large-scale construction projects, Familiarity with multi-contractor site dynamics, Background managing tool fleet, Experience standing up a location, Experience standing up an operation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Build the Future with Us — EquipmentShare is Hiring a General Manager 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 General Manager in Haskell, TX to manage the day-to-day performance of the supplies and tool rental operation at a large-scale onsite facility. This is an embedded general management position inside a multi-contractor construction project. You will manage all aspects of the supplies and tool rental operation: inventory replenishment, fulfillment execution, tool fleet condition and availability, vendor coordination, team hiring and performance, and daily operational rhythm. You will report into Tooling Solutions leadership and operate with the autonomy and accountability of a true general manager within your scope. If you have expertise in tools, consumables, and operating efficiently in high-pressure environments, this role offers an opportunity to make a significant impact. Primary Responsibilities EquipmentShare is more than just a rental company. With our proprietary T3 technology, we’re transforming how construction companies manage their equipment and operations by providing real-time insights into fleet availability, usage, and performance. Own the operational performance of the Haskell onsite supplies and tool rental location, including revenue contribution, margin, inventory carrying costs, and expense management within your scope Serve as the internal SME on supplies and tool rental for the broader EquipmentShare onsite presence, supporting escalations, product questions, and operational decisions that require category expertise Build and enforce operational SOPs, then hold the team accountable to them Manage the onsite tool rental fleet: availability, condition, utilization, maintenance coordination, and damage documentation Manage stock levels, reorder points, and product mix across construction consumables, fasteners, abrasives, PPE, safety supplies, concrete accessories, and general jobsite materials Coordinate with Tooling Solutions supply chain and preferred vendors to maintain fulfillment Identify gaps in the product mix and surface category expansion opportunities to divisional leadership based on what you are seeing on the ground Partner with the broader EquipmentShare commercial team on-site to ensure supplies and tool rental execution aligns with overall project commitments Hire, onboard, and develop branch staff as the operation scales Set clear performance expectations, deliver regular coaching, and hold the team accountable to standards Manage supplier relationships for key categories including abrasives, fasteners, PPE, concrete accessories, and general consumables 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 ability to function as an SME in both categories Inventory management experience: systems, replenishment, reconciliation, and physical operations Proven ability to lead a team, set standards, and drive consistent execution without constant oversight Comfort operating independently in a fast-moving, project-based, or remote jobsite environment Preferred: Prior experience in an onsite, embedded, or jobsite supply model Familiarity with large-scale construction project environments and multi-contractor site dynamics Background managing a tool fleet alongside consumables or supply operations Experience standing up a location or operation with limited existing infrastructure 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" : "General Manager (Tooling Solutions) at EquipmentShare. Skills: Operational management, Inventory control, Team leadership, Vendor relations. Own operational performance. 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Partner with engineering leadership; Engineering teammates; Cross-functional teams", "projectManagementSkills" : [ "Prototype quickly", "Measure impact" ], "domainKnowledge" : "Mortgage lending; AI underwriting; SDLC automation; Agentic developer tooling; Internal automation", "domainList" : [ "mortgage-lending", "ai-underwriting", "sdlc-automation", "agentic-developer-tooling", "internal-automation" ], "domainSpecificKnowledge" : [ "Mortgage lending", "AI underwriting", "SDLC automation", "Agentic developer tooling", "Internal automation" ], "toolProficiency" : [ "Terraform", "Pulumi" ], "communicationSkills" : "Communicate clearly", "continuousLearning" : "Continuous learning; Continuous improvement; Learning support; Professional development", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Difficult systems problems", "outcomesObjectives" : "Make SDLC radically automated; Make platform operations radically automated; Ship and operate more than headcount suggests; Accelerate how we write code; Accelerate how we review code; Accelerate how we test code; Accelerate how we ship code; Turn manual toil into automated workflows; Keep platform healthy with less human effort; Let every engineer ship faster; Let every engineer ship safer; Make agentic workflows reliable; Make agentic workflows repeatable; Move team's velocity", "qualificationsBasic" : "Experience building developer tooling, Experience building internal platforms, Experience building CI/CD, Experience building DevOps/SRE systems, Hands-on experience building with LLMs, Hands-on experience building with agents, Comfort with infrastructure, Comfort with operations, Track record of leading technical surface end-to-end", "qualificationsPreferred" : "Proficiency in Go, Proficiency in Python, Proficiency in TypeScript, Conviction and curiosity about applying LLMs to engineering workflows, Conviction and curiosity about applying agents to engineering workflows, Experience with Infrastructure-as-Code, Experience with Terraform, Experience with Pulumi, Experience with observability, Experience with practices that keep systems healthy under load, Built agentic developer tooling, Built internal automation that measurably moved team's velocity", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "STAFF ENGINEER, AGENTIC PRODUCTIVITY & INFRASTRUCTURE Location: San Francisco - hybrid, in-office two days a week Compensation: Competitive base + leadership-level equity MAKE OUR ENGINEERING ORG AS AGENTIC AS OUR PRODUCT AI is transforming mortgage lending - and it’s transforming how software gets built. We build AI agents for our customers; we should be just as aggressive about using agents to build and operate HomeVision itself. The opportunity is to make our own software development lifecycle and platform operations radically more automated and agentic, so our small team can ship and operate far more than our headcount would suggest. WHO WE ARE HomeVision is the AI underwriting platform for the $13 trillion U.S. mortgage industry. Our platform, MIRA, has already automated more than two million appraisal reviews for many of the country’s largest lenders and appraisal management companies, reducing review time by 75% and doubling underwriter productivity. Now we’re expanding beyond appraisal review to cover the full underwriting workflow - income, assets, credit, collateral, and loan file decisioning - to create the first end-to-end AI underwriting platform for the industry. MIRA’s been adopted by dozens of real enterprise customers with contracted production demand, including Newrez, the fourth-largest mortgage lender in the U.S. and a strategic investor in HomeVision, alongside our venture backers, Initialized Capital and NVP Capital. We’re looking for a staff-level engineer to own internal infrastructure and agentic productivity - the tools, systems, and agents that make our SDLC and platform maintenance faster, safer, and more automated. This is a force-multiplier role for the entire engineering org. You’ll partner directly with our CTO and engineering leadership to decide where agents and automation create the most leverage, and then build it. WHAT YOU’LL DO - Streamline the build-and-ship loop. Design internal systems and agents that accelerate how we write, review, test, and ship code - turning manual engineering toil into automated, agent-assisted workflows. - Automate platform operations. Build the systems that keep the platform healthy with less human effort - CI/CD, observability, alerting, and agent-assisted monitoring and incident response. - Continually improve our internal developer platform. Create the paved roads, tooling, and environments that let every engineer ship faster and more safely, and that make our agentic workflows reliable and repeatable. - Seek leverage. Identify where automation and agents pay off most across the engineering org, prototype quickly, and measure the impact on velocity and reliability. - Elevate the team. Establish the internal tooling patterns, libraries, and standards the rest of the team builds against. Mentor and recruit the engineers who’ll work alongside you. WHO YOU ARE - You’re deeply customer-focused. But in this case, your “customers” are your engineering teammates. You care about their workflows and the outcomes your tools produce, and you measure success by how much faster and safer the org ships. - You’re a builder at heart. You’ve shipped meaningful systems used by real people. You likely have side projects, strong opinions about technology, and genuine curiosity about where AI is heading. You are a creator. - You operate with urgency and ownership. You move quickly without sacrificing reliability or trust. You proactively identify problems, communicate clearly, and drive solutions. - You elevate the people around you. You bring strong engineering judgment, high standards, and collaborative energy. Teams become stronger when you’re involved. - You’re excited by difficult systems problems. Developer experience, automation, agent reliability, observability, and AI-assisted operations genuinely interest you. WHAT YOU’LL BRING ON THE TECHNICAL SIDE - Strong proficiency in Go, Python, and/or TypeScript is a bonus, but we trust that great engineers can learn on the job. - Experience building developer tooling, internal platforms, CI/CD, or DevOps/SRE systems in production. - Hands-on experience building with LLMs or agents - or strong conviction and curiosity about applying them to engineering workflows. - Comfort with infrastructure and operations - Infrastructure-as-Code (Terraform/Pulumi), observability, and the practices that keep systems healthy under load. - A track record of leading a technical surface end-to-end. Bonus if you’ve built agentic developer tooling or internal automation that measurably moved a team’s velocity. HOW WE WORK We’re a hybrid team headquartered in San Francisco, with team concentrations in Seattle and Argentina, with other great team members in parts of the U.S. Our values are the ones we actually use: - Start with questions, not answers. - Run at problems - make your footprint bigger than your foot. - Continuous learning, continuous improvement. - Be transparent and collaborative. - Value time. - Play to win, win for everyone. - Always do the loving thing. We’re growing the engineering team meaningfully over the next twelve months and this role will have a direct hand in shaping who that team becomes. COMPENSATION AND BENEFITS - Competitive compensation calibrated to senior/principal-level engineers in San Francisco - Meaningful equity ownership - Full medical, dental, and vision coverage - 401(k) with company match - Flexible vacation policy - Parental leave - Learning and professional development support HOW TO APPLY Send a note, a résumé, and (ideally) links to things you’ve built. GitHub, side projects, products you’ve shipped - whatever lets us see how you think and build. We’re thoughtful and deliberate about who joins the team, but we move quickly when we find the right person.", "summaryDescription" : "Staff Engineer, Agentic Productivity and Infrastructure at HomeVision. Skills: Agentic Productivity, Infrastructure, Developer Tooling, Automation. Streamline build-and-ship loop. Design internal systems", "createdAt" : "2026-06-16T00:27:52.410", "lastUpdated" : "2026-06-16T11:10:12.948", "ingestTimestamp" : "2026-06-16T00:27:52.410", "mongoId" : "6a305951f292fd229cf46ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Agentic workflows", "Automated workflows", "CI/CD", "Observability", "Alerting", "Incident response", "Internal developer platform", "Infrastructure-as-Code", "System health", "Leadership", "Mentoring", "Agentic Productivity", "Infrastructure", "Developer Tooling", "Automation", "System design", "Platform operations", "Developer experience", "Agent reliability", "AI-assisted operations", "Prototype quickly", "Measure impact", "Mortgage lending", "AI underwriting", "SDLC automation", "Agentic developer tooling", "Internal automation", "Terraform", "Pulumi" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6bdb74d8ee00a0915692", "title" : "HVAC Monitoring Technician", "company" : "Kelso Building Services", "salary" : { "min" : 42000.0, "max" : 58000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level HVAC Monitoring Technician in Draper, United States, with adjustments for company size and industry." }, "location" : "Draper, Utah, United States", "locations" : [ "Draper", "Utah", "United States" ], "certifications" : [ "Certification programs for monitoring center operations" ], "timestamp" : "2026-06-16T06:01:36.905", "fingerprint" : "8d579a2eebb20b9501e543397e6eb870ffe9fe8a63731a9528e0707567544e8d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://kelsobuildingservices.com/careers/?gh_jid=5238958008", "externalId" : "5238958008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Draper", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.5247777,-111.8627989" } ], "locationText" : "Draper, Utah, United States", "technicalSkills" : "Building automation systems, HVAC controls", "professionalSkills" : [ "Situational awareness", "Prioritization", "Process adherence", "Judgment", "Teamwork" ], "hardSkillsList" : [ "Remote support", "Alarm review", "System monitoring", "Troubleshooting" ], "hardSkills" : [ { "name" : "Remote support", "level" : "intermediate" }, { "name" : "Alarm review", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" } ], "majorSkills" : "System monitoring, Alarm response, Customer communication, Service coordination", "majorSkillsList" : [ "System monitoring", "Alarm response", "Customer communication", "Service coordination" ], "coreResponsibilities" : "Monitor building automation systems, Monitor HVAC systems, Monitor electrical systems, Monitor related systems, Respond to alerts, Review alarms, Prioritize alarms, Distinguish critical alerts, Distinguish informational notifications, Initiate escalation actions, Act as primary contact, Deliver clear communication, Deliver professional communication, Record interactions accurately, Collaborate with technicians, Collaborate with internal teams, Access customer systems securely, Analyze alarms, Analyze trends, Analyze system data, Perform remote actions, Document findings, Document outcomes, Create service tickets, Manage service tickets, Coordinate technician dispatch, Monitor service progress, Provide updates to stakeholders, Maintain records, Generate reports, Ensure compliance", "teamCollaboration" : "Internal service teams; Technicians; Stakeholders", "domainKnowledge" : "Building systems; Customer processes; Security practices; Monitoring center operations; Mechanical systems; Electrical systems", "domainList" : [ "building-systems", "customer-processes", "security-practices", "monitoring-center-operations", "mechanical-systems", "electrical-systems" ], "domainSpecificKnowledge" : [ "Building systems", "Customer processes", "Security practices", "Monitoring center operations", "Mechanical systems", "Electrical systems" ], "toolProficiency" : [ "Remote tools", "Ticketing platforms", "Service management platforms" ], "communicationSkills" : "Professional communication; Clear communication", "documentationSkills" : "Accurate documentation; Standardized service records", "continuousLearning" : "Ongoing learning; Quality improvement initiatives; Required training; Certification programs; Structured training pathways", "problemSolvingSkills" : "Issue identification; Troubleshooting; Decision-making", "specialRequirements" : "Rotating shifts, Evenings, Weekends, Holidays", "outcomesObjectives" : "Timely response to alerts; Accuracy in evaluation; Accuracy in escalation; Quality documentation; Completeness of documentation; Meeting service level agreements; Positive customer feedback; Completion of training; Completion of certifications", "qualificationsBasic" : "High school diploma or equivalent, Computer skills, Excellent written communication skills, Excellent verbal communication skills, Ability to follow structured procedures, Ability to follow escalation processes, High level of accuracy, Attention to detail, Ability to stay composed in time-sensitive situations, Flexibility to work rotating schedules, Flexibility to work nights, Flexibility to work weekends", "qualificationsPreferred" : "Technical education is a plus, Experience with building automation systems, Experience with HVAC controls, Experience with facilities operations, Background in monitoring centers, Background in help desks, Background in dispatch, Background in call centers, Familiarity with ticketing platforms, Familiarity with service management platforms", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Kelso Building Services (KBS), we invest in our people by providing the training, tools, and support needed to succeed. Our culture is built on accountability, innovation, and delivering an exceptional customer experience. Team members have the opportunity to grow within a forward-thinking organization supporting critical building operations nationwide. We are hiring both Level 1 and Level 2 Operators, based on experience. Rotating shifts that may include evenings, weekends, and holidays. Role Summary This person serves as a key point of contact for KBS’s 24/7 monitoring services. This position is responsible for overseeing customer building systems in real time, responding to alerts, and coordinating service actions using established procedures. This is a structured, fast-moving role that requires strong attention to detail and adherence to processes. Operators act as the bridge between customer facilities and internal service teams. Level 1 Operators focus on alarm review, communication, documentation, and basic remote support tasks. Level 2 Operators bring additional technical experience and handle more advanced troubleshooting and decision-making. Core Responsibilities System Monitoring & Response Continuously monitor building automation, HVAC, electrical, and related systems for alerts or irregular activity Review and prioritize alarms using predefined workflows and response criteria Distinguish between critical alerts and informational notifications using established guidelines Initiate appropriate escalation actions based on customer-specific protocols Customer Communication & Support Act as a primary contact for customer emails and phone inquiries Deliver clear, professional communication during service events Record all interactions accurately within internal systems Collaborate with technicians and internal teams to ensure timely resolutions Remote Troubleshooting Access customer systems securely using approved remote tools Analyze alarms, trends, and system data to support issue identification Perform approved remote actions such as resets, schedule checks, and setpoint verification Document findings and outcomes in standardized service records Dispatch & Service Coordination Create and manage service tickets within company platforms Coordinate technician dispatch based on scope, urgency, and approval requirements Monitor service progress and provide updates to stakeholders Reporting & Documentation Maintain complete and audit-ready records of all activities Generate reports related to alarms, system performance, and service activity Ensure compliance with service standards and response expectations Training & Development Complete required training in building systems, customer processes, and security practices Participate in certification programs for monitoring center operations Engage in ongoing learning and quality improvement initiatives Basic Qualifications Required: High school diploma or equivalent (technical education is a plus) Strong computer skills with the ability to navigate multiple systems simultaneously Excellent written and verbal communication skills Ability to follow structured procedures and escalation processes High level of accuracy and attention to detail Ability to stay composed in time-sensitive situations Flexibility to work rotating schedules, including nights and weekends Preferred (Level 2): Experience with building automation systems (BAS), HVAC controls, or facilities operations Background in monitoring centers, help desks, dispatch, or call centers Familiarity with ticketing or service management platforms Basic knowledge of mechanical or electrical systems Key Skills & Attributes Strong situational awareness and prioritization ability Consistency in following defined processes Customer-first mindset Sound judgment when escalating issues Effective teamwork and communication Commitment to learning and professional growth Performance Expectations Success in this role is measured by: Timely response to system alerts Accuracy in issue evaluation and escalation Quality and completeness of documentation Meeting service level agreements (SLAs) Positive customer feedback Completion of required training and certifications Growth Opportunities This role provides a starting point for long-term careers within KBS’s operations and technology teams. Advancement opportunities may include: ROC Operator – Level 2 Remote Systems Specialist Building Automation Support Operations Supervisor Monitoring & Analytics roles Advancement is performance-based and supported by structured training pathways. Why Work at KBS Be part of a growing digital facilities and remote operations platform Gain exposure to advanced smart building technologies Access formal training and certification programs Contribute to mission-critical operations that impact customer uptime Join a company focused on safety, performance, and innovation Compensation & Benefits Competitive hourly pay Medical benefits package Paid time off 401(k) with company match", "summaryDescription" : "HVAC Monitoring Technician at Kelso Building Services. Skills: System monitoring, Alarm response, Customer communication, Service coordination. Monitor building automation systems. Monitor HVAC systems", "postedDate" : "2026-06-14T20:07:58.305", "createdAt" : "2026-06-14T20:07:58.305", "lastUpdated" : "2026-06-16T06:01:36.905", "ingestTimestamp" : "2026-06-14T20:07:58.305", "mongoId" : "6a2c6bdb74d8ee00a0915692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42000, "salaryAnnualMax" : 58000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Remote support", "Alarm review", "System monitoring", "Troubleshooting", "Alarm response", "Customer communication", "Service coordination", "Situational awareness", "Prioritization", "Process adherence", "Judgment", "Teamwork", "Building systems", "Customer processes", "Security practices", "Monitoring center operations", "Mechanical systems", "Electrical systems", "Certification programs for monitoring center operations", "Remote tools", "Ticketing platforms", "Service management platforms" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2db57d74d8ee00a0c924f6", "title" : "Tooling Toolmaker", "company" : "STANLEY Engineered Fastening", "salary" : { "min" : 22.55, "max" : 22.55, "currency" : "USD", "frequency" : "yearly" }, "location" : "Decorah, IA, United States", "locations" : [ "Decorah, IA, United States", "United States of America" ], "timestamp" : "2026-06-16T04:51:36.389", "fingerprint" : "bc3d9f3fd04f3fc7cb1884a08f27c83a5eff402ac401e3420785ae15b036849e", "source" : "workday", "language" : "en", "applyUrl" : "https://sbdinc.wd1.myworkdayjobs.com/Stanley_Black_Decker_Career_Site/job/Decorah-IA-United-States/Tooling-Toolmaker---1st-shift--M-F-7am-3pm--Pay-Rate---2255-----Sign-on-Bonus--_REQ-1000047175", "externalId" : "REQ-1000047175", "industryFunction" : { }, "locationPoint" : "43.30331,-91.78571", "structuredLocations" : [ { "city" : "Decorah", "state" : "Iowa", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.3041609,-91.7859098" } ], "locationText" : "Decorah, Iowa, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "rawDescription" : "**Tooling Toolmaker****– 1st shift, M-F 7am-3pm, Pay Rate $22.55 + **Sign-on Bonus**** **_Make Your Mark. Shape Your Future._** STANLEY® Engineered Fastening is the global leader in precision fastening and assembly solutions, with a history spanning nearly 100 years. Our portfolio features industry-leading brands such as Avdel®, Integra™, Nelson®, Optima®, POP®, and Tucker®. We empower engineers in Automotive, Aerospace, and Industrial sectors with innovative products that ensure efficiency, reliability, and quality in manufacturing processes. We pride ourselves on fostering a culture of innovation and creativity. Our skilled team develops, manufactures, and distributes cutting-edge fastening and joining solutions to meet modern engineering and manufacturing challenges. It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join us and be part of a company at the forefront of technological evolution, delivering solutions that shape the future of the fastening industry. **What You’ll Do** As a **Tooling Toolmaker** you’ll be part of our manufacturing team located in Decorah, IA. You’ll get to: Under supervision learn to read blueprints, use gages and equipment for the purpose of making and reworking header and secondary tooling for fastener manufacturing. Utilize and understand the purpose and operation of required toolroom equipment. Capable of making header tooling and set-ups to die prints with minimal supervision to meet necessary quality and productivity requirements for heading and secondary departments. Reads all manufacturing and tooling blueprints and select and prepare necessary tools to meet print tolerances. Maintains back-up tooling required to eliminate header downtime and enhance production efficiencies. Follows schedules and prioritizes duties based on needs and productivity requirements or assigned by supervisor or leadperson. Knows and follows ISO & IATF16949 and SPC procedures pertaining to toolroom. Provides assistance to header operators with tooling needs to produce parts to specified dimensions. Initiates T.C.R.'s and E.C.'s as needed to improve tooling designs as well as updates setup sheets and reviews obsolete orders. Recognizes the acceptable quality of draw dies. Learn how to interpret tooling and production prints. Utilize and understand all toolroom inspection equipment. Maintain cleanliness of work area. Follow company safety guidelines. Learn preventative maintenance procedures. Follow all safety rules. Performs all other duties as requested by Supervisor or Leadperson. Must be available to work overtime as needed. **Who You Are** You always strive to do a good job…but wouldn’t it be great if you could do your job and do a world of good? You care about quality – at every level. You love to learn and grow and be acknowledged for your valuable contributions. You’re not intimidated by innovation. In fact, you embrace it. You also have: **_Required Skills:_** High School diploma or GED equivalent. Strong mechanical ability. General shop knowledge. Basic math skills. Good human relations skills. Knowledge in IATF16949 and ISO14001 requirements. **_Preferred Skills & Abilities:_** Educational certification in industrial-related field. Header or tooling experience. _Tools Used:_ Basic toolroom equipment ( lathes, grinders, and cut-off saws) Basic inspection equipment ( micrometers, calipers, and indicators) What You’ll Receive You’ll receive a competitive salary and a great benefits plan: * Medical, dental, life, vision, wellness program, disability, 401(k), Employee Stock Purchase Plan, paid time off and tuition reimbursement. * Discounts on Stanley Black & Decker tools and other partner programs. What’s more, you’ll get that pride that comes from empowering makers, doers, protectors and everyday heroes all over the world. We’re more than the #1 tools and storage company, with a leading presence in engineered fastening. We’re visionaries. Industry 4.0 innovators. As successful as we’ve been in the past, we have so much further to go. That’s where you come in. Join us! _All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristic._ **_We Don’t Just Build The World, We Build Innovative Technology Too._** Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 43,500 professionals in 60 countries across the globe. Here, you’ll get the unique chance to impact some of the world’s most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights. **Who We Are** We’re the World’s largest tool company. We’re industry visionaries. We’re solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art “smart factory” products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company. **Benefits & Perks** You’ll get a competitive salary and a comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement. And, of course, discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners. **What You’ll Also Get** Career Opportunity: Career paths aren’t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths. **Learning & Development: ** Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities). **Diverse & Inclusive Culture:** We pride ourselves on being an awesome place to work. We respect and embrace differences because that’s how the best work gets done. You’ll find we like to have fun here, too. **Purpose-Driven Company:** You’ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices. **EEO Statement:** All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristic. If you require reasonable accommodation to complete an application or access our website, please contact us at (860) 827-3923 or at [accommodations@sbdinc.com](mailto:accommodations@sbdinc.com). Due to volume, we cannot respond to unrelated inquiries about the status of a completed application or resetting an account password. 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: "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. 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"language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/aa141487-e9b4-43cc-8667-1eab29c0404d/application", "externalId" : "aa141487-e9b4-43cc-8667-1eab29c0404d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "Data delivery", "MLOps", "AI-assisted analytics", "Agentic data engineering", "Data engineering workflows", "Data pipelines", "Data products", "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control" ], "hardSkillsList" : [ "Data modeling", 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"level" : "intermediate" }, { "name" : "Metrics definition", "level" : "intermediate" }, { "name" : "Operating model definition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, Decision Tooling, Product Management", "majorSkillsList" : [ "Data Platform", "Decision Tooling", "Product Management" ], "coreResponsibilities" : "Own a trusted data platform, Lead platform reliability, Lead platform usability, Lead platform governance, Lead platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Power production-ready ML, Enable AI-assisted self-serve analytics, Build for agentic data engineering, Shape AI and automation for data engineering, Scale data delivery, Strengthen data movement, Strengthen data transformation, Strengthen data maintenance, Strengthen data serving, Make quality visible, Turn data quality into capability, Shape the operating model, Define interfaces between teams, Connect technical investment to outcomes, Drive experimentation velocity, Drive personalisation, Drive revenue impact, Drive cost control, Drive better product decisions", "teamCollaboration" : "Cross-functional teams; Product engineering teams; Analytics teams; Data science teams; Business teams; AI platform teams; Data platform teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Data platform; Decision tooling; Machine learning; AI; Data quality; Data governance; Data engineering; Travel industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data platform", "Decision tooling", "Machine learning", "AI", "Data quality", "Data governance", "Data engineering", "Travel industry" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, Decision Tooling, Product Management. Own a trusted data platform. 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Regular, Fixed Term - Regular" ], "timestamp" : "2026-06-15T06:58:35.772", "fingerprint" : "3597ba31a81f037c874e819e5a03c8c584b085a5bec01951b6275720aa7d8f99", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1309957", "externalId" : "1309957", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "state" : "Vienna", "country" : "Austria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1857192,16.4221587" } ], "locationText" : "Vienna, Vienna, Austria", "domainKnowledge" : "Radiation Safety; Monitoring", "domainList" : [ "radiation-safety", "monitoring" ], "domainSpecificKnowledge" : [ "Radiation Safety", "Monitoring" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NSRW-Radiation Safety and Monitoring Section Austria-Vienna-Vienna-IAEA Headquarters", "summaryDescription" : "Section Head (Radiation Safety and Monitoring)(P5) at IAEA", "createdAt" : "2026-06-14T06:51:15.986", "lastUpdated" : "2026-06-15T06:58:35.772", "ingestTimestamp" : "2026-06-14T06:51:15.986", "mongoId" : "69f8686f4c40e2acd1f7ebb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Radiation Safety", "Monitoring" ], "skillCount" : 2, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a5b74d8ee00a090b771", "title" : "Senior Development Tooling Engineer", "company" : "Adyen", "industry" : "FinTech", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Development Tooling Engineer in Amsterdam, Netherlands, adjusted for the FinTech industry and Adyen's company profile." }, "location" : "Amsterdam", "locations" : [ "Amsterdam" ], "timestamp" : "2026-06-15T23:14:42.597", "fingerprint" : "e9c99cb280b03995eea2e21df0d8665264f4b4cf79a307ece8d061b1ef2722fa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/adyen/jobs/7835921", "externalId" : "7835921", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, Netherlands", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "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" : "Senior Development Tooling Engineer at Adyen", "postedDate" : "2026-06-14T18:57:05.518", "createdAt" : "2026-06-14T18:57:05.518", "lastUpdated" : "2026-06-15T23:14:42.597", "ingestTimestamp" : "2026-06-14T18:57:05.518", "mongoId" : "6a2c6a5b74d8ee00a090b771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cafed74d8ee00a09d83cf", "title" : "Director of Product - Data Platform and Decision Tooling", "company" : "Skyscanner", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director of Product in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-15T08:15:47.164", "fingerprint" : "a4e711ada7f64ef3ad7274a130224cc6b0c75f6bdae3559a6db9eb38ab7abea5", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/skyscanner/350e50f6-ea4f-4898-92ce-497e253d5e61/application", "externalId" : "350e50f6-ea4f-4898-92ce-497e253d5e61", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Data Platform, ML, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition" ], "hardSkillsList" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Experimentation velocity", "level" : "intermediate" }, { "name" : "Personalisation", "level" : "intermediate" }, { "name" : "Revenue impact", "level" : "intermediate" }, { "name" : "Cost control", "level" : "intermediate" }, { "name" : "Product decisions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Platform, ML, AI, Product Management", "majorSkillsList" : [ "Data Platform", "ML", "AI", "Product Management" ], "coreResponsibilities" : "Own data platform reliability, Own data platform usability, Own data platform governance, Own data platform economic performance, Ensure product teams can test, Ensure product teams can learn, Ensure product teams make decisions quickly, Help data and ML signals move to dependable, Create foundations for teams to ask better questions, Create foundations for teams to find answers faster, Create foundations for teams to consume analytics, Shape how AI and automation support data engineering, Strengthen how data is moved, Strengthen how data is transformed, Strengthen how data is maintained, Strengthen how data is served, Turn data quality into managed capability, Define interfaces between teams, Connect technical investment to outcomes", "teamCollaboration" : "Cross-functional teams; Product engineering; Analytics teams; Data science teams; Business teams", "projectManagementSkills" : [ "Roadmap", "Priorities" ], "domainKnowledge" : "Data Platform; Decision Tooling; Machine Learning; AI; Data Quality; Data Governance; Data Engineering; Travel Industry", "domainList" : [ "data-platform", "decision-tooling", "machine-learning", "ai", "data-quality", "data-governance", "data-engineering", "travel-industry" ], "domainSpecificKnowledge" : [ "Data Platform", "Decision Tooling", "Machine Learning", "AI", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "innovationCreativity" : "AI-native experiences", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Faster experimentation; Production-ready ML; Stronger data quality; Scalable delivery; Experimentation velocity; Personalisation; Revenue impact; Cost control; Better product decisions", "qualificationsBasic" : "Platform leader at scale, Product-minded and commercially sharp, Confident with data-powered products, Quality and ownership obsessed, Cross-functional by nature, Direct and pacey, Strategic but sleeves-rolled-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Skyscanner Everyone loves travelling, but planning is not without its challenges ✈️. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 160 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily \uD83D\uDCBB. Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all \uD83C\uDF0D. Our vision? To be the world's number one travel ally. (Ambitious? \uD83D\uDCAA Yes, but, hey, that's what got us here) About the role (Hybrid) Data has been at the heart of Skyscanner’s decision-making for over 20 years, and now our platform capability is stepping into an even bigger spotlight. You’ll own the foundations that help us turn data into trusted decisions, personalised product experiences, and measurable business impact at scale. You’ll keep today’s platform dependable while building what comes next: faster experimentation, production-ready ML and decisioning, stronger data quality, clearer ownership, and scalable delivery that does not need a small army to keep it moving. Think platform leadership, product judgement, commercial impact, and just enough travel chaos to keep things interesting. Inspired by the structure and tone of the example JDs. You can be based in Barcelona, Edinburgh or London where we adopt a hybrid working policy of working in the office twice a week. What you’ll be doing - Owning a trusted data platform: You’ll lead the reliability, usability, governance, and economic performance of the platform the whole data organisation depends on. - Making experimentation fly: You’ll ensure product teams can test, learn, and make decisions quickly, with clean assignment, accurate exposure capture, and confidence in the numbers. - Powering production-ready ML: You’ll help data and ML signals move from promising ideas to dependable traveller-facing experiences, without bespoke rework every time. - Enabling AI-assisted self-serve analytics: You’ll help create the foundations for teams to ask better questions, find trusted answers faster, and consume analytics through AI-native experiences grounded in governed metrics, clear definitions, and reusable knowledge. - Building for agentic data engineering: You’ll shape how AI and automation can support data engineering workflows, from discovery and documentation to pipeline development, testing, monitoring, incident response, and faster delivery of trusted data products. - Scaling data delivery: You’ll strengthen how data is moved, transformed, maintained, and served, so Skyscanner can support more use cases without scaling complexity at the same speed. - Making quality visible: You’ll turn data quality into a managed organisational capability, with clear ownership, measurable health, and faster issue detection and resolution. - Shaping the operating model: You’ll define the interfaces between data platform, AI platform, product engineering, analytics, data science, and business teams. - Turning platform work into impact: You’ll connect technical investment to outcomes like experimentation velocity, personalisation, revenue impact, cost control, and better product decisions. About you - Platform leader at scale: You’ve led business-critical platforms that many teams rely on, and you know how to make shared infrastructure trusted, adopted, and economically sustainable. - Product-minded and commercially sharp: You connect platform choices to company priorities, from revenue impact and product learning to operational risk and ROI. - Confident with data-powered products: You’ve enabled experimentation, ML, decisioning, or similar capabilities where data moves into real product experiences. - Quality and ownership obsessed: You know how to make standards, measurement, accountability, and support models stick without wrapping everyone in red tape. - Cross-functional by nature: You build alignment across product, engineering, AI, analytics, data science, and business teams, while keeping boundaries clear and useful. - Direct and pacey: You move with the speed the business needs, make decisions with incomplete information, and are honest when something is not working. - Strategic but sleeves-rolled-up: You can zoom out to shape the future state, then zoom in to unblock teams, sharpen priorities, and get the platform humming. What it's like here We are the real deal https://www.skyscanner.net/jobs/life— no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans ❤️, building things that help travellers explore the world a little easier \uD83E\uDDED. Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better — and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all https://www.skyscanner.net/jobs/esg ✨. Sound like your kind of adventure? \uD83D\uDE80 Apply now and help us shape the future of travel. We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, and/or wish to apply under the Disability Confident https://www.skyscanner.net/news/a-disability-confident-employer scheme, please let your recruiter know. If you’d like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these. ", "summaryDescription" : "Director of Product - Data Platform and Decision Tooling at Skyscanner. Skills: Data Platform, ML, AI, Product Management. Own data platform reliability. Own data platform usability", "createdAt" : "2026-06-13T21:49:02.566", "lastUpdated" : "2026-06-15T08:15:47.164", "ingestTimestamp" : "2026-06-13T21:49:02.566", "mongoId" : "6a2cafed74d8ee00a09d83cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Experimentation velocity", "Personalisation", "Revenue impact", "Cost control", "Product decisions", "Leadership", "Data Platform", "ML", "AI", "Product Management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Platform leadership", "Product judgement", "Commercial impact", "Data quality", "Data governance", "MLOps", "Data engineering", "AI automation", "Data delivery", "Operating model definition", "Roadmap", "Priorities", "Decision Tooling", "Machine Learning", "Data Quality", "Data Governance", "Data Engineering", "Travel Industry" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e424f8b1b0376634c5c9", "title" : "Sr PMT, Productivity Tooling, AWS Training and Certification", "company" : "Amazon Web Services, Inc.", "industry" : "Project/Program/Product Management--Technical, Product Management - Technical, Cloud Computing", "salary" : { "min" : 136100.0, "max" : 235200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T07:30:13.092", "fingerprint" : "8439de1e6d7ad7d3359f18e4cc42f116d7c548eb4bf0684d149873c11ccdf21b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077137/apply", "externalId" : "cba3146e-9a2a-4acd-85f1-c5ff546f9fdb", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "Product strategy", "Roadmap definition", "Business cases", "User stories", "Requirements gathering", "Go-to-market" ], "hardSkillsList" : [ "Technical product management", "Generative AI" ], "hardSkills" : [ { "name" : "Technical product management", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap planning, Technical understanding", "majorSkillsList" : [ "Product strategy", "Roadmap planning", "Technical understanding" ], "coreResponsibilities" : "Define product vision and strategy, Develop business cases, strategy, requirements, user stories, Establish metrics and key performance indicators, Use metrics to drive improvement and innovation, Partner cross-functionally to launch and go-to-market, Obsess over customer needs, Engage customers and understand their needs, Dive deep into requirements, Prioritize initiatives, Create product roadmaps, Facilitate focus and trade-off decisions", "teamCollaboration" : "Cross-functional teams; Product managers; Field teams; Operations teams; User experience teams; Technology teams; Engineering teams; Executive leaders; Customers; Partners; AWS Field; Service teams", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Productivity tooling; Sales and delivery tooling; Authentication technologies; Profile management; Generative AI", "domainList" : [ "productivity-tooling", "sales-and-delivery-tooling", "authentication-technologies", "profile-management", "generative-ai" ], "domainSpecificKnowledge" : [ "Productivity tooling", "Sales and delivery tooling", "Authentication technologies", "Profile management", "Generative AI" ], "innovationCreativity" : "Envision new ways to solve customer problems; Accelerating starts; Simplifying efforts", "problemSolvingSkills" : "Exceptional problem-solving skills", "qualificationsBasic" : "Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent, 5+ years of experience owning/driving roadmap strategy and definition for software products or cloud services, with feature delivery and tradeoffs, 5+ years of experience working with engineering teams around technology decisions and strategy related to a product", "qualificationsPreferred" : "2+ years of experience in productivity and management software or services, 2+ years of experience in project management methodologies, business analysis, or process improvement, 2+ years of experience working in learning management service or technology industries, 1+ year of experience in using analytical tools, such as Tableau, Qlikview, QuickSight", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Training & Certification is looking for an experienced product leader who is passionate about transforming education on behalf of Amazon and its customers. As a Senior Product Manager, Technical for the AWS Training and Certification’s Skill Builder Core Services team, you will be responsible for the comprehensive technical product strategies around internal tooling around Productivity and Sales & Delivery that work backwards from the users, considering developer needs as well as security postures. You will envision new ways to solve customer problems, helping organizations and the field create and scale faster, while accelerating starts and simplifying efforts for our users with Generative AI. You will own defining product vision and strategy through deep understanding of customer needs and of latest solutions in AWS and industry technologies. You will also work across a team of product managers to align our overall product roadmap in partnership with product, field, operations, user experience, and technology teams. You will work closely every day with developers and designers to build services and technologies that support delightful access experiences. This role works closely with executive leaders, engineering, and customers, and partners with AWS Field and Service teams to enable customers to innovate with AWS technology. The successful candidate must have exceptional problem-solving skills, strong business judgement, deep technical understanding, and demonstrated experience influencing both internally and externally at all levels as well as proven ability to execute both strategically, and tactically. This position requires a candidate who is customer focused with a passion for new, ambiguous, industry-defining projects in authentication technologies and profile management. Key job responsibilities - Obsess over customer needs by working directly with our field teams to engage customers and understand their needs, use cases, and priorities - Dive deep into the requirements that enable our engineering team to deliver with speed, agility, and accuracy. - Prioritize initiatives and create product roadmaps to help facilitate focus and trade-off decisions. - Develop business cases, strategy, requirements, user stories - Establish metrics and key performance indicators to manage your services and business area - Use metrics to drive improvement and innovation - Partner cross-functionally to launch and go-to-market About the team AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. About AWS Diverse Experiences AWS 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. 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. 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 & 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. 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. Basic Qualifications: - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - 5+ years of experience owning/driving roadmap strategy and definition for software products or cloud services, with feature delivery and tradeoffs - 5+ years of experience working with engineering teams around technology decisions and strategy related to a product Preferred Qualifications: - 2+ years of experience in productivity and management software or services - 2+ years of experience in project management methodologies, business analysis, or process improvement - 2+ years of experience working in learning management service or technology industries - 1+ year of experience in using analytical tools, such as Tableau, Qlikview, QuickSight 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/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" : "Sr PMT, Productivity Tooling, AWS Training and Certification at Amazon Web Services, Inc.. Skills: Product strategy, Roadmap planning, Technical understanding. Define product vision and strategy. Develop business cases, strategy, requirements, user stories", "postedDate" : "2026-06-13T15:27:29.472", "createdAt" : "2026-06-13T15:27:29.472", "lastUpdated" : "2026-06-15T07:30:13.092", "ingestTimestamp" : "2026-06-13T15:27:29.472", "mongoId" : "68c2e424f8b1b0376634c5c9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077137/apply", "salaryAnnualMin" : 136100, "salaryAnnualMax" : 235200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Technical product management", "Generative AI", "Product strategy", "Roadmap planning", "Technical understanding", "Roadmap definition", "Business cases", "User stories", "Requirements gathering", "Go-to-market", "Productivity tooling", "Sales and delivery tooling", "Authentication technologies", "Profile management" ], "skillCount" : 14, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305119f292fd229cef9d45", "title" : "Monitoring Product Marketing Manager", "industry" : "Marketing", "salary" : { "min" : 105600.0, "max" : 145200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:54:35.906", "fingerprint" : "e2ac9e28b1feb7af28ad1539a61f122b65844a442e3a5fb57db65566037e9261", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/71f3259b-7566-4a41-9d91-cb44a53f52e6/apply", "externalId" : "71f3259b-7566-4a41-9d91-cb44a53f52e6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Product marketing", "Product management", "Market analysis", "Go-to-market strategy", "Product messaging", "Brand awareness", "Market leadership", "Ecosystem development" ], "hardSkillsList" : [ "Geospatial technologies", "Geospatial applications", "Monitoring systems", "Surveying technologies" ], "hardSkills" : [ { "name" : "Geospatial technologies", "level" : "intermediate" }, { "name" : "Geospatial applications", "level" : "intermediate" }, { "name" : "Monitoring systems", "level" : "intermediate" }, { "name" : "Surveying technologies", "level" : "intermediate" } ], "majorSkills" : "Product marketing, Go-to-market strategy, Market analysis", "majorSkillsList" : [ "Product marketing", "Go-to-market strategy", "Market analysis" ], "coreResponsibilities" : "Define global product marketing strategy, Lead go-to-market strategy, Drive product lifecycle, Act as subject matter expert, Align engineering, product, sales teams, Conduct global field research, Conduct market analysis, Build compelling product messaging, Build compelling product positioning, Represent monitoring portfolio, Promote monitoring portfolio, Collaborate cross-functionally, Support strategic partnerships, Support ecosystem development", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Sales teams; Global teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Construction industry; Infrastructure industry; Mining industry; Geospatial technologies; Monitoring systems; Surveying technologies", "domainList" : [ "construction-industry", "infrastructure-industry", "mining-industry", "geospatial-technologies", "monitoring-systems", "surveying-technologies" ], "domainSpecificKnowledge" : [ "Construction industry", "Infrastructure industry", "Mining industry", "Geospatial technologies", "Monitoring systems", "Surveying technologies" ], "communicationSkills" : "Simplify complex technical concepts", "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovation", "specialRequirements" : "Willingness to travel internationally 20-30%", "outcomesObjectives" : "Strengthen brand awareness; Expand product reach; Expand product adoption; Market leadership", "qualificationsBasic" : "Bachelor’s degree in STEM, 3+ years of experience in product marketing, Understanding of monitoring systems, Proven ability to influence cross-functional teams, Excellent communication skills, Organizational and project management skills, Demonstrated ownership mindset", "qualificationsPreferred" : "Experience with Jira, Experience with Miro, Experience with DOMO, Experience with Google Workspace", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and lead global product marketing and go-to-market strategy for monitoring solutions across construction, infrastructure, and mining sectors. Drive the full product lifecycle, from market requirements and positioning through launch execution and post-launch optimization. Act as a subject matter expert, aligning engineering, product, and sales teams around customer needs and strategic market opportunities. Conduct global field research and market analysis to identify gaps, emerging trends, and new business opportunities. Build and execute compelling product messaging and positioning that translates complex geospatial technologies into clear customer value. Represent and promote the monitoring portfolio at global industry events, conferences, and trade shows to strengthen brand awareness and market leadership. Collaborate cross-functionally to ensure alignment between product development priorities and market demand. Support strategic partnerships and ecosystem development to expand product reach and adoption. Requirements: Bachelor’s degree in a STEM field such as Geomatics, Civil Engineering, Geotechnical Engineering, Surveying, or a related discipline. 3+ years of experience in product marketing, product management, or a related technical commercial role within geospatial, construction, mining, or infrastructure industries. Strong understanding of monitoring systems, surveying technologies, or related geospatial applications. Proven ability to influence cross-functional teams and drive product strategy without formal authority. Excellent communication skills with the ability to simplify complex technical concepts for both technical and non-technical audiences. Strong organizational and project management skills with the ability to thrive in fast-paced, global environments. Demonstrated ownership mindset with accountability for product success and go-to-market execution. Experience with tools such as Jira, Miro, DOMO, or Google Workspace is a plus. Willingness to travel internationally approximately 20–30% of the time. Benefits: Competitive salary range approximately $105,600 to $145,200 annually, with eligibility for performance-based bonuses. Comprehensive health coverage including medical, dental, and vision insurance. Retirement savings plans and Employee Stock Purchase Plan. Paid time off, parental leave, and flexible work arrangements depending on location. Opportunity to work on cutting-edge geospatial and monitoring technologies with real-world global impact. International exposure through collaboration with global teams and industry events. Professional growth in a highly innovative, engineering-driven environment. Inclusive and collaborative culture focused on ownership, innovation, and continuous learning. ## 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" : "Monitoring Product Marketing Manager. Skills: Product marketing, Go-to-market strategy, Market analysis. Define global product marketing strategy. Lead go-to-market strategy", "postedDate" : "2026-06-15T08:21:46.896", "createdAt" : "2026-06-15T08:21:46.896", "lastUpdated" : "2026-06-16T11:54:35.906", "ingestTimestamp" : "2026-06-16T03:23:09.933", "mongoId" : "6a305119f292fd229cef9d45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105600, "salaryAnnualMax" : 145200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Geospatial technologies", "Geospatial applications", "Monitoring systems", "Surveying technologies", "Product marketing", "Go-to-market strategy", "Market analysis", "Product management", "Product messaging", "Brand awareness", "Market leadership", "Ecosystem development", "Project management", "Construction industry", "Infrastructure industry", "Mining industry" ], "skillCount" : 16, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305119f292fd229cef9d44", "title" : "Monitoring Product Marketing Manager", "industry" : "Marketing", "salary" : { "min" : 105600.0, "max" : 145200.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-16T11:04:02.703", "fingerprint" : "433f13b9dea8c235c194cb8c1cbc79a0f12f84a1589ee57da9b9afe89f5b0c2b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/66d7dd5a-2f6c-4949-961e-8004ff6b4433/apply", "externalId" : "66d7dd5a-2f6c-4949-961e-8004ff6b4433", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Product strategy", "Market analysis", "Go-to-market strategy", "Product lifecycle management" ], "hardSkillsList" : [ "Geospatial technologies", "Product messaging", "Customer value proposition" ], "hardSkills" : [ { "name" : "Geospatial technologies", "level" : "intermediate" }, { "name" : "Product messaging", "level" : "intermediate" }, { "name" : "Customer value proposition", "level" : "intermediate" } ], "majorSkills" : "Product marketing, Go-to-market strategy, Market analysis", "majorSkillsList" : [ "Product marketing", "Go-to-market strategy", "Market analysis" ], "coreResponsibilities" : "Define global product marketing strategy, Lead go-to-market strategy, Drive product lifecycle, Act as subject matter expert, Align engineering, product, and sales, Conduct global field research, Conduct market analysis, Build compelling product messaging, Build product positioning, Represent monitoring portfolio, Promote monitoring portfolio, Collaborate cross-functionally, Ensure alignment between priorities and demand, Support strategic partnerships, Support ecosystem development", "teamCollaboration" : "Align engineering, product, sales; Cross-functional collaboration", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Construction industry; Infrastructure industry; Mining sectors; Monitoring systems; Surveying technologies; Geospatial applications", "domainList" : [ "construction-industry", "infrastructure-industry", "mining-sectors", "monitoring-systems", "surveying-technologies", "geospatial-applications" ], "domainSpecificKnowledge" : [ "Construction industry", "Infrastructure industry", "Mining sectors", "Monitoring systems", "Surveying technologies", "Geospatial applications" ], "communicationSkills" : "Simplify complex technical concepts", "specialRequirements" : "Willingness to travel internationally", "qualificationsBasic" : "Bachelor’s degree in STEM, 3+ years product marketing experience, Understanding of monitoring systems, Proven ability to influence cross-functional teams, Organizational and project management skills, Demonstrated ownership mindset", "qualificationsPreferred" : "Experience with Jira, Experience with Miro, Experience with DOMO, Experience with Google Workspace", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Define and lead global product marketing and go-to-market strategy for monitoring solutions across construction, infrastructure, and mining sectors. Drive the full product lifecycle, from market requirements and positioning through launch execution and post-launch optimization. Act as a subject matter expert, aligning engineering, product, and sales teams around customer needs and strategic market opportunities. Conduct global field research and market analysis to identify gaps, emerging trends, and new business opportunities. Build and execute compelling product messaging and positioning that translates complex geospatial technologies into clear customer value. Represent and promote the monitoring portfolio at global industry events, conferences, and trade shows to strengthen brand awareness and market leadership. Collaborate cross-functionally to ensure alignment between product development priorities and market demand. Support strategic partnerships and ecosystem development to expand product reach and adoption. Requirements: Bachelor’s degree in a STEM field such as Geomatics, Civil Engineering, Geotechnical Engineering, Surveying, or a related discipline. 3+ years of experience in product marketing, product management, or a related technical commercial role within geospatial, construction, mining, or infrastructure industries. Strong understanding of monitoring systems, surveying technologies, or related geospatial applications. Proven ability to influence cross-functional teams and drive product strategy without formal authority. Excellent communication skills with the ability to simplify complex technical concepts for both technical and non-technical audiences. Strong organizational and project management skills with the ability to thrive in fast-paced, global environments. Demonstrated ownership mindset with accountability for product success and go-to-market execution. Experience with tools such as Jira, Miro, DOMO, or Google Workspace is a plus. Willingness to travel internationally approximately 20–30% of the time. Benefits: Competitive salary range approximately $105,600 to $145,200 annually, with eligibility for performance-based bonuses. Comprehensive health coverage including medical, dental, and vision insurance. Retirement savings plans and Employee Stock Purchase Plan. Paid time off, parental leave, and flexible work arrangements depending on location. Opportunity to work on cutting-edge geospatial and monitoring technologies with real-world global impact. International exposure through collaboration with global teams and industry events. Professional growth in a highly innovative, engineering-driven environment. Inclusive and collaborative culture focused on ownership, innovation, and continuous learning. ## 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" : "Monitoring Product Marketing Manager. Skills: Product marketing, Go-to-market strategy, Market analysis. Define global product marketing strategy. Lead go-to-market strategy", "postedDate" : "2026-06-15T08:21:14.630", "createdAt" : "2026-06-15T08:21:14.630", "lastUpdated" : "2026-06-16T11:04:02.703", "ingestTimestamp" : "2026-06-16T03:24:35.656", "mongoId" : "6a305119f292fd229cef9d44", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Geospatial technologies", "Product messaging", "Customer value proposition", "Product marketing", "Go-to-market strategy", "Market analysis", "Product strategy", "Product lifecycle management", "Project management", "Construction industry", "Infrastructure industry", "Mining sectors", "Monitoring systems", "Surveying technologies", "Geospatial applications" ], "skillCount" : 15, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "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, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e43cf8b1b0376634c93a", "title" : "Delivery Consultant - Infrastructure and Security", "company" : "Amazon Web Services", "industry" : "Solutions Architect, Professional Services, Cloud Computing", "salary" : { "min" : 30000.0, "max" : 45000.0, "currency" : "BHD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Delivery Consultant in Technology in Manama, Bahrain, adjusted for company size and industry." }, "location" : "Manama, BHR", "locations" : [ "Manama, BHR" ], "certifications" : [ "AWS Certified Solutions Architect" ], "timestamp" : "2026-06-15T06:13:40.699", "fingerprint" : "7bfa07a003d13432331edbf15208b346a8bf6be98ddbc6ec944feeaa488758e3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3071740/apply", "externalId" : "db70976a-9c37-40e1-a748-a2086a34e1ed", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Manama", "country" : "Bahrain", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "26.2235041,50.5822436" } ], "locationText" : "Manama, Bahrain", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AWS, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, Terraform, Python", "professionalSkills" : [ "System design", "Project management", "Risk mitigation" ], "hardSkillsList" : [ "Cloud architecture", "Infrastructure automation", "Application migration", "Technology infrastructure", "Network", "Compute", "Storage", "Virtualization" ], "softSkillsList" : [ "Mentoring", "Training" ], "hardSkills" : [ { "name" : "Cloud architecture", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Application migration", "level" : "intermediate" }, { "name" : "Technology infrastructure", "level" : "intermediate" }, { "name" : "Network", "level" : "intermediate" }, { "name" : "Compute", "level" : "intermediate" }, { "name" : "Storage", "level" : "intermediate" }, { "name" : "Virtualization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Training" } ], "majorSkills" : "AWS Solutions, Infrastructure Design, Security Architecture, Cloud Migration", "majorSkillsList" : [ "AWS Solutions", "Infrastructure Design", "Security Architecture", "Cloud Migration" ], "coreResponsibilities" : "Design and implement AWS solutions, Provide technical guidance, Provide troubleshooting support, Collaborate with stakeholders, Gather requirements, Propose migration strategies, Act as trusted advisor, Share knowledge within organization, Mentor team members, Train team members, Create reusable artifacts", "teamCollaboration" : "Customer teams; AWS Partner Network; Global specialty practices", "projectManagementSkills" : [ "Project lifecycle management", "Risk management" ], "domainKnowledge" : "AWS products; AWS services; Cloud computing; Enterprise cloud adoption; Industry trends; Emerging technologies", "domainList" : [ "aws-products", "aws-services", "cloud-computing", "enterprise-cloud-adoption", "industry-trends", "emerging-technologies" ], "domainSpecificKnowledge" : [ "AWS products", "AWS services", "Cloud computing", "Enterprise cloud adoption", "Industry trends", "Emerging technologies" ], "toolProficiency" : [ "Terraform", "Python" ], "communicationSkills" : "Explain technical concepts", "continuousLearning" : "Ongoing learning experiences", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Meet technical requirements; Meet business objectives; Drive customer success; Achieve specific outcomes", "qualificationsBasic" : "7+ years technical specialist experience, Customer-facing roles experience, Experience driving discussions with senior personnel, Hands-on experience leading design, development, deployment at scale, Hands-on technology infrastructure, network, compute, storage, virtualization experience, Experience with automation, scripting, Experience with application migration and modernization, Communication skills to explain technical concepts", "qualificationsPreferred" : "AWS experience preferred, Proficiency in a wide range of AWS services, Experience in an Architect role, Track record of implementing AWS services, Large scale migration experience, Infrastructure automation through DevOps scripting", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About 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. 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. 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. Basic Qualifications: 7+ years of experience as a technical specialist in Customer-facing roles. Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience. Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization. Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Preferred Qualifications: - Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - Experience in an Architect role or similar with strong track record of implementing AWS services in a variety of distributed computing environments - Large scale migration experience Data Center to Data Center and/or Data Center to Cloud - Infrastructure automation through DevOps scripting (E.g. shell, Python, Ruby, Powershell) 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" : "Delivery Consultant - Infrastructure and Security at Amazon Web Services. Skills: AWS Solutions, Infrastructure Design, Security Architecture, Cloud Migration. Design and implement AWS solutions. Provide technical guidance", "postedDate" : "2026-06-13T19:15:23.138", "createdAt" : "2026-06-13T19:15:23.138", "lastUpdated" : "2026-06-15T06:13:40.699", "ingestTimestamp" : "2026-06-13T19:15:23.138", "mongoId" : "68c2e43cf8b1b0376634c93a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3071740/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "Infrastructure automation", "Application migration", "Technology infrastructure", "Network", "Compute", "Storage", "Virtualization", "Mentoring", "Training", "AWS Solutions", "Infrastructure Design", "Security Architecture", "Cloud Migration", "System design", "Project management", "Risk mitigation", "Project lifecycle management", "Risk management", "AWS products", "AWS services", "Cloud computing", "Enterprise cloud adoption", "Industry trends", "Emerging technologies", "AWS Certified Solutions Architect", "Terraform", "Python" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4982beec4dd3d931b1d", "title" : "Senior Financial Analyst, AWS Search, Security, and Observability", "company" : "Amazon.com Services LLC", "industry" : "Finance Accounting, Finance/Planning, finance", "salary" : { "min" : 82700.0, "max" : 117100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "CPA" ], "timestamp" : "2026-06-15T03:10:42.406", "fingerprint" : "fcf5af309e8de8e86ceaa8f6d7a75c61a350ebc10098f834de1d4f722d787ece", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384223/apply", "externalId" : "318f45f8-a8b8-48ac-98c0-8ba223dab1e7", "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" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, MS Access, Essbase, Cognos, Oracle, SAP, Lawson, JD Edwards", "professionalSkills" : [ "Financial modeling", "Analytical tools", "Revenue creation", "Process improvements", "Reporting" ], "hardSkillsList" : [ "Financial performance", "Data mining", "Business intelligence", "Financial data analysis" ], "softSkillsList" : [ "Business partnership", "Risk management" ], "hardSkills" : [ { "name" : "Financial performance", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Financial data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Business partnership" }, { "name" : "Risk management" } ], "majorSkills" : "Financial modeling, P&L management, Process improvement", "majorSkillsList" : [ "Financial modeling", "P&L management", "Process improvement" ], "coreResponsibilities" : "Lead financial modeling, Build analytical tools, Measure financial performance, Own revenue creation, Influence business decisions, Drive pipeline creation, Drive pipeline realization, Identify efficiency improvements, Automate processes, Coordinate with organizations, Partner with finance teams, Partner with business teams, Partner with sales teams, Standardize improvements, Streamline improvements, Prioritize improvements, Remove roadblocks, Increase reporting reliability, Increase reporting efficiency", "teamCollaboration" : "Cross-functional initiatives; Finance teams; Business teams; Sales teams", "domainKnowledge" : "AWS SSO services", "domainList" : [ "aws-sso-services" ], "domainSpecificKnowledge" : [ "AWS SSO services" ], "toolProficiency" : [ "Tableau", "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Data mining; Business intelligence; Financial data analysis", "qualificationsBasic" : "3+ years tax experience, 3+ years finance experience, 3+ years analytical field experience, Advanced SQL use, Bachelor's degree, 3+ years cross-functional initiatives, 3+ years dissecting financial data", "qualificationsPreferred" : "4+ years continuous improvement projects, MBA or CPA, 4+ years process improvements, 4+ years automation analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Web Services (AWS) is seeking a Senior Financial Analyst to be a key member of the AWS Search, Security, and Observability (SSO) Finance team. This role will own end to end finance support including P&L management and planning for AWS SSO services. Additionally, this role will drive strategic new SSO feature launches and process improvements across the organization. The successful candidate will be able to communicate effectively, manage multiple and time sensitive deliverables across a highly matrixed organization, along with managing risks and opportunities. The individual will also possess strong business partnership skills and collaborate effectively with key stakeholders. Key job responsibilities - Take the lead in financial planning; build complex financial models and analytical tools to measure overall financial performance - Owning the services end to end of revenue creation, and influence business decisions that drive pipeline creation and realization - Identify opportunities for efficiency improvements including automation and coordination with upstream and downstream organizations - Partner with finance, business, and sales teams across AWS to standardize, streamline, and prioritize improvements, remove roadblocks, and increase the reliability and efficiency of reporting. Basic Qualifications: - 3+ years of tax, finance or a related analytical field experience - Experience with advanced use of SQL for data mining and business intelligence - Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science) - 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience - 3+ years of dissecting financial data and identifying patterns that support business strategy experience Preferred Qualifications: - 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience - MBA, or CPA - Knowledge of Tableau - Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - 4+ years of creating process improvements with automation and analysis experience 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 - 82,700.00 - 117,100.00 USD annually", "summaryDescription" : "Senior Financial Analyst, AWS Search, Security, and Observability at Amazon.com Services LLC. Skills: Financial modeling, P&L management, Process improvement. Lead financial modeling. Build analytical tools", "postedDate" : "2026-06-13T05:36:25.591", "createdAt" : "2026-06-13T05:36:25.591", "lastUpdated" : "2026-06-15T03:10:42.406", "ingestTimestamp" : "2026-06-13T05:36:25.591", "mongoId" : "69d5e4982beec4dd3d931b1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384223/apply", "salaryAnnualMin" : 82700, "salaryAnnualMax" : 117100, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial performance", "Data mining", "Business intelligence", "Financial data analysis", "Business partnership", "Risk management", "Financial modeling", "P&L management", "Process improvement", "Analytical tools", "Revenue creation", "Process improvements", "Reporting", "AWS SSO services", "CPA", "Tableau", "SQL", "MS Access", "Essbase", "Cognos", "Oracle", "SAP", "Lawson", "JD Edwards" ], "skillCount" : 24, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5f3f74d8ee00a08ea545", "title" : "Observability Platform Engineer", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Observability Platform Engineer in the UK Technology industry, adjusted for London's high cost of living." }, "location" : "UK", "locations" : [ "UK" ], "timestamp" : "2026-06-14T23:55:12.488", "fingerprint" : "f47f5759818468ae9ad6bc7cea5a412348570f01063d7384d78585fe6b673f7c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4896731101", "externalId" : "4896731101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "technicalSkills" : "Prometheus, Grafana, Datadog, ELK, Opensearch, Splunk, OpenTelemetry, Jaeger, Kubernetes, Containers, Service meshes, Python, Go, Bash, Terraform, Ansible, Pulumi", "professionalSkills" : [ "System design", "Performance tuning", "Incident management", "Telemetry analytics" ], "hardSkillsList" : [ "Observability platforms", "Monitoring", "Logging", "Tracing", "Alerting", "Infrastructure-as-Code", "CI/CD pipelines", "Telemetry instrumentation", "Performance diagnosis" ], "softSkillsList" : [ "Ownership", "Accountability", "Openness", "Transparency" ], "hardSkills" : [ { "name" : "Observability platforms", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Logging", "level" : "intermediate" }, { "name" : "Tracing", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Telemetry instrumentation", "level" : "intermediate" }, { "name" : "Performance diagnosis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Accountability" }, { "name" : "Openness" }, { "name" : "Transparency" } ], "majorSkills" : "Observability platforms, Monitoring, Logging, Tracing", "majorSkillsList" : [ "Observability platforms", "Monitoring", "Logging", "Tracing" ], "coreResponsibilities" : "Design observability platforms, Build observability platforms, Maintain observability platforms, Deploy observability tools, Manage observability tools, Automate observability infrastructure, Instrument applications for telemetry, Instrument systems for telemetry, Develop dashboards, Develop alerts, Develop analytics, Ensure data accuracy, Ensure data reliability, Ensure data retention, Troubleshoot platform issues, Drive adoption of best practices, Contribute to incident detection, Contribute to incident response, Contribute to incident resolution, Document observability standards, Document observability tools, Document observability processes", "teamCollaboration" : "Work with SRE teams; Work with Infrastructure teams; Work with Engineering teams; Partner with engineering teams; Partner with SRE teams; Work with product teams", "projectManagementSkills" : [ "CI/CD practices" ], "domainKnowledge" : "AI datacenter infrastructure; GPU cloud infrastructure; Distributed systems reliability; Cloud-native infrastructure; AIOps; Hyperscale datacenter environments; Sustainability monitoring", "domainList" : [ "ai-datacenter-infrastructure", "gpu-cloud-infrastructure", "distributed-systems-reliability", "cloud-native-infrastructure", "aiops", "hyperscale-datacenter-environments", "sustainability-monitoring" ], "domainSpecificKnowledge" : [ "AI datacenter infrastructure", "GPU cloud infrastructure", "Distributed systems reliability", "Cloud-native infrastructure", "AIOps", "Hyperscale datacenter environments", "Sustainability monitoring" ], "toolProficiency" : [ "Prometheus", "Grafana", "Datadog", "ELK", "Opensearch", "Splunk", "OpenTelemetry", "Jaeger", "Terraform", "Ansible", "Pulumi" ], "documentationSkills" : "Document observability standards; Document observability tools; Document observability processes", "innovationCreativity" : "Relentless innovation", "problemSolvingSkills" : "Problem-solving; Diagnose performance issues", "qualificationsBasic" : "Experience in designing observability platforms, Experience operating observability platforms at scale, Hands-on expertise with monitoring tools, Hands-on expertise with logging tools, Hands-on expertise with tracing tools, Experience with cloud-native infrastructure, Proficiency in scripting/automation, Knowledge of Infrastructure-as-Code, Knowledge of CI/CD practices, Understanding of distributed systems reliability, Understanding of incident management, Excellent problem-solving skills, Ability to diagnose performance issues", "qualificationsPreferred" : "Experience with AI/ML workload observability, Familiarity with hyperscale datacenter environments, Knowledge of AIOps, Knowledge of advanced telemetry analytics, Exposure to sustainability monitoring", "rawDescription" : "About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About The Role Nscale is seeking an Observability Platform Engineer to design, deploy, and operate the monitoring, logging, and tracing systems that power observability across our global AI datacenter infrastructure. You will focus on scalability, automation, and integration of observability platforms, ensuring that metrics, logs, and traces are accurate, accessible, and actionable. You’ll work closely with SRE, Infrastructure, and Engineering teams to ensure our GPU-powered cloud is fully instrumented for reliability and performance. What You'll Be Doing Design, build, and maintain observability platforms (monitoring, logging, tracing, alerting) at global scale. Deploy and manage tools such as Prometheus, Grafana, Datadog, ELK/Opensearch, OpenTelemetry, and Jaeger. Automate observability infrastructure using Infrastructure-as-Code and CI/CD pipelines. Partner with engineering and SRE teams to instrument applications and systems for telemetry. Develop dashboards, alerts, and analytics to provide real-time visibility into infrastructure health. Ensure observability data is accurate, reliable, and retained per compliance requirements. Troubleshoot observability platform issues, ensuring high availability and performance. Drive adoption of best practices for monitoring, logging, and tracing across the company. Contribute to continuous improvement of incident detection, response, and resolution. Document observability standards, tools, and processes. About You (Skills / Qualifications) Strong experience in designing and operating observability platforms at scale. Hands-on expertise with monitoring, logging, and tracing tools (Prometheus, Grafana, Datadog, ELK/Opensearch, Splunk, OpenTelemetry, Jaeger). Experience with cloud-native infrastructure (Kubernetes, containers, service meshes). Proficiency in scripting/automation (e.g., Python, Go, Bash). Knowledge of Infrastructure-as-Code (Terraform, Ansible, Pulumi) and CI/CD practices. Strong understanding of distributed systems reliability and incident management. Excellent problem-solving skills with the ability to diagnose performance issues across systems. Good collaboration skills to work with engineering, operations, and product teams. Nice to have: Experience with AI/ML workload observability. Familiarity with hyperscale datacenter environments. Knowledge of AIOps and advanced telemetry analytics. Exposure to sustainability monitoring (e.g., power usage effectiveness, efficiency metrics). Equal Opportunities Statement At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Observability Platform Engineer at Nscale. Skills: Observability platforms, Monitoring, Logging, Tracing. Design observability platforms. Build observability platforms", "postedDate" : "2026-06-12T22:13:51.237", "createdAt" : "2026-06-12T22:13:51.237", "lastUpdated" : "2026-06-14T23:55:12.488", "ingestTimestamp" : "2026-06-12T22:13:51.237", "mongoId" : "6a2c5f3f74d8ee00a08ea545", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Observability platforms", "Monitoring", "Logging", "Tracing", "Alerting", "Infrastructure-as-Code", "CI/CD pipelines", "Telemetry instrumentation", "Performance diagnosis", "Ownership", "Accountability", "Openness", "Transparency", "System design", "Performance tuning", "Incident management", "Telemetry analytics", "CI/CD practices", "AI datacenter infrastructure", "GPU cloud infrastructure", "Distributed systems reliability", "Cloud-native infrastructure", "AIOps", "Hyperscale datacenter environments", "Sustainability monitoring", "Prometheus", "Grafana", "Datadog", "ELK", "Opensearch", "Splunk", "OpenTelemetry", "Jaeger", "Terraform", "Ansible", "Pulumi" ], "skillCount" : 36, "jobCategory" : "operations", "jobSubcategory" : "ai-infrastructure-operations", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" } ], "status" : 200, "message" : "observability monitoring and debugging tooling for crawl infrastructure jobs", "metadata" : { "title" : "observability monitoring and debugging tooling for crawl infrastructure" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 27152, "totalPages" : 544, "hasNext" : true, "hasPrevious" : false } }

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