{ "count" : 85057, "data" : [ { "id" : "6a2c7c2274d8ee00a094c660", "title" : "Quantitative Equity Technology, Infrastructure Software Engineer", "company" : "Connor, Clark & Lunn Investment Management", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T02:01:48.829", "fingerprint" : "822764ec685d5e01e0c738512d22c7cdf06048bdc43d7322cdae24d9c7c6acaf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223826009", "externalId" : "4223826009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "We deliver foundational systems that shape the future of how technology is used in a top performing quantitative equity fund that manages over $75 billion in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our technology team is crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data storage, containerization, non-traditional high-performance databases, process orchestration, monitoring, data visualization and DevOps. You own the entire technology infrastructure life cycle: Engineer and support software and systems infrastructure. Introduce new foundational technologies that advance our software engineering capabilities to the next level. Collaborate with our software development teams on support issues and improvements to our infrastructure tools, processes, and software. Act as a conduit between our application development teams, and IT, network security, and other stakeholders to align priorities and translate business requirements into technical designs. Improve systems infrastructure reliability. Gather and analyze metrics from operating systems and applications to assist in performance tuning, fault finding and business continuity planning. Design, plan and implement solutions in an entrepreneurial spirit. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. We use several programming languages (Kdb+/Q, Python, Java, C#, Angular/Typescript). Passion for Technology – we work on low-level foundational systems and software. Knowledge about cloud computing (AWS), systems engineering, distributed systems, scripting, operating systems (specifically Windows and Linux), databases, and host-based networking, is useful in this role. Upfront knowledge is preferred but not required; if you are passionate about technology, learning new concepts is natural and fun. Collaborative Communication – we work together with many different teams and stakeholders. You have a collaborative spirit that helps you to work well with others and communicate effectively. Project Ownership Mindset – we own different technology stacks and are often responsible for exploring new technology to modernize existing systems. Our team needs to take initiative and proactively drive the execution of systems projects that we own. You enjoy taking on responsibility and owning decisions made. Organizational skills are helpful to ensure projects are well managed. Troubleshooting and Problem Resolution - you think laterally to dissect a problem into its component parts and diagnose root causes. You use different troubleshooting techniques to identify problems across different technologies. Growth Mindset – technology and investment requirements are constantly changing. You are a lifelong learner who continually invests in personal development. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcripts. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Technology, Infrastructure Software Engineer at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:29:57.826", "createdAt" : "2026-06-14T21:29:57.826", "lastUpdated" : "2026-06-16T02:01:48.829", "ingestTimestamp" : "2026-06-14T21:29:57.826", "mongoId" : "6a2c7c2274d8ee00a094c660", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1934.5856, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65c", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-16T05:04:26.818", "fingerprint" : "e82eebd1482170b061ef2a188b30356b72d4c7ed4e57d20f5bfef9a25d207f62", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223791009", "externalId" : "4223791009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management", "postedDate" : "2026-06-14T21:47:45.754", "createdAt" : "2026-06-14T21:47:45.754", "lastUpdated" : "2026-06-16T05:04:26.818", "ingestTimestamp" : "2026-06-14T21:47:45.754", "mongoId" : "6a2c7c2274d8ee00a094c65c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1025.3368, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c65d", "title" : "Quantitative Equity Analyst", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA" ], "timestamp" : "2026-06-15T07:14:36.772", "fingerprint" : "23f99dcaeae28cdf3eadb256f67fc80e83c18ce04f3c1a1bcf06a56004856462", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4223780009", "externalId" : "4223780009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, Scala, Spark, SQL, 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" : [ "Process engineering", "Data analysis", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Analytical Mindset", "Collaborative Approach", "Time Management" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical validation", "level" : "intermediate" }, { "name" : "Process management systems", "level" : "intermediate" }, { "name" : "Algorithmic construction", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Time series analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical Mindset" }, { "name" : "Collaborative Approach" }, { "name" : "Time Management" } ], "majorSkills" : "Quantitative finance, Data science, Process engineering, Machine learning", "majorSkillsList" : [ "Quantitative finance", "Data science", "Process engineering", "Machine learning" ], "coreResponsibilities" : "Design production processes, Implement production processes, Test production processes, Design process orchestration, Monitor production health, Respond to critical issues, Communicate production issues, Identify computational bottlenecks, Improve run speeds, Collaborate with investment teams, Meet process needs, Evaluate process improvements, Assess data quality, Maintain process repos, Clean code, Construct algorithms, Run algorithms, Validate data sets, Design data loaders, Test data loaders, Perform data analysis, Provide data expertise, Facilitate ML pipelines, Audit ML pipelines, Analyze ML pipelines, Enable accessibility, Clarify data assets, Scrub data, Develop methodologies, Assess data, Analyze data, Respond to vendor data issues, Mitigate vendor data issues, Integrate data, Present findings, Present recommendations", "teamCollaboration" : "Cross-functional teams; 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Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Mentorship programme; Career development plans", "innovationCreativity" : "Operational innovation; R&D projects; Hackathons; Prototype development; Design thinking", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Accurate trade generation; Timely trade generation", "qualificationsBasic" : "Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline, SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Completion of CFA, Relevant graduate degree, PhD preferred, Specific ML framework experience, Cloud platform certs", "workSiteFlexibility" : "Flexible", "rawDescription" : "We are looking for a Quantitative Equity Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quant fund that manages over $75 billion in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging finance skills and cutting-edge technology, we ensure data quality, continuous process improvement, and operational excellence. As a core member of our team, you'll collaborate with investment experts to tackle challenging analytical problems, be accountable to ensure accurate and timely trade generation, and drive operational innovation. Based in West Coast Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment engine and overall success. What You Will Do This is an exciting full-time role for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data science and process engineering skillsets to accelerate the Quantitative Equities Team’s various investment functions. Your specialized role may involve building, scaling, managing and/or analyzing our quantitative model, portfolios, data assets and optimizers. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Investment Process Management The team you will be joining is our Investment Process Management (IPM) group within our Quantitative Equities Team. IPM plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to develop systematic investment insights and generate daily trades to capture these insights in portfolios. The opportunity within the IPM group allows ambitious individuals to drive their career growth within IPM, or across the other functions of the Quantitative Equities Team in Research, Portfolio Construction, or Trading. While we take the approach of tailoring the career path for the individual, we have found our functions to cover two main overarching technical skillsets: Process and Reliability Engineering Design, implement and test production processes to run the alpha and risk, portfolio optimization and market implementation processes. Design robust, high performance and effective process orchestration. Monitor production health and respond to critical issues in a timely manner. Effectively communicate real-time production issues to portfolio managers, traders and researchers. Identify computational bottle necks and improve run speeds in production systems. Collaborate with investment teams to ensure their process needs are being met. Find and evaluate areas for process improvements. Assess and evaluate data quality of production processes. Maintain process repos, clean code and tools within production processes. Data Science Construct and run algorithms to explore and assess data effectively. Validate structured and unstructured data sets for data quality. Design and test data loaders and security matching processes and specifications. Perform data analysis and provide data expertise to support researcher’s projects. Facilitate production machine learning operational pipelines with effective and timely auditing and analysis. Enable accessibility and clarity within our data assets through robust documentation and data scrubbing. Develop robust methodologies for assessing and analyzing data in time critical production environments. Respond to and mitigate vendor data issues effectively in a production setting. Collaborate with cross-functional teams to integrate traditional and alternative data into existing analytical frameworks and decision-making processes. Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner. What You Bring Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation. Financial Knowledge – You possess a thorough understanding of (or strong desire to learn) key drivers of business success, including financial theory, economic models, and corporate financial statements. Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work. Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts. Time Management – You have the ability to manage and prioritize multiple ongoing projects and daily responsibilities. Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of CFA or relevant graduate degree is considered an asset. Industry Experience – You have a passion for quantitative finance, equity investment, data science or related fields. Reasons to Grow Your Career with Us Impact – We help create opportunities for you to leverage your personal strengths to make a positive impact on our business. Culture – Collaboration and innovation are deeply rooted in our culture. We enjoy working together and align our passions in pursuit of a shared objective in every project we undertake. Development – We create conditions for success tailored to each employee through internally developed career development plans. Mentorship – We believe that developing great people is the key to great success. You will have opportunities to share, hear and learn about career experiences from peers and senior team members. Work-Life Balance – Vancouver is surrounded by water, mountains, and cherry blossoms. We work hard in our professional lives but also create space to enjoy our personal lives. We welcome applications from candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range for full-time roles is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter, and academic transcript. #LI-HYBRID #LI-RC1 CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Quantitative Equity Analyst at Connor, Clark & Lunn Investment Management. Skills: Quantitative finance, Data science, Process engineering, Machine learning. Design production processes. Implement production processes", "postedDate" : "2026-06-13T22:20:19.828", "createdAt" : "2026-06-13T22:20:19.828", "lastUpdated" : "2026-06-15T07:14:36.772", "ingestTimestamp" : "2026-06-13T22:20:19.828", "mongoId" : "6a2c7c2274d8ee00a094c65d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical validation", "Process management systems", "Algorithmic construction", "Data validation", "Data analysis", "Time series analysis", "Regression", "Classification", "Clustering", "A/B testing", "Causal inference", "Analytical Mindset", "Collaborative Approach", "Time Management", "Quantitative finance", "Data science", "Process engineering", "Machine learning", "Data expertise", "Data quality assessment", "Data scrubbing", "Data integration", "Financial theory", "Economic models", "Corporate financial statements", "Agile", "Scrum", "JIRA", "Roadmap planning", "Kanban", "PMP", "Quantitative equity investment management", "Investment engine", "Alpha", "Risk", "Portfolio optimization", "Market implementation", "Quantitative model", "Portfolios", "Data assets", "Optimizers", "Systematic investment insights", "Vendor data", "CFA", "Dbt Cloud" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 933.3226, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30507bf292fd229cef0b60", "title" : "Software Engineer, Infrastructure", "company" : "Aaru", "industry" : "Technical Staff", "salary" : { "min" : 200000.0, "max" : 440000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "NYC", "locations" : [ "NYC" ], "timestamp" : "2026-06-16T11:55:53.631", "fingerprint" : "45dd830d27861e9978321f8b0901eb5d3cd56f66705a11e1b34a19f7349f39b9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aaru/37355842-4a2f-4633-bbd8-1ebb7afc974c/application", "externalId" : "37355842-4a2f-4633-bbd8-1ebb7afc974c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Compute, Networking, Storage, Cloud primitives, HTTP, TLS, TCP", "professionalSkills" : [ "System design", "Performance debugging", "Reliability engineering" ], "hardSkillsList" : [ "Large-scale simulations", "Data ingestion", "Computation pipelines", "Distributed systems" ], "hardSkills" : [ { "name" : "Large-scale simulations", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Computation pipelines", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "majorSkills" : "Infrastructure engineering, Distributed systems, Cloud computing", "majorSkillsList" : [ "Infrastructure engineering", "Distributed systems", "Cloud computing" ], "coreResponsibilities" : "Design and build low-latency, high-throughput infrastructure, Improve reliability and performance of data ingestion and, Identify system bottlenecks across compute, networking, storage, and, Build tools and abstractions that help engineering and, Productionize experimental research workflows into reliable, repeatable infrastructure, Own infrastructure decisions from architecture through implementation and", "teamCollaboration" : "Fast-growing engineering teams; Engineering and research teams", "domainKnowledge" : "Predictive intelligence; AI; Human behavior simulation; Agent-based modeling; Distributed systems; Cloud infrastructure; Machine learning workloads", "domainList" : [ "predictive-intelligence", "ai", "human-behavior-simulation", "agent-based-modeling", "distributed-systems", "cloud-infrastructure", "machine-learning-workloads" ], "domainSpecificKnowledge" : [ "Predictive intelligence", "AI", "Human behavior simulation", "Agent-based modeling", "Distributed systems", "Cloud infrastructure", "Machine learning workloads" ], "innovationCreativity" : "Build systems that enable simulations to run faster, more reliably, and at greater scale; Remove bottlenecks from Aaru's core engineering and research workflows; Build tools and abstractions that help engineering and research teams move faster; Productionize experimental research workflows into reliable, repeatable infrastructure", "problemSolvingSkills" : "Identify system bottlenecks; Debug performance and reliability issues", "qualificationsBasic" : "Built infrastructure, frameworks, or internal platforms, Deep experience debugging performance and reliability issues, Comfortable working close to networking, storage, compute, and cloud primitives, Helped transition research or experimental systems into production, Care about developer experience, Comfortable with strongly typed languages or languages with algebraic type systems", "qualificationsPreferred" : "Experience with long-running computational pipelines, Knowledge of networking protocols such as HTTP, TLS, TCP, or related systems, Experience designing infrastructure for high-scale data or machine learning workloads, Track record of finding and eliminating bottlenecks in complex systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT AARU Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time. We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust, and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As an infrastructure engineer at Aaru, you will build the systems that enable our simulations to run faster, more reliably, and at greater scale. You will work across compute, networking, data pipelines, and developer tooling to remove bottlenecks from Aaru's core engineering and research workflows. RESPONSIBILITIES - Design and build low-latency, high-throughput infrastructure for large-scale simulations - Improve the reliability and performance of data ingestion and computation pipelines - Identify system bottlenecks across compute, networking, storage, and orchestration - Build tools and abstractions that help engineering and research teams move faster - Productionize experimental research workflows into reliable, repeatable infrastructure - Own infrastructure decisions from architecture through implementation and operation YOU MAY BE A FIT IF - You have built infrastructure, frameworks, or internal platforms for fast-growing engineering teams - You have deep experience debugging performance and reliability issues in distributed systems - You are comfortable working close to networking, storage, compute, and cloud primitives - You have helped transition research or experimental systems into production - You care about developer experience and build systems that other engineers want to use - You are comfortable with strongly typed languages or languages with algebraic type systems STRONG CANDIDATES MAY ALSO HAVE - Experience with long-running computational pipelines - Strong knowledge of networking protocols such as HTTP, TLS, TCP, or related systems - Experience designing infrastructure for high-scale data or machine learning workloads - A track record of finding and eliminating bottlenecks in complex systems LOCATION This role is based in New York City. Aaru is an in-person company, and the team works in-office five days a week. Candidates are expected to be located within the New York City metropolitan area or open to relocation. BENEFITS At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.", "summaryDescription" : "Software Engineer, Infrastructure at Aaru. Skills: Infrastructure engineering, Distributed systems, Cloud computing. Design and build low-latency, high-throughput infrastructure. Improve reliability and performance of data ingestion and", "createdAt" : "2026-06-16T00:30:46.021", "lastUpdated" : "2026-06-16T11:55:53.631", "ingestTimestamp" : "2026-06-16T00:30:46.021", "mongoId" : "6a30507bf292fd229cef0b60", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 440000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Large-scale simulations", "Data ingestion", "Computation pipelines", "Distributed systems", "Infrastructure engineering", "Cloud computing", "System design", "Performance debugging", "Reliability engineering", "Predictive intelligence", "AI", "Human behavior simulation", "Agent-based modeling", "Cloud infrastructure", "Machine learning workloads" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 878.8867, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306fd5f292fd229cfed7f4", "title" : "Software Engineer, Core Infrastructure", "company" : "Stripe", "industry" : "FinTech", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Sydney, Australia, adjusted for the FinTech industry and a large company size." }, "location" : "Sydney, New South Wales, Australia", "locations" : [ "Sydney", "New South Wales", "Australia" ], "timestamp" : "2026-06-16T13:45:12.405", "fingerprint" : "c7681816b1e41eab6b79768fedfb8371ea5e4a744e42a74d25eb11fb210860d5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://stripe.com/jobs/search?gh_jid=7975725", "externalId" : "7975725", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Cloud infrastructure, Platform services, Distributed systems, Operating system primitives, AWS, Azure, GCP, Oracle Cloud, Go, Rust, C/C++, Linux OS, Kubernetes, Container orchestration, Mesh networking, Service discovery", "professionalSkills" : [ "System design", "Roadmap planning", "Prioritization" ], "hardSkillsList" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Operating system primitives", "level" : "intermediate" }, { "name" : "Observability practices", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Kernel-level troubleshooting", "level" : "intermediate" }, { "name" : "Container mechanics", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, Cloud infrastructure, Platform services, Observability", "majorSkillsList" : [ "Distributed systems", "Cloud infrastructure", "Platform services", "Observability" ], "coreResponsibilities" : "Design distributed cloud infrastructure, Build distributed cloud infrastructure, Maintain distributed cloud infrastructure, Build platform services, Maintain platform services, Scale infrastructure services, Automate infrastructure services, Ensure reliability of infrastructure services, Improve observability of infrastructure services, Operate services, Debug issues, Support customers, Participate in roadmap planning, Participate in prioritization", "teamCollaboration" : "Collaboration with product teams; Collaboration with various teams; Collaboration with external partners; Collaboration with open source community", "projectManagementSkills" : [ "Roadmap planning", "Prioritization" ], "domainKnowledge" : "Financial infrastructure; Distributed systems; Cloud infrastructure; Operating system primitives; Container orchestration; Mesh networking; Service discovery", "domainList" : [ "financial-infrastructure", "distributed-systems", "cloud-infrastructure", "operating-system-primitives", "container-orchestration", "mesh-networking", "service-discovery" ], "domainSpecificKnowledge" : [ "Financial infrastructure", "Distributed systems", "Cloud infrastructure", "Operating system primitives", "Container orchestration", "Mesh networking", "Service discovery" ], "toolProficiency" : [ "Kubernetes" ], "problemSolvingSkills" : "Debugging distributed systems; Diagnosing low-level resource constraints; Troubleshooting", "qualificationsBasic" : "3+ years of professional experience, Experience building, deploying, and managing infrastructure on a major cloud provider, Engineering background in building platform services and/or distributed systems at scale, Solid grasp of underlying operating system primitives, Experience developing, maintaining, and debugging distributed systems, Diagnosing low-level resource constraints, Experience with operational excellence, Modern observability practices", "qualificationsPreferred" : "Experience with popular cloud technologies, Experience with Go or other systems languages, Experience with Linux OS internals, Performance optimization experience, Kernel-level troubleshooting experience, Experience working with Kubernetes clusters, Low-level container mechanics experience, Experience in networking and traffic systems at scale, Experience handling critical incidents for production systems", "remoteFriendly" : false, "rawDescription" : "Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Core Infrastructure team at Stripe is entrusted with developing and maintaining the infrastructure utilized by all product teams to create services that underpin all Stripe business operations. This includes defining and executing a vision that ensures industry-leading scale and availability, and actively balancing these concerns with efficiency, latency, and organizational health. We are committed to advancing new distributed services and scaling existing technologies across the industry, in close collaboration with various teams to support their current and future demands, and various external partners in the open source community. Our infrastructure supports businesses worldwide by processing payments, managing marketplaces, assisting entrepreneurs in launching internet businesses, and more. The Infrastructure organization comprises teams responsible for operating system components, databases, caching, high availability, disaster recovery, cloud infrastructure, Linux servers, container orchestration, mesh networking, service discovery, change management, and network edge infrastructure. What you'll do As a Software Engineer on the Infrastructure team, you will be part of a team that is in charge of building the core infrastructure used by product teams which support our business. Examples include control plane services responsible for managing our primary database and cache infrastructure as well as building automation around managing cloud components for compute, cache, and networking. You will also build a great customer experience for internal Stripe teams that build on your software to power all of our products, globally and at scale. Responsibilities Design, build, and maintain distributed cloud infrastructure and platform services Work on scaling, automation, reliability, and observability of infrastructure services Operate your service, debug issues, and support customers Participate in roadmap planning and prioritization Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 3+ years of professional experience in a software development role Experience building, deploying, and managing infrastructure on a major cloud provider A strong engineering background in building platform services and/or distributed systems at scale, with a solid grasp of underlying operating system primitives Experience developing, maintaining, and debugging distributed systems, including diagnosing low-level resource constraints Experience with operational excellence and modern observability practices, including distributed tracing, structured logging, and system-level metrics Preferred Qualifications Experience with popular cloud technologies — AWS, Azure, GCP, or Oracle Cloud Experience with Go or other systems languages (e.g., Rust, C/C++) Experience with Linux OS internals, performance optimization, and kernel-level troubleshooting Experience working with Kubernetes clusters and low-level container mechanics Experience in networking and traffic systems at scale Experience handling critical incidents for production systems", "summaryDescription" : "Software Engineer, Core Infrastructure at Stripe. Skills: Distributed systems, Cloud infrastructure, Platform services, Observability. Design distributed cloud infrastructure. Build distributed cloud infrastructure", "postedDate" : "2026-06-16T01:16:18.903", "createdAt" : "2026-06-16T01:16:18.903", "lastUpdated" : "2026-06-16T13:45:12.405", "ingestTimestamp" : "2026-06-16T01:16:18.903", "mongoId" : "6a306fd5f292fd229cfed7f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Operating system primitives", "Observability practices", "Performance optimization", "Kernel-level troubleshooting", "Container mechanics", "Cloud infrastructure", "Platform services", "Observability", "System design", "Roadmap planning", "Prioritization", "Financial infrastructure", "Container orchestration", "Mesh networking", "Service discovery", "Kubernetes" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 835.36346, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30704af292fd229cff2ff1", "title" : "Senior Software Engineer - Data Infrastructure", "company" : "Qube Research & Technologies", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in London, adjusted for the FinTech industry and a large company size." }, "location" : "London, Greater London, England, United Kingdom", "locations" : [ "London", "Greater London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T14:04:09.211", "fingerprint" : "0445b5ba60a3ba8bdfec425a3b2c4316bfa15d1778ca88e89805f8a69784b39b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8591819002", "externalId" : "8591819002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "Greater London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5156177,-0.0919983" } ], "locationText" : "London, Greater London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work on the infrastructure that powers data ingestion, processing and distribution across the firm. Data is central to QRT’s research and trading activities, and the scale and complexity of our platform continues to grow. The role involves solving distributed systems challenges across real time messaging, large scale data processing, distributed storage and high performance backend services. Your future role within QRT Design and deliver production infrastructure that supports large scale data ingestion, processing and distribution Contribute to the architecture and evolution of core data platform components Lead technical design discussions and influence engineering decisions across the platform Maintain high engineering standards through code reviews, design reviews and technical guidance Mentor engineers and contribute to a collaborative engineering culture Work with stakeholders and engineering teams to translate business and technical requirements into scalable infrastructure solutions Develop systems that support real time messaging, distributed storage, data processing and large scale analytics workloads Your present skillset 7 or more years of professional software engineering experience in distributed systems or high performance backend engineering Experience designing, building and operating large scale production systems Strong proficiency in Rust, C++, Java or another server side programming language Experience developing high performance services, including multithreading, asynchronous processing, caching and performance optimisation Understanding of large scale data platforms and the trade offs involved in distributed databases, data lakes, messaging systems and related technologies Strong communication skills and the ability to work effectively across teams and disciplines Experience mentoring engineers and contributing to technical leadership is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.", "summaryDescription" : "Senior Software Engineer - Data Infrastructure at Qube Research & Technologies", "postedDate" : "2026-06-16T01:19:14.641", "createdAt" : "2026-06-16T01:19:14.641", "lastUpdated" : "2026-06-16T14:04:09.211", "ingestTimestamp" : "2026-06-16T01:19:14.641", "mongoId" : "6a30704af292fd229cff2ff1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 831.1207, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3065baf292fd229cfaadca", "title" : "Constellation Software Engineer, Infrastructure", "company" : "WindBorne Systems", "industry" : "Atlas Engineering", "salary" : { "min" : 130000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "RWC HQ", "locations" : [ "RWC HQ" ], "timestamp" : "2026-06-16T11:26:34.323", "fingerprint" : "46b70a6cf7d4c25663038353b86a3742c674aba02215f8aa7d66650eb9e7e125", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/windborne-systems/1bd96c4d-86e4-45cb-b9d1-f910a356fbef/application", "externalId" : "1bd96c4d-86e4-45cb-b9d1-f910a356fbef", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood Shores", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5318804,-122.2480219" } ], "locationText" : "Redwood Shores, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Ruby on Rails, Postgres", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Data pipeline integrity", "Flight operations", "Automations" ], "hardSkills" : [ { "name" : "Data pipeline integrity", "level" : "intermediate" }, { "name" : "Flight operations", "level" : "intermediate" }, { "name" : "Automations", "level" : "intermediate" } ], "majorSkills" : "Infrastructure software, Data processing, 24/7 uptime systems", "majorSkillsList" : [ "Infrastructure software", "Data processing", "24/7 uptime systems" ], "coreResponsibilities" : "Build robust infrastructure, Build robust applications, Handle business-critical needs, Scale up Atlas around the globe, Keep constellation in the air, Own core infrastructure, Own data pipeline integrity, Ensure pipeline is reliable, Ensure pipeline is tamper-evident, Ensure pipeline is correctly permissioned, Architect core infrastructure, Support projects requiring clearance", "teamCollaboration" : "Hardware teams; Operations teams; Flight control teams", "domainKnowledge" : "Weather forecasts; Atmospheric data; Low-latency software systems", "domainList" : [ "weather-forecasts", "atmospheric-data", "low-latency-software-systems" ], "domainSpecificKnowledge" : [ "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "On-call, Work on U. S. government contracts, Work on export-controlled systems", "qualificationsBasic" : "Built and shipped full-stack applications, Responsible for 24/7 uptime systems, Handle on-call, Structure database and service infrastructure, Push low-latency software systems to full limit, Work in-person in Redwood Shores, CA, Eligibility for a U. S. security clearance, Be a U. S. citizen", "qualificationsPreferred" : "Fluency and comfort working with Ruby on Rails, Ability to quickly and pragmatically learn on the job, Implement pragmatic best practices forged from real-world, experienced pain, Clear understanding of constraints down to the metal", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufacture, and operate our own balloons, using the data they collect to generate otherwise unattainable weather intelligence. We're hiring a Constellation Infrastructure Software Engineer to scale and build up the mission critical systems that drive our planetary nervous system. You will be responsible for building up robust infrastructure and applications that can handle business-critical needs around flight operations and automations, data processing, and other operational demands to scale up Atlas around the globe. We are a small team handling all the software that keeps our entire constellation in the air. Development speed and robustness/security/stability are not mutually exclusive; we value pragmatic decisions, high autonomy, low egos, and a willingness to get your hands muddy in the dirt. This is a 24/7 uptime system and the heartbeat of the company. You will have immediate ownership and the opportunity to proactively drive software solutions with our hardware, operations, and flight control teams. What you'd own: - Core infrastructure around manufacturing, launch, flight, internal tools, and data processing. - Data pipeline integrity — Balloon observations flow from satellite downlinks through processing workers into customer-facing APIs. Ensuring this pipeline is reliable, tamper-evident, and correctly permissioned is as important as making it fast. - Architecting core infrastructure to support projects requiring clearance. You'd be a good fit if you: - Have built and shipped full-stack applications — fluency and comfort working with Ruby on Rails, Postgres, or ability to quickly and pragmatically learn on the job. - You’ve been responsible for 24/7 uptime systems. You can implement pragmatic best practices forged from real-world, experienced pain of handling such a system. You have the responsibility to handle on-call paired with the lazy engineer’s desire to clean up systems to minimize getting called as much as possible - Clear understanding of constraints down to the metal and ability. Ability to structure database and service infrastructure to push low-latency software systems to full limit. - Want to work in-person in Redwood Shores, CA with a small team where your decisions have immediate, visible impact Note: Parts of this role may involve work on U.S. government contracts or export-controlled systems. This can require eligibility for a U.S. security clearance or to be a U.S. citizen. BENEFITS - 401(k) - Health, Dental, and Vision insurance 100% covered - Unlimited PTO - Incentive Stock Option Plan - Office food and beverages (minimum 2x catered lunches & dinners a week) SALARY $130k-$180k** We are considering a range of backgrounds and experience levels for this position and adjust our offers accordingly to be competitive with market rates. LOCATION 1600 Bridge Parkway, Redwood Shores, CA. In person required.", "summaryDescription" : "Constellation Software Engineer, Infrastructure at WindBorne Systems. Skills: Infrastructure software, Data processing, 24/7 uptime systems. Build robust infrastructure. Build robust applications", "createdAt" : "2026-06-16T00:24:38.921", "lastUpdated" : "2026-06-16T11:26:34.323", "ingestTimestamp" : "2026-06-16T00:24:38.921", "mongoId" : "6a3065baf292fd229cfaadca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 180000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline integrity", "Flight operations", "Automations", "Infrastructure software", "Data processing", "24/7 uptime systems", "System design", "Weather forecasts", "Atmospheric data", "Low-latency software systems" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 810.16785, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7c2274d8ee00a094c659", "title" : "Product Analyst, Quantitative Equities", "company" : "Connor, Clark & Lunn Investment Management", "industry" : "FinTech", "salary" : { "min" : 125000.0, "max" : 200000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, Canada", "locations" : [ "Vancouver", "British Columbia", "Canada" ], "certifications" : [ "CFA", "FRM" ], "timestamp" : "2026-06-16T04:05:21.995", "fingerprint" : "0a6e22741b0c6ac623428d3a10d3a5b720daf7eb93b00fbb01b97437031da4c5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cclim/jobs/4274259009", "externalId" : "4274259009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Quantitative analysis, Financial modeling, Data analysis", "majorSkillsList" : [ "Quantitative analysis", "Financial modeling", "Data analysis" ], "coreResponsibilities" : "Develop and maintain quantitative models, Perform data analysis, Generate reports, Support trading strategies, Conduct market research, Collaborate with portfolio managers, Assist with risk management", "teamCollaboration" : "Portfolio managers; Traders; Risk management team", "domainKnowledge" : "Equities; Fixed income; Derivatives; Risk management; Quantitative finance", "domainList" : [ "equities", "fixed-income", "derivatives", "risk-management", "quantitative-finance" ], "domainSpecificKnowledge" : [ "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report generation; Presentation skills", "documentationSkills" : "Model documentation", "problemSolvingSkills" : "Quantitative analysis; Data analysis", "outcomesObjectives" : "Enhance investment strategies; Improve risk-adjusted returns; Provide timely market insights", "qualificationsBasic" : "2+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, CFA charterholder preferred, FRM certification preferred, Experience with Python preferred, Experience with R preferred, Experience with SQL preferred, Experience with Bloomberg Terminal preferred, Experience with Reuters Eikon preferred, Experience with FactSet preferred", "remoteFriendly" : false, "rawDescription" : "We are looking for a Product Analyst to support our globally recognized quantitative investment platform. We combine quantitative research with leading-edge technology to develop differentiated algorithmic investment strategies. A culture of innovation, growth and success through collaboration and mutual respect has enabled us to deliver top tier performance for over two decades. Today, our clients entrust us with over US$60 billion in assets under management across a range of investment mandates. The successful candidate will contribute directly to analysis and research that translate a quantitative investment process into clear, credible content for institutional investors. This is a high-impact role for someone who combines technical depth, sound judgment, and strong communication skills. What You Will Do Working closely with the Quantitative Equity, Client Solutions, and Institutional Sales teams, the Product Analyst will support a broad range of activities, including: Investment Content Development – Develop materials that resonate with internal/external stakeholders by clearly and succinctly relating a complex investment process to developments in markets and portfolios. Business Development – Support initiatives that contribute to the long-term growth and success of the Quantitative Equity platform. Cross-Team Engagement – Build strong relationships with internal stakeholders in order to improve systems, processes, and communications across teams. External Presence – Represent the Quantitative Equity team in meetings with institutional clients, prospects, and consultants. What You Bring Academic background in finance, economics, statistics, mathematics, engineering, data science or a related quantitative discipline. 2 – 5 years of work experience on a quantitative or systematic investment team. Working understanding of factor investing frameworks, portfolio construction and optimization principles, performance attribution and risk decomposition, and empirical research methods. Demonstrated ability to critically and creatively analyze large financial datasets, with a high level of attention to detail. Experience developing external-facing analysis or thought leadership, and ideally presenting this content to stakeholders. Exceptional written and verbal communication skills, with the ability to explain complex quantitative concepts clearly and concisely. A collaborative spirit that enables successful working relationships with a large number of internal and external stakeholders. CFA designation or progress toward completion is an asset. We welcome applications from candidates with different levels of experience. The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. To apply for this position, please submit your resume, cover letter and academic transcripts. We thank all applicants for their interest, however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Product Analyst, Quantitative Equities at Connor, Clark & Lunn Investment Management. Skills: Quantitative analysis, Financial modeling, Data analysis. Develop and maintain quantitative models. Perform data analysis", "postedDate" : "2026-06-14T19:11:56.124", "createdAt" : "2026-06-14T19:11:56.124", "lastUpdated" : "2026-06-16T04:05:21.995", "ingestTimestamp" : "2026-06-14T19:11:56.124", "mongoId" : "6a2c7c2274d8ee00a094c659", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Financial modeling", "Data analysis", "Equities", "Fixed income", "Derivatives", "Risk management", "Quantitative finance", "CFA", "FRM", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 809.2255, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7a0174d8ee00a0943f82", "title" : "Software Engineer - Core Technology", "company" : "AI Security Institute", "industry" : "Government", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineers in London, UK, adjusted for the technology industry and a mid-size company." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "Baseline Personnel Security Standard (BPSS)", "Counter-Terrorist Check (CTC)" ], "timestamp" : "2026-06-16T01:01:55.593", "fingerprint" : "ba0b839b2f01235faab9f5bb3c765e46c017de8f1e25c583b34286bc3ecdbb53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/aisi/jobs/4386112101", "externalId" : "4386112101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "technicalSkills" : "Python, AWS, Azure, Kubernetes, Terraform, CDK, Docker, VLLM, RAG systems", "professionalSkills" : [ "System design", "Technical standards" ], "hardSkillsList" : [ "Agentic evals", "Model hosting" ], "hardSkills" : [ { "name" : "Agentic evals", "level" : "intermediate" }, { "name" : "Model hosting", "level" : "intermediate" } ], "majorSkills" : "Core Technology, Software Engineering, Infrastructure", "majorSkillsList" : [ "Core Technology", "Software Engineering", "Infrastructure" ], "coreResponsibilities" : "Add feature to sandbox plugins, Implement support for new model class, Support research team designing infrastructure, Collaborate with open-source community, Assist with evaluation testing, Debug issues in Inspect", "teamCollaboration" : "Small teams; World-class research team; Scientists and engineers", "domainKnowledge" : "AI risks; Advanced AI; Frontier AI; AI security; Open-weights models; Agentic evals", "domainList" : [ "ai-risks", "advanced-ai", "frontier-ai", "ai-security", "open-weights-models", "agentic-evals" ], "domainSpecificKnowledge" : [ "AI risks", "Advanced AI", "Frontier AI", "AI security", "Open-weights models", "Agentic evals" ], "toolProficiency" : [ "Inspect", "CDK" ], "communicationSkills" : "Written communication; Verbal communication", "continuousLearning" : "Learning and development stipends; Funding for conferences; External collaborations", "problemSolvingSkills" : "Tackling challenging problems", "specialRequirements" : "Criminal record check, BPSS clearance", "qualificationsBasic" : "Writing production quality code, Writing code efficiently, Python, Written communication, Verbal communication, Teamwork, Interpersonal skills, Tackling challenging problems", "qualificationsPreferred" : "Expertise in Cloud Infrastructure, Dev Ops expertise, Cybersecurity expertise, ML Ops expertise", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Role Description The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure. In this role, you’ll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge). About our Core Technology Team AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies. As a software engineer on one of these teams, you might: Add a feature to one of our “sandbox plugins” for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code Implement support for a new class of open-weights model on our model hosting platform Support a research team with designing custom infrastructure for a new research project Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Writing production quality code at fast pace. Designing, shipping, and maintaining complex tech products. Improving technical standards across a team, through mentoring and feedback. Strong written and verbal communication skills. Experience working with a world-class research team comprised of both scientists and engineers (e. g. in a top-3 lab). Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code. Motivated candidates are encouraged to apply even if you don't meet all the above criteria. Required Experience We select based on skills and experience regarding the following areas: Writing production quality code Writing code efficiently Python Written communication Verbal communication Teamwork Interpersonal skills Tackling challenging problems Desired Experience We additionally may factor in experience with particular areas like: Expertise in Cloud Infrastructure or Dev Ops (AWS, Azure, Kubernetes, Terraform, CDK, Docker, etc.) Cybersecurity expertise ML Ops (vLLM, agent frameworks, fine-tuning, RAG systems, etc.) What We Offer Impact you couldn't have anywhere else Incredibly talented, mission-driven and supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister’s AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research and adjacent sciences. Growth & autonomy If you’re talented and driven, you’ll own important problems early. 5 days off and annual stipends for learning and development, and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family* Modern central London office (cafes, food court, gym), or where applicable, option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work-from-home equipment. At least 25 days’ annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. *These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Salary Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. The full range of salaries are available below: Level 3: £65,000–£75,000 (Base £39,850 + Technical Allowance £25,150–£35,150) Level 4: £85,000–£95,000 (Base £47,355 + Technical Allowance £37,645–£47,645) Level 5: £105,000–£115,000 (Base £61,620 + Technical Allowance £43,380–£53,380) Level 6: £125,000–£135,000 (Base £74,605 + Technical Allowance £50,395–£60,395) Level 7: £145,000 (Base £74,605 + Technical Allowance £70,395) Additional Information Use of AI in Applications Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use. Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see - Internal Fraud Register. Security Successful candidates must undergo a criminal record check and get baseline personnel security standard (BPSS) clearance before they can be appointed. Additionally, there is a strong preference for eligibility for counter-terrorist check (CTC) clearance. Some roles may require higher levels of clearance, and we will state this by exception in the job advertisement. See our vetting charter here. Nationality requirements We may be able to offer roles to applicant from any nationality or background. As such we encourage you to apply even if you do not meet the standard nationality requirements (opens in a new window). Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window). As part of the application process, we monitor statistics on D& I. You can see how we process this data here: Recruitment privacy notice - GOV.UK.", "summaryDescription" : "Software Engineer - Core Technology at AI Security Institute. Skills: Core Technology, Software Engineering, Infrastructure. Add feature to sandbox plugins. Implement support for new model class", "postedDate" : "2026-06-14T18:34:55.341", "createdAt" : "2026-06-14T18:34:55.341", "lastUpdated" : "2026-06-16T01:01:55.593", "ingestTimestamp" : "2026-06-14T18:34:55.341", "mongoId" : "6a2c7a0174d8ee00a0943f82", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Agentic evals", "Model hosting", "Core Technology", "Software Engineering", "Infrastructure", "System design", "Technical standards", "AI risks", "Advanced AI", "Frontier AI", "AI security", "Open-weights models", "Baseline Personnel Security Standard (BPSS)", "Counter-Terrorist Check (CTC)", "Inspect", "CDK" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 793.3039, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cd574d8ee00a091bab7", "title" : "Quantitative Product Development Engineer", "company" : "Metabit Technology LLC", "industry" : "FinTech", "salary" : { "min" : 480000.0, "max" : 720000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Quantitative Product Development Engineer in FinTech in Hong Kong, adjusted for entry-level experience and company size." }, "location" : "Hong Kong", "locations" : [ "Hong Kong" ], "timestamp" : "2026-06-15T05:28:03.400", "fingerprint" : "73bbbe8cfdceac1356aa821169c29866ce189c7665fdbcb844c071fb9b9c4ec7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/metabittechnologyllc/jobs/4265918009", "externalId" : "4265918009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C++, Python, Java, Go, Rust", "professionalSkills" : [ "System design", "Technical excellence" ], "hardSkillsList" : [ "Quantitative trading" ], "hardSkills" : [ { "name" : "Quantitative trading", "level" : "intermediate" } ], "majorSkills" : "Equity trading, Futures trading, Strategy deployment", "majorSkillsList" : [ "Equity trading", "Futures trading", "Strategy deployment" ], "coreResponsibilities" : "Develop trading products, Maintain trading products, Improve online service quality, Assume ownership of reliability, Collaborate with Quantitative Researchers, Facilitate deployment of strategies, Facilitate iteration of strategies, Ensure strategies execute efficiently, Generate substantial returns, Guarantee stable operation, Manage production incidents, Address critical emergency situations, Optimize system performance, Optimize computation performance, Optimize storage performance, Optimize networking performance, Optimize hardware resources performance", "teamCollaboration" : "Collaborate with Quantitative Researchers", "domainKnowledge" : "Equity trading; Futures trading; Financial trading systems; Post-trade workflow", "domainList" : [ "equity-trading", "futures-trading", "financial-trading-systems", "post-trade-workflow" ], "domainSpecificKnowledge" : [ "Equity trading", "Futures trading", "Financial trading systems", "Post-trade workflow" ], "toolProficiency" : [ "Git", "Code review", "CI/CD" ], "communicationSkills" : "Fluent in Chinese; Fluent in English", "outcomesObjectives" : "Generate substantial returns", "qualificationsBasic" : "Bachelor's degree or higher, Minimum of 2 years experience, Proficiency in Linux, Proficiency in C++, Proficiency in scripting language, Proficiency in Python 3, Proficiency in strongly typed language, Familiarity with production lifecycle, Familiarity with service reliability, Familiarity with Git, Familiarity with code review, Familiarity with CI/CD, Adept at building developer tools", "qualificationsPreferred" : "Award winners in ACM/ICPC, Award winners in NOI/NOIP, Experience maintaining mission-critical products, System design capabilities, Experience in financial trading systems, Experience in post-trade workflow development", "rawDescription" : "Responsibilities Deeply participate in the development and maintenance of equity and futures trading products. Continuously improve online service quality through technical engineering and assume ownership of the reliability of the live trading environment. Collaborate closely with Quantitative Researchers to facilitate the deployment and continuous iteration of diverse strategies at varying scales. Ensure these strategies execute efficiently in the production environment to generate substantial returns. Guarantee the stable operation of live trading systems. Manage production incidents during trading hours and maintain readiness to address critical emergency situations. Optimize the performance of trading and order execution systems across multiple dimensions, including computation, storage, networking, and hardware resources. Qualifications Bachelor’s degree or higher in Computer Science or a related field. Minimum of 2 years of relevant professional experience. Proficiency in the Linux operating system. Technical proficiency in at least one of the following): C++ and one scripting language. Python 3 and one strongly typed language (e.g., Java, Go, Rust). Familiarity with the full production lifecycle and iteration workflows of online services, with an understanding of technical methods to enhance service reliability. Familiarity with engineering best practices including Git, code review, and CI/CD. Adept at building developer tools with a pursuit of technical excellence. Strong interest in quantitative trading; fluent in both Chinese and English. Preferred Qualifications Award winners in ACM/ICPC, NOI/NOIP, or other major informatics competitions. Experience maintaining mission-critical products with high complexity and massive scale. Strong system design capabilities, with the ability to architect systems for performance, reliability, and availability. Experience in financial trading systems or post-trade workflow development.", "summaryDescription" : "Quantitative Product Development Engineer at Metabit Technology LLC. Skills: Equity trading, Futures trading, Strategy deployment. Develop trading products. Maintain trading products", "postedDate" : "2026-06-14T05:29:48.316", "createdAt" : "2026-06-14T05:29:48.316", "lastUpdated" : "2026-06-15T05:28:03.400", "ingestTimestamp" : "2026-06-14T05:29:48.316", "mongoId" : "6a2c6cd574d8ee00a091bab7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative trading", "Equity trading", "Futures trading", "Strategy deployment", "System design", "Technical excellence", "Financial trading systems", "Post-trade workflow", "Git", "Code review", "CI/CD" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 769.6543, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30811cf292fd229c068df6", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 275000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and the technology industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:50:44.660", "fingerprint" : "defe7642e7f4a014b6c3d44749de47c63804e69df78e9bb2cd72762ed6add489", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Sr. Software Engineer, Systems Infrastructure at LinkedIn", "postedDate" : "2026-06-15T21:48:36.000", "createdAt" : "2026-06-16T01:42:19.122", "lastUpdated" : "2026-06-16T11:50:44.660", "ingestTimestamp" : "2026-06-16T01:42:19.122", "mongoId" : "6a30811cf292fd229c068df6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 275000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 749.4341, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307812f292fd229c029621", "title" : "Sr. Software Engineer, Systems Infrastructure", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 175000.0, "max" : 265000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Sr. Software Engineer in Bellevue, WA, adjusted for LinkedIn's size and industry." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T11:56:44.621", "fingerprint" : "bfb7d45ff87881a08df85fd5d7c08c44452e91202926a059c2fa447e3b543b28", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000132289770-sr-software-engineer-systems-infrastructure", "externalId" : "744000132289770", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "remoteFriendly" : false, "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be available in Bellevue, Washington. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do: The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below: * Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. * Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. * Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment. * Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content. ## Qualifications Basic Qualifications * BA/BS Degree in Computer Science or related technical discipline, or related practical experience. * 2+ years of industry experience in software design, development, and algorithm related solutions. * 2+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# or functional languages such as Scala or other relevant coding languages * Hands on experience developing distributed systems, large-scale systems, databases or Backend APIs Preferred Qualifications * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience * Experience in architecting, building, and running large-scale distributed systems * Experience with industry, opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice * Experience with open-source project management and governance Suggested Skills: * Data Structures & Algorithms * Distributed Systems * Operating Systems * Cloud Computing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $139,000 to $229,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. ## Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36 Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. 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Our work is bold, our team is passionate, and our technology has to keep pace with both. We're looking for a Director, IT Infrastructure who doesn't just keep the lights on — they build the grid. This is a senior leadership role for someone who thinks in systems, thrives in transformation, and knows how to translate deep technical expertise into organizational impact. You'll own the full IT infrastructure landscape — from hardware and networks to support operations — and you'll shape the long-term technology roadmap for a growing, mission-driven institution. If you're energized by the intersection of strategy and execution, and you want your work to matter beyond the server room, this is your seat at the table. What You'll Do Lead Infrastructure at Scale Drive infrastructure transformation initiatives that position Nightingale to grow efficiently and sustainably. Develop and execute the strategic direction for IT infrastructure — hardware, software, networks, and beyond. Ensure high availability and peak performance of IT systems across the organization. Set the Standard Implement and maintain IT infrastructure policies and procedures aligned with industry best practices and regulatory requirements. Stay ahead of emerging technologies and trends, bringing continuous improvement and innovation to everything you touch. Identify and implement process and policy improvements — and ensure they actually stick. Lead People and Projects Manage IT infrastructure projects end-to-end: conception, implementation, and evaluation. Lead, develop, and support your team across performance, behaviors, and competencies — investing in people as much as platforms. Collaborate cross-functionally to assess and address technology needs across the organization. Participate in hiring decisions, panel interviews, and candidate selection. Own the Budget Develop and manage the functional budget, ensuring resources and assets are deployed effectively within approved parameters. What You Bring Required Bachelor's degree in Computer Science, Information Systems, or a related field from an accredited institution. 10+ years of experience in IT infrastructure and support roles. 5+ years in a leadership or managerial role. 5+ years of hands-on experience in IT infrastructure planning and development. 5+ years working with systems and network architecture, information security principles, and IT best practices. A proven ability to translate complex technical concepts for non-technical stakeholders — clearly and confidently. Bonus Points COBIT and/or ITIL certification or demonstrated working knowledge. Budgeted Hiring Range $154,000—$168,000 USD All new hires are required to attend New Collaborator Orientation (NCO) in Salt Lake City, Utah. The College will cover travel, lodging, and other accommodations. Nightingale’s commitment to diversity and inclusion is reflected both in our learners and collaborators because we believe the best outcomes for learners from underserved and diverse populations are achieved through collaborators with similar backgrounds and cultures. Nightingale Education Group is an equal opportunity employer. Our Mission (not just words on the wall, we live it, love it, and daily contribute to it): With the primary focus on higher learning in healthcare professions, Nightingale Education Group contributes to elevating education, health, and employment systems through facilitation of academic achievement, personal growth, and professional development of its learners, alumni, and collaborators, while serving diverse communities. At Nightingale Education Group, our Innovative Education model helps transform rural health landscapes through our blended-distance learning platform. Every person involved with Nightingale Education Group helps to change the lives of our learners, our communities, and ultimately the world by adding to the quality of healthcare. We are proud to have graduated nearly 5,000 nurses serving communities in need. We are serious about our outcomes and have a little bit of fun getting there. The professional and personal development of our learners and our collaborators is our company’s foundation. Not only do we develop strategies that promote a positive work-life integration, but we also create an environment that invites you to become an expert in your field, be it through higher education or professional development. Put simply, we elevate employment, elevate health, and elevate education. We’re so happy that you’ve found us! 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world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions. About the team: Skydio’s Cloud infrastructure team is here to ensure that the Skydio Cloud platform is always available to our customers when they need it: whether that’s performing a routine bridge inspection or it’s aiding in rescue operations during a natural disaster. With thousands of drones operating all over the world, we are constantly improving the continuous delivery and deployment of our infrastructure. About the role: As an Staff Infrastructure Engineer on a newish product, you’ll not just be responsible for supporting our Kubernetes fleet, but also making software changes to the core product in order to support the use cases that we need. This is a hybrid software and infrastructure role, meaning that sometimes the best solution is to fix the product, not automate around the deficiencies. This is a role for someone that enjoys having the freedom to operate across the whole stack, and the ability to affect the architecture, security, and functionality of the product. How you'll make an impact: - Re-architect and maintain the ever growing needs on our Kubernetes fleet and its supporting infrastructure. - Continually improve and expand the continuous delivery of the product. - Work in cross-functional teams (from hardware to cloud) to build new capabilities for the platform. - Work directly with security to continually improve the practices and controls that will keep our customer’s data and drones safe. - Drive cost saving initiatives early into Skydio’s product, so that it scales over time. What makes you a good fit: - 6+ years of experience as a platform engineer, DevOps or equivalent infrastructure role. - Can comfortably debug and automate Kubernetes clusters. - Not hesitant to jump into the code to fix the underlying issue (Python or Go preferred). - Prior experience implementing continuous deployment systems. - Understand cloud platforms architecture, especially networking, security, storage, and resilient application topologies. - Ability and interest in being delegated business objectives and seeking out the solutions. Bonus points: - Familiarity with supporting both SaaS and self-hosted applications. - Experience with supporting drones or highly automated physical hardware. Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $230,000-275,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *For some positions the pay may be dependent upon the individual's regional location. #LI-WA1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. 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AI/ML engineers", "domainKnowledge" : "AI/ML infrastructure; Large-scale distributed systems; Cloud platforms; Containerization technologies; Infrastructure as code; Data processing frameworks", "domainList" : [ "ai-ml-infrastructure", "large-scale-distributed-systems", "cloud-platforms", "containerization-technologies", "infrastructure-as-code", "data-processing-frameworks" ], "domainSpecificKnowledge" : [ "AI/ML infrastructure", "Large-scale distributed systems", "Cloud platforms", "Containerization technologies", "Infrastructure as code", "Data processing frameworks" ], "toolProficiency" : [ "Docker", "Kubernetes", "Terraform", "CloudFormation", "Spark", "Flink" ], "problemSolvingSkills" : "Problem solving; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in software development, Experience with Python, Experience with large-scale distributed systems, Experience with cloud platforms (AWS, GCP, Azure), Experience with containerization technologies (Docker, Kubernetes), Experience with CI/CD pipelines, Experience with infrastructure as code (Terraform, CloudFormation), Experience with monitoring and alerting tools", "qualificationsPreferred" : "Master's degree or PhD in Computer Science or related field, Experience with AI/ML infrastructure, Experience with data processing frameworks (Spark, Flink), Experience with performance tuning and optimization, Experience with security best practices", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. NBCUniversal is seeking a driven, energetic Staff Software Engineer (AI Infrastructure/Python) to lead the development of innovative new systems and solutions making use of a rapidly changing landscape of emerging technologies. This is a senior role that's part of a team focused on proving the value of new tech and bringing it to production quickly. We are seeking a candidate well versed in full stack web application software development. Responsibilities: * Develop prototypes rapidly for new proofs of concept, ensuring high usability and adherence to design specifications. * Maintain a working knowledge of back-end systems to facilitate efficient API integration and occasional deployment of full-stack applications. * Ability to integrate front end systems into Active Directory andUX flows for OAuth authentication. * Uphold high standards of code quality through rigorous testing, adherence to code standards, and common-sense testing. * Develop automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems within the NBCUniversal system portfolio as well as ensuring cross-device and browser compatibility. * Createdocumentation for developers as well as business users to help them understand our products. * Work collaboratively with a multidisciplinary team within a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions efficiently. * Deploy to cloud-based platforms (AWS, Azure, GCP) and troubleshoot application, cloud, and configuration issues when necessary. * Utilize tools for code & test generation to dramatically accelerate the delivery of features and components you create. ## Qualifications * 8+ years of experience in full stack development/engineering , demonstrated through a comprehensive portfolio and related experience. * Proven capability to bring a basic application from idea to delivery without requiring support from others. * Expertise in backend technologies (Python) and RESTful services , with practical experience in integrating and consumingAPIs in front-end projects. * Expertise in modern JavaScript , including ES6+ features and asynchronous programming. Expert in at least one modern front-end framework (React preferred , Angular or Vue acceptable). * Proficiency with working with foundation model APIs and agent frameworks to build custom generative-AI agents. * Strong understanding of web design principles, responsive and adaptive design, and UI/UX best practices. * Experience with front-end testing frameworks, code versioning tools, and a commitment to writing clean, maintainable code. * Proficient in designing and implementing serverless architectures, with hands-on experience deploying applications on a leading cloud platform such as AWS, Azure or GCP. * Demonstrated ability to adapt to an agile development environment, quickly incorporating feedback and adjusting to changing priorities. * Ability to visualize the architecture of a proposed system or service, draw it out, socialize it, and build it. Desired Characteristics: * Competent in working in secured internal network environments and complex cloud network setups. * Working knowledge of AI Gateways. * Experience with Terraform. * Proven adaptability in a fast-paced, evolving technology landscape, with a strong problem-solving ability and quick learning curve. * Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently. * Ability to translate business needs into clear technical requirements. Additional Requirements: * Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the [Benefits page](https://www.nbcunicareers.com/benefits) of the Careers website. Salary range: $150,000 - $170,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.", "summaryDescription" : "Staff Software Engineer (AI Infrastructure/Python) at NBCUniversal. Skills: AI Infrastructure, Python, Distributed systems. Design and build scalable AI infrastructure. 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We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. NBCUniversal is seeking a driven, energetic Staff Software Engineer (AI Infrastructure/Python) to lead the development of innovative new systems and solutions making use of a rapidly changing landscape of emerging technologies. This is a senior role that's part of a team focused on proving the value of new tech and bringing it to production quickly. We are seeking a candidate well versed in full stack web application software development. Responsibilities: * Develop prototypes rapidly for new proofs of concept, ensuring high usability and adherence to design specifications. * Maintain a working knowledge of back-end systems to facilitate efficient API integration and occasional deployment of full-stack applications. * Ability to integrate front end systems into Active Directory andUX flows for OAuth authentication. * Uphold high standards of code quality through rigorous testing, adherence to code standards, and common-sense testing. * Develop automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems within the NBCUniversal system portfolio as well as ensuring cross-device and browser compatibility. * Createdocumentation for developers as well as business users to help them understand our products. * Work collaboratively with a multidisciplinary team within a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions efficiently. * Deploy to cloud-based platforms (AWS, Azure, GCP) and troubleshoot application, cloud, and configuration issues when necessary. * Utilize tools for code & test generation to dramatically accelerate the delivery of features and components you create. ## Qualifications * 8+ years of experience in full stack development/engineering , demonstrated through a comprehensive portfolio and related experience. * Proven capability to bring a basic application from idea to delivery without requiring support from others. * Expertise in backend technologies (Python) and RESTful services , with practical experience in integrating and consumingAPIs in front-end projects. * Expertise in modern JavaScript , including ES6+ features and asynchronous programming. Expert in at least one modern front-end framework (React preferred , Angular or Vue acceptable). * Proficiency with working with foundation model APIs and agent frameworks to build custom generative-AI agents. * Strong understanding of web design principles, responsive and adaptive design, and UI/UX best practices. * Experience with front-end testing frameworks, code versioning tools, and a commitment to writing clean, maintainable code. * Proficient in designing and implementing serverless architectures, with hands-on experience deploying applications on a leading cloud platform such as AWS, Azure or GCP. * Demonstrated ability to adapt to an agile development environment, quickly incorporating feedback and adjusting to changing priorities. * Ability to visualize the architecture of a proposed system or service, draw it out, socialize it, and build it. Desired Characteristics: * Competent in working in secured internal network environments and complex cloud network setups. * Working knowledge of AI Gateways. * Experience with Terraform. * Proven adaptability in a fast-paced, evolving technology landscape, with a strong problem-solving ability and quick learning curve. * Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently. * Ability to translate business needs into clear technical requirements. Additional Requirements: * Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the [Benefits page](https://www.nbcunicareers.com/benefits) of the Careers website. Salary range: $150,000 - $170,000 (bonus eligible) ## Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.", "summaryDescription" : "Staff Software Engineer (AI Infrastructure/Python) at NBCUniversal. Skills: AI Infrastructure, Python, Distributed systems. Design and build scalable AI infrastructure. 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Our mission is to bring clarity, control, and confidence to complex enterprise environments, helping teams govern access without slowing down innovation. About the Role: Identity is having a moment. Every company is deploying agents, spinning up service accounts, and realizing their IAM stack can't keep up. We're building AI-native security that scales with this chaos and companies like Databricks and Figma are betting on us to get it right. You will build customer solutions across the entire stack. You'll talk directly to security and eng teams at Fortune 500s and startups alike, understand their messy reality, and architect systems that actually solve their problems. You'll own the problem, not just the solution, which means you get to be creative, challenge assumptions, and build things that don't exist yet. Please note: We've built a team that works exceptionally well together and has fun doing so. 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"fingerprint" : "0781bffa5272b7743ac5648c05c1ce46c5c1034f094a6b7f541ec475853a428c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10414780/apply", "externalId" : "11fd6fd3-9f45-4b67-9e1c-6050bf0084c4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Machine Learning, Generative AI, Large Language Models, Big Data", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Software development", "ML pipelines" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "ML pipelines", "level" : "intermediate" } ], "majorSkills" : "Machine 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"domainList" : [ "finance-operations", "fraud-detection", "transaction-analysis" ], "domainSpecificKnowledge" : [ "Finance operations", "Fraud detection", "Transaction analysis" ], "innovationCreativity" : "Test new ideas", "outcomesObjectives" : "Process transactions worth billions; Save millions of dollars; Prevent theft; Recover theft; Avoid theft; Prevent fraud; Recover fraud; Avoid fraud; Prevent abuse; Recover abuse; Avoid abuse; Prevent waste; Recover waste; Avoid waste; Drive efficiencies; Drive insights", "qualificationsBasic" : "3+ years professional software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to be part of a team building big data and machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved? In our Finance Technology group, we develop big data and ML systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance processes. We build applications utilizing advanced techniques like Generative AI and Large Language Models for fraud detection. On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust ML pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback. Our team thrives on innovation, and we're open to new approaches. You'll have opportunities to test your ideas in production environments dealing with real financial data and processes. Join us to apply advanced machine learning capabilities that drive efficiencies and insights for Amazon's finance operations at a massive scale. Key job responsibilities In this role, you will participate in all parts of the software development process, from collaborating with customers on design to executing that design in a scalable and extensible way. You will have the opportunity to detect fraudulent transactions/vendors by applying machine learning techniques and help Amazon business every day. A day in the life In a typical day, you will work with fellow software engineers, scientists, and business groups across Amazon Finance Operations. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world. About the team Our team owns big data and machine learning applications and we work with finance operations to prevent, recover, or avoid internal and external theft, fraud, abuse, and waste. 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, Finance Technology at ADCI HYD 13 SEZ. Skills: Machine Learning, Big Data, Fraud detection. Participate in software development process. 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Product teams; Applied AI teams; Domain expert teams", "domainKnowledge" : "Agentic AI stack; Institutional real estate; Built world projects; Autonomous agents; Long-running workflows; Institutional scale reliability; Real-world failure modes; Regulatory constraints", "domainList" : [ "agentic-ai-stack", "institutional-real-estate", "built-world-projects", "autonomous-agents", "long-running-workflows", "institutional-scale-reliability", "real-world-failure-modes", "regulatory-constraints" ], "domainSpecificKnowledge" : [ "Agentic AI stack", "Institutional real estate", "Built world projects", "Autonomous agents", "Long-running workflows", "Institutional scale reliability", "Real-world failure modes", "Regulatory constraints" ], "toolProficiency" : [ "AWS", "Kubernetes", "Docker", "Terraform" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years experience, Experience with Python, Experience with AWS, Experience with Kubernetes, Experience with Docker, Experience with Terraform, Experience with agent orchestration, Experience with workflow engines, Experience with state management, Experience with eventing, Experience with execution reliability, Experience with real-world failure modes, Experience with partial data handling, Experience with human handoffs, Experience with long timelines, Experience with regulatory constraints, Experience with zero tolerance for silent errors", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "workSiteFlexibility" : "Flexible", "rawDescription" : "ABOUT BUILD AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world’s most important built projects - digital infrastructure, energy, industrial - from concept to completion. Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create. To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We’re backed by c-suite from Blackstone and OpenAI alongside the world’s best venture capital firms. Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here. ABOUT THE ROLE You own the foundational systems that make Build’s agentic AI real in production. This role is responsible for the infrastructure that orchestrates autonomous agents, manages long-running, high-stakes workflows, and guarantees reliability at institutional scale. Your work sets the hard limits of speed, autonomy, and trust across the entire product; - Build and operate the core primitives: agent orchestration, workflow engines, state management, eventing, and execution reliability. - Design systems that survive real-world failure modes: partial data, human handoffs, long timelines, regulatory constraints, and zero tolerance for silent errors. - Make architectural decisions that directly determine product capability, velocity, and customer trust. - Own infrastructure end-to-end: design, implementation, testing, deployment, observability, and ongoing evolution. - Work tightly with product, applied AI, and domain experts to translate abstract workflows into durable, production-grade systems. - Set the technical bar for robustness and clarity; other engineers build on what you create. HOW TO WIN AT BUILD Growing Build requires a radically different approach to company building. As a company we’re focused on one outcome: winning. That means we move fast, work with intensity, and demand excellence from ourselves. We operate with intensity but create an environment that allows for a lot of fun together. The result is that we're one of the fastest shipping teams in vertical AI, partnering with the best to automate the world around us. Performance and teamwork are the core of Build’s operation. We look for those who are able to do both, who often exhibit a particular ability for; - Velocity: You are relentless in asking the right questions to set direction. Once you find the right direction you go all-in. - Excellence: You obsess with being the best. For you, excellence is a non-negotiable standard rather than an aspiration. - Long time horizons: You choose to be in something for the long run, because that’s where most of the returns are realized. - Ownership: You take full ownership of the outcomes. You’re meticulous in your pursuits and believe you can actively shape your environment rather than adapt to it. - Customers: You have a passion for the built world and those who shape it. You probably have a quirky hobby or story that relates to your love for building. - Integrity: You chose to do the right thing even when it isn’t easy. - Trust: You only work with people you can trust because it’s the only way to do truly extraordinary things. - Yield: You have a burning need to see a result on every action you take and you’re always looking for routes to do more with less. WHAT WE OFFER - Radical autonomy, real ownership: High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity. - An accelerated founder’s track: Build is for builders. If you want to learn what it actually takes to create a generational company – Product judgment, execution speed, and accountability – there is no faster path than building from zero when everything is for grabs. - Elite teammates, uncompromising bar: You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates. - Perpetual adventure: We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional. - Shape the built world: We are rebuilding how the physical world gets made. Our software doesn’t live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.", "summaryDescription" : "Senior Software Engineer - Core Infrastructure at Build AI. Skills: Agent orchestration, Workflow engines, System design. Build core primitives. Operate core primitives", "createdAt" : "2026-06-14T21:04:50.091", "lastUpdated" : "2026-06-15T22:29:45.152", "ingestTimestamp" : "2026-06-14T21:04:50.091", "mongoId" : "6a2ca13b74d8ee00a09a4cde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Agent orchestration", "Workflow engines", "State management", "Eventing", "Execution reliability", "System design", "Architectural decisions", "Agentic AI stack", "Institutional real estate", "Built world projects", "Autonomous agents", "Long-running workflows", "Institutional scale reliability", "Real-world failure modes", "Regulatory constraints", "AWS", "Kubernetes", "Docker", "Terraform" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 654.8571, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a25145a74d8ee00a00bb50d", "title" : "Software Sourcing Manager, Technology Sourcing & Infrastructure", "company" : "Amazon Support Services Costa Rica SRL", "industry" : "Supply Chain/Transportation Management, Supply Chain Management, ecp", "salary" : { "min" : 4.8E7, "max" : 7.2E7, "currency" : "CRC", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Sourcing Manager in San Jose, Costa Rica, adjusted for industry and company size." }, "location" : "San Jose, San Jose, CRI", "locations" : [ "San Jose, San Jose, CRI" ], "timestamp" : "2026-06-15T07:51:31.289", "fingerprint" : "2735e98b4e7c0b05737dcee5420193f7d2f4e127c7a0202ce3c1a151f9fae0e8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440112/apply", "externalId" : "b586499d-d69f-4ff5-9cf3-ab69186db2c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Jose", "state" : "San Jose", "country" : "Costa Rica", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "9.9327707,-84.0796144" } ], "locationText" : "San Jose, San Jose, Costa Rica", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "professionalSkills" : [ "Strategic sourcing", "Category management", "Deal execution", "Vendor management", "Sourcing strategies", "Negotiation strategies", "Commercial terms", "Legal terms", "Process improvement" ], "hardSkillsList" : [ "Software sourcing", "Enterprise software sourcing", "Contract negotiation", "Commercial negotiation", "Legal negotiation", "SLA management", "Cost reduction", "Risk mitigation" ], "softSkillsList" : [ "Negotiation", "Influencing", "Analytical", "Interpersonal skills", "Independent work", "Ambiguity tolerance", "High-judgment decisions" ], "hardSkills" : [ { "name" : "Software sourcing", "level" : "intermediate" }, { "name" : "Enterprise software sourcing", "level" : "intermediate" }, { "name" : "Contract negotiation", "level" : "intermediate" }, { "name" : "Commercial negotiation", "level" : "intermediate" }, { "name" : "Legal negotiation", "level" : "intermediate" }, { "name" : "SLA management", "level" : "intermediate" }, { "name" : "Cost reduction", "level" : "intermediate" }, { "name" : "Risk mitigation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" }, { "name" : "Influencing" }, { "name" : "Analytical" }, { "name" : "Interpersonal skills" }, { "name" : "Independent work" }, { "name" : "Ambiguity tolerance" }, { "name" : "High-judgment decisions" } ], "majorSkills" : "Software sourcing, Technology sourcing, Vendor management, Negotiation", "majorSkillsList" : [ "Software sourcing", "Technology sourcing", "Vendor management", "Negotiation" ], "coreResponsibilities" : "Drive cost-out of third-party software, Mitigate contractual risk, Mitigate investment risk, Build deal strategies, Execute deal strategies, Develop best practices for deal outcome, Develop best practices for deal efficiency, Negotiate software license contracts, Negotiate support/maintenance contracts, Negotiate services contracts, Ensure competitive bidding, Ensure best value for Amazon, Develop scalable sourcing processes, Document scalable sourcing processes, Partner with asset management teams, Execute vendor-specific strategies, Execute vendor-specific processes, Manage software governance, Manage software compliance", "teamCollaboration" : "Internal customers; Key stakeholders; Multiple regions; Security teams; Engineering teams; Finance teams; Legal teams; Technology procurement; Business units; TSI organization; Cross-functionally; Functional teams; Asset management teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Enterprise software sourcing; Technology sourcing; Infrastructure sourcing; Software governance; Compliance processes", "domainList" : [ "enterprise-software-sourcing", "technology-sourcing", "infrastructure-sourcing", "software-governance", "compliance-processes" ], "domainSpecificKnowledge" : [ "Enterprise software sourcing", "Technology sourcing", "Infrastructure sourcing", "Software governance", "Compliance processes" ], "communicationSkills" : "Written communication; Verbal communication; Oral communication; Senior leadership communication", "documentationSkills" : "Document processes", "innovationCreativity" : "Leveraging emerging technologies", "problemSolvingSkills" : "Analytical skills; High-judgment decisions", "outcomesObjectives" : "Drive cost-out; Mitigate risk; Manage sourcing initiatives; Support governance processes; Support compliance processes; Deliver communications to senior leadership", "qualificationsBasic" : "5+ years strategic sourcing, 5+ years category management, 5+ years vendor management, Written and verbal communication skills, Communicate with technical audiences, Communicate with non-technical audiences, Communicate with senior leadership, Speak English fluently, Write English fluently, Read English fluently, Take direction in English", "qualificationsPreferred" : "Experience working with cross-functional teams, Experience managing projects, Experience working independently, Master's degree, 7+ years IT sourcing experience, 7+ years IT procurement experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is seeking a Software Sourcing Manager for the Technology Sourcing and Infrastructure (TSI) team with a focus on enterprise software sourcing and governance. This role will have high impact and visibility, and is responsible to drive cost-out, mitigate risk, manage key sourcing initiatives, and support software governance and compliance processes. You will develop and maintain strong partnerships with key internal customers and stakeholders across multiple regions - including security, engineering, finance, legal, technology procurement, and various business units – to drive enterprise-tier sourcing strategies, deal execution, vendor management, and technology-related process improvement initiatives (both efficiency and customer experience). You will identify investment and prioritization opportunities, including collaboration on company-wide tool rationalization and consolidation, leveraging emerging technologies, and delivering communications to senior leadership. You are responsible to partner across the TSI organization, and with business units across the enterprise, to define requirements for sourcing needs and establish sourcing and negotiation strategies for complex and strategic software vendors. You will negotiate commercial and legal terms for vendor relationships, including product and payment terms, price protection, termination language, and maintenance/support costs and SLAs. You will manage all aspects of vendor relationships including business performance reviews, escalation support for internal customers (including executive sponsors), and resolving vendor or contract issues. The candidate should possess strong negotiation, influencing, analytical, and interpersonal skills (including written and oral communications). You will demonstrate the ability to collaborate with technical and non-technical teams, work independently in a fast-paced and rapidly changing environment, and be comfortable with ambiguity and making high-judgement decisions. Key job responsibilities • Drive cost-out of third-party software engagements • Identify and mitigate contractual and investment risk in strategic vendor relationships • Build deal strategies and partner with business leaders to execute, including multi-year/long term strategic relationships • Identify and develop best practices for deal outcome and efficiency • Negotiate software license, support/maintenance, and services contracts, including strategies to ensure competitive bidding and best value for Amazon • Develop and document scalable sourcing processes • Partner cross-functionally across multiple business units and functional teams including security, finance, engineering, legal, tax, and procurement teams. • Partner with asset management teams to execute on vendor-specific strategies and processes for effective software governance and compliance Basic Qualifications: - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - 5+ years of relevant strategic sourcing and category management in indirect categories such as professional services, support or maintenance spend, supply chain, forecasting, manufacturing, sourcing/procurement, or vendor management experience - Speak, write, and read fluently in English, and have the ability to take direction in English Preferred Qualifications: - Experience working with cross-functional teams - Experience managing projects and working independently - Master's degree with 7+ years of relevant strategic IT sourcing/procurement experience 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 Sourcing Manager, Technology Sourcing & Infrastructure at Amazon Support Services Costa Rica SRL. Skills: Software sourcing, Technology sourcing, Vendor management, Negotiation. Drive cost-out of third-party software. Mitigate contractual risk", "postedDate" : "2026-06-13T13:10:25.209", "createdAt" : "2026-06-13T13:10:25.209", "lastUpdated" : "2026-06-15T07:51:31.289", "ingestTimestamp" : "2026-06-13T13:10:25.209", "mongoId" : "6a25145a74d8ee00a00bb50d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440112/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software sourcing", "Enterprise software sourcing", "Contract negotiation", "Commercial negotiation", "Legal negotiation", "SLA management", "Cost reduction", "Risk mitigation", "Negotiation", "Influencing", "Analytical", "Interpersonal skills", "Independent work", "Ambiguity tolerance", "High-judgment decisions", "Technology sourcing", "Vendor management", "Strategic sourcing", "Category management", "Deal execution", "Sourcing strategies", "Negotiation strategies", "Commercial terms", "Legal terms", "Process improvement", "Project management", "Infrastructure sourcing", "Software governance", "Compliance processes" ], "skillCount" : 29, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 652.8573, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e425f8b1b0376634c610", "title" : "Senior Software Engineer - Infrastructure", "company" : "Twitch Interactive, Inc.", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-15T03:43:09.226", "fingerprint" : "51e8c700534fc27300341b12bd6d25f82c5b7aec1c9dde2b564d3ba9ff4854d6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077569/apply", "externalId" : "f9c20c3e-1eee-4038-a269-cf9e6cc9c284", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, GO, SQL, Python, Airflow, Dbt, AWS Glue, Flink, Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Data pipeline optimization", "Data quality assurance", "Performance optimization", "Cost optimization" ], "softSkillsList" : [ "Mentor", "Tech lead" ], "hardSkills" : [ { "name" : "Data pipeline optimization", "level" : "intermediate" }, { "name" : "Data quality assurance", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentor" }, { "name" : "Tech lead" } ], "majorSkills" : "Data infrastructure, Cloud platforms, Data pipelines", "majorSkillsList" : [ "Data infrastructure", "Cloud platforms", "Data pipelines" ], "coreResponsibilities" : "Design scalable data infrastructure, Implement scalable data infrastructure, Maintain scalable data infrastructure, Build data pipelines, Optimize data pipelines, Ensure data quality, Ensure data reliability, Ensure data observability, Understand requirements, Deliver high-performance solutions, Champion security best practices, Champion compliance best practices, Champion governance best practices, Identify performance optimization opportunities, Identify cost optimization opportunities, Stay current with tools, Stay current with frameworks, Stay current with cloud services", "teamCollaboration" : "Collaborate with data engineers; Collaborate with analysts; Collaborate with software teams", "domainKnowledge" : "Distributed systems; Data infrastructure; Machine learning; Business intelligence", "domainList" : [ "distributed-systems", "data-infrastructure", "machine-learning", "business-intelligence" ], "domainSpecificKnowledge" : [ "Distributed systems", "Data infrastructure", "Machine learning", "Business intelligence" ], "toolProficiency" : [ "Airflow", "Dbt", "AWS Glue", "Redshift", "Snowflake", "BigQuery", "Delta Lake", "Iceberg", "Parquet" ], "problemSolvingSkills" : "Performance optimization; Cost optimization", "qualificationsBasic" : "5+ years software development, 5+ years programming, 5+ years design/architecture, 6+ years data engineering/DevOps/infrastructure, Hands-on cloud expertise, Proficiency in GO, SQL, Python", "qualificationsPreferred" : "Experience with real-t", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/ About Us: Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role IVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization. In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases. You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data. You Will - Design, implement, and maintain scalable data infrastructure in AWS cloud - Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads. - Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting. -Work closely with data engineering and analytics teams to understand requirements and deliver high-performance solutions. -Champion best practices for security, compliance, and governance in data infrastructure. - Identify opportunities to optimize performance and cost of data platforms. - Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem. Perks - Medical, Dental, Vision & Disability Insurance - 401(k) - Amazon Employee Discount Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - 6+ years of experience in data engineering, DevOps, or infrastructure engineering roles. - Strong hands-on expertise with cloud platforms - Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink). - Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet). - Proficiency in GO, SQL, and Python for building and maintaining data systems. - Solid understanding of distributed systems and performance optimization. Preferred Qualifications: - Experience with real-time data streaming and event-driven architectures. - Strong hands-on expertise with AWS cloud - Background in observability and monitoring - Knowledge of data governance, security, and compliance best practices - Prior experience supporting machine learning or advanced analytics environments. Twitch 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. Pursuant to the San Francisco 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 $151,300/year in our lowest geographic market up to $261,500/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" : "Senior Software Engineer - Infrastructure at Twitch Interactive, Inc.. Skills: Data infrastructure, Cloud platforms, Data pipelines. Design scalable data infrastructure. Implement scalable data infrastructure", "postedDate" : "2026-06-13T20:14:31.795", "createdAt" : "2026-06-13T20:14:31.795", "lastUpdated" : "2026-06-15T03:43:09.226", "ingestTimestamp" : "2026-06-13T20:14:31.795", "mongoId" : "68c2e425f8b1b0376634c610", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077569/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline optimization", "Data quality assurance", "Performance optimization", "Cost optimization", "Mentor", "Tech lead", "Data infrastructure", "Cloud platforms", "Data pipelines", "System design", "Reliability", "Scaling", "Distributed systems", "Machine learning", "Business intelligence", "Airflow", "Dbt", "AWS Glue", "Redshift", "Snowflake", "BigQuery", "Delta Lake", "Iceberg", "Parquet" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 647.95654, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8c8d74d8ee00a0975cb1", "title" : "Software Engineer, AI/ML Infrastructure", "company" : "Thumbtack", "industry" : "Engineering", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Software Engineer, AI/ML Infrastructure in the US technology industry, adjusted for remote work and company size." }, "location" : "Remote, United States", "locations" : [ "Remote, United States" ], "timestamp" : "2026-06-16T02:10:51.179", "fingerprint" : "b8ec64424dd142f1ddbeca77cd2fec5d04a923012a071b1a818ab2eefecc185b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/thumbtack/3efb1a7b-cfaf-475a-86a9-abff37581b4b/application", "externalId" : "3efb1a7b-cfaf-475a-86a9-abff37581b4b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE MACHINE LEARNING INFRASTRUCTURE TEAM At Thumbtack, our challenges span a wide range of areas, including search, recommendations, matchmaking, pricing, safety, content generation, fraud detection, and more. The ML Infrastructure team is responsible for centralizing, standardizing and evolving AI/ML infrastructure that enables these experiences. We empower product engineering teams by providing scalable, high-performance systems that drive AI innovation at scale. To read more about some of the engineering challenges at Thumbtack, visit our engineering blog https://www.thumbtack.com/engineering/. THE CHALLENGE As a Software Engineer on the ML Infrastructure team, you will work closely with product and platform engineering teams to build and evolve core AI platform capabilities. You will help design and improve systems that allow teams to develop, run, and scale GenAI-powered applications in production. Your work will directly support AI-driven experiences used by millions of customers and pros across the Thumbtack ecosystem. WHAT YOU’LL DO - Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Thumbtack. - Contribute to the design, development, and deployment of scalable tools and infrastructure to support the efforts of our applied scientists, including traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling. - Work hands on across the stack, from backend services and execution infrastructure to integrations with AI models and tooling. - Partner with senior engineers to evaluate next-generation AI infrastructure frameworks and tools that help product teams harness advances in AI. - Drive projects to completion with a strong focus on business impact and measurable outcomes. - Solve complex technical problems and stay up to date with advances in this rapidly evolving space. IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - 1 to 3 years of professional software engineering experience. - Strong fundamentals in data structures, algorithms, and software design. - Proficiency in at least one major programming language, and the ability to work across multiple languages. Our primary stack includes Go and Python. - Experience working with relational or NoSQL databases such as Postgres or DynamoDB. - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output - Comfort operating in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it. - You operate with a bias to action, quickly learning what is needed and taking decisive steps to move work forward in ambiguous, fast-paced environments. EXPECTED SALARY RANGES - For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $145,400 - $188,100. - For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $130,900 - $169,400. - For candidates living in all other US locations, the expected salary range for this role is currently $123,300 - $159,500. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. https://careers.thumbtack.com/recruiting-scams", "summaryDescription" : "Software Engineer, AI/ML Infrastructure at Thumbtack", "createdAt" : "2026-06-14T19:29:33.741", "lastUpdated" : "2026-06-16T02:10:51.179", "ingestTimestamp" : "2026-06-14T19:29:33.741", "mongoId" : "6a2c8c8d74d8ee00a0975cb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.6666667, "_score" : 638.59686, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f59f292fd229c05838c", "title" : "Senior Software Engineer, Infrastructure, Google Cloud Storage", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 215000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Kirkland, WA, adjusted for Google's size and industry, reflecting 2024-2025 data." }, "location" : "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]", "locations" : [ "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]" ], "timestamp" : "2026-06-16T11:39:44.161", "fingerprint" : "11eb112b84719d02128cb31103a3182e54733c13043c085c07c208d78efd7816", "source" : "google", "language" : "en", "externalId" : "116186879820210886", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Software Engineer, Infrastructure, Google Cloud Storage at Google", "postedDate" : "2026-06-16T01:49:09.705", "createdAt" : "2026-06-16T01:49:09.705", "lastUpdated" : "2026-06-16T11:39:44.161", "ingestTimestamp" : "2026-06-16T01:49:09.705", "mongoId" : "6a307f59f292fd229c05838c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 632.6222, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c6b6274d8ee00a0911ff3", "title" : "Senior Software Engineer, Security Infrastructure", "company" : "Cadence Solutions", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T10:12:27.593", "fingerprint" : "db97ec67ec98eb0694475283247400ed2f776faeaddf7febda0a920e12c42ed8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/solutions/jobs/4680205006", "externalId" : "4680205006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Kubernetes, CI/CD, Identity systems, Secrets management, AI governance", "professionalSkills" : [ "System design", "Risk controls", "Architectural decisions", "Secure integration", "AI adoption", "Clinical decisions" ], "hardSkillsList" : [ "Data classification", "GRC automation" ], "hardSkills" : [ { "name" : "Data classification", "level" : "intermediate" }, { "name" : "GRC automation", "level" : "intermediate" } ], "majorSkills" : "Security infrastructure, Cloud infrastructure, Platform security", "majorSkillsList" : [ "Security infrastructure", "Cloud infrastructure", "Platform security" ], "coreResponsibilities" : "Implement security-critical features, Drive secure architectural decisions, Build reusable security primitives, Contribute to open standards, Design security controls, Build AI governance frameworks, Ensure AI systems are safe", "teamCollaboration" : "Product and Platform Engineering teams", "domainKnowledge" : "Healthcare partners; External systems; Patient safety outcomes; Clinical Intelligence platform; AI agents", "domainList" : [ "healthcare-partners", "external-systems", "patient-safety-outcomes", "clinical-intelligence-platform", "ai-agents" ], "domainSpecificKnowledge" : [ "Healthcare partners", "External systems", "Patient safety outcomes", "Clinical Intelligence platform", "AI agents" ], "communicationSkills" : "Translate technical findings", "problemSolvingSkills" : "Solve complex security challenges", "qualificationsBasic" : "Bachelor's or Master's degree, 3+ years software engineering, 2+ years building systems, Navigate and reason across stack, Identify patterns and design scalable paths, Effective communicator, Demonstrated interest in security, Ability to think adversarially", "qualificationsPreferred" : "Equivalent work experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. The Role We're hiring a Senior Software Engineer, Security Infrastructure to build scalable security infrastructure that embeds compliance and risk controls directly into the Cadence platform. You will solve complex security challenges such as data classification, AI governance, GRC automation, and secure integration with healthcare partners and external systems. What You'll Do Embed directly within Product and Platform Engineering teams to implement security-critical features and components of Cadence's platform, and drive teams toward secure architectural and implementation decisions as needed. Build security capabilities that differentiate Cadence and influence the broader healthcare ecosystem, including reusable security primitives, contributions to open standards and open-source initiatives, and partnerships with customers and vendors to raise the bar for privacy, interoperability, and secure AI adoption. Design and implement security controls across cloud infrastructure, Kubernetes, CI/CD systems, endpoints, identity systems, secrets management, and broader platform security primitives to keep core systems secure. Build AI governance processes, frameworks, and safeguards that help ensure Cadence's AI systems are safe, reliable, fair, and aligned with patient safety outcomes. What You Need Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 3+ years of software engineering experience, with at least 2+ years building and shipping real systems or infrastructure. Strong ability to navigate and reason across the stack - quickly understanding unfamiliar codebases, architectures, and tooling ecosystems. Ability to identify patterns and design scalable “golden paths” (e.g., logging, access controls, network security) that work across teams. Effective communicator who translates technical findings into clear designs, builds alignment, and drives initiatives from concept to execution. Demonstrated interest in security and the ability to think adversarially - approaching system design with rigor, considering failure modes, and leveraging modern tools to accelerate solutions. Compensation Our job titles may span more than one career level. The base salary for this role typically ranges between $170,000 - $220,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role is eligible for equity as part of the total compensation package. Actual compensation may vary by location. Benefits & Perks Competitive pay & equity* Fully remote Comprehensive health coverage: Medical, dental & vision Paid time off 401k plan + matching Paid parental leave Home office stipend *benefit offerings may vary depending on job profile, job level and worker type Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws. A notice to Cadence applicants: Our Talent team only directs candidates to apply through our official careers page at https://www.cadence.care/our-team. Cadence will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. 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Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud computing; DevOps principles; Infrastructure as code; Container orchestration; CI/CD practices; System monitoring; Network security", "domainList" : [ "cloud-computing", "devops-principles", "infrastructure-as-code", "container-orchestration", "ci-cd-practices", "system-monitoring", "network-security" ], "domainSpecificKnowledge" : [ "Cloud computing", "DevOps principles", "Infrastructure as code", "Container orchestration", "CI/CD practices", "System monitoring", "Network security" ], "toolProficiency" : [ "Terraform", "Ansible", "Docker", "Kubernetes", "Prometheus", "Grafana", "ELK Stack", "Git", "Jenkins", "Azure DevOps" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay up-to-date with cloud technologies", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "4+ years of experience, Bachelor's degree in Computer Science, Experience with cloud platforms, Experience with CI/CD pipelines, Experience with containerization technologies, Experience with infrastructure as code, Experience with monitoring and logging tools, Experience with scripting languages", "qualificationsPreferred" : "Master's degree in Computer Science, Experience with Kubernetes, Experience with serverless technologies, Experience with security best practices, Experience with database administration, Experience with network engineering", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Software Engineer, Pune We are seeking an experienced and highly motivated Mid Software Engineer with strong expertise in Python, Java, Microservices architecture, and SQL. The ideal candidate should demonstrate excellent problem‑solving skills, strong engineering fundamentals, and hands‑on experience building scalable, reliable backend systems. This role requires close collaboration with cross‑functional teams and ownership of end‑to‑end solution delivery. Responsibilities * Design, develop, and maintain scalable backend services using Python and Java. * Build, enhance, and maintain microservices‑based architectures with a focus on performance, scalability, and reliability. * Develop Python‑based components for data processing, transformation, and analysis using standard libraries. * Write efficient, optimized SQL queries and work with relational databases. * Ensure high code quality through code reviews, unit testing, and adherence to best engineering practices. * Troubleshoot, debug, and resolve complex production issues. * Collaborate closely with Product, QA, DevOps, and other engineering teams. * Continuously improve system performance, maintainability, and operational stability. ## Qualifications * Must have 4+ years of experience, * Core Programming: Strong proficiency in Python, with hands‑on experience in Python (Pandas, NumPy, statistical/analytical libraries). * Solid experience in Java with strong object‑oriented programming fundamentals. * Strong problem‑solving and analytical skills Backend & Microservices * Proven experience designing and developing Microservices. * Strong understanding of RESTful APIs and service‑to‑service communication. * Knowledge of design patterns, data structures, and algorithms. Databases * Strong hands‑on experience with SQL and relational databases. * Experience in query optimization, schema design, and performance tuning. * Additional / Relevant Skills (Professional Engineer Expectations) * Experience with cloud platforms such as Azure / AWS / GCP. * Familiarity with containerization and orchestration tools (Docker, Kubernetes). * Knowledge of CI/CD pipelines and DevOps practices. * Experience with version control systems (Git). * Understanding of application security best practices. * Experience with logging, monitoring, and observability tools. * Exposure to message queues or event‑driven systems (Kafka, RabbitMQ, etc.). * Familiarity with Agile/Scrum methodologies. Nice to Have * Large‑scale / distributed processing (nice to have): PySpark / Spark ecosystem where applicable. * Experience building Python‑based batch jobs or backend services. * Exposure to machine learning or advanced statistical techniques. Soft Skills * Strong communication and collaboration skills. * Ability to take ownership and deliver independently. * Proactive mindset with a focus on continuous improvement. * Ability to work effectively in a fast‑paced, collaborative environment. * Good documentation and knowledge‑sharing habits ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Software Engineer at NielsenIQ. Skills: DevOps, Cloud Engineering, Infrastructure Automation. Design and implement cloud infrastructure. Develop and maintain CI/CD pipelines", "postedDate" : "2026-06-15T14:26:01.000", "createdAt" : "2026-06-15T23:56:35.620", "lastUpdated" : "2026-06-16T10:14:01.564", "ingestTimestamp" : "2026-06-15T23:56:35.620", "mongoId" : "6a3068adf292fd229cfc5083", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Cloud architecture", "DevOps practices", "Infrastructure automation", "System administration", "Network configuration", "Database management", "Security implementation", "DevOps", "Cloud Engineering", "Infrastructure Automation", "System design", "Automation", "Troubleshooting", "Problem solving", "Agile methodologies", "Cloud computing", "DevOps principles", "Infrastructure as code", "Container orchestration", "CI/CD practices", "System monitoring", "Network security", "AWS Certified DevOps Engineer", "Azure DevOps Engineer Expert", "Google Professional Cloud DevOps Engineer", "Terraform", "Ansible", "Docker", "Kubernetes", "Prometheus", "Grafana", "ELK Stack", "Git", "Jenkins", "Azure DevOps" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 632.31665, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5e199bc74574cb674d3a", "title" : "Manager, Enterprise Technology Infrastructure", "company" : "IAMGOLD", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Enterprise Technology Infrastructure in Toronto, Canada, adjusted for the mining industry and manager seniority." }, "location" : "19 - Toronto Head Office", "locations" : [ "19 - Toronto Head Office", "
19 - Toronto Head Office (19 - Toronto Head Office)
150 King Street West
Suite 2200
Toronto, M5H 1J9

" ], "timestamp" : "2026-06-16T00:46:31.767", "fingerprint" : "85a7438bcb6e0f582a7f4f6eac15687d80a90b56d0fd5671355997c75f69e541", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57323", "externalId" : "57323", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations like the Côté Gold Mine in Ontario, one of Canada’s largest and most technologically advanced gold mines, we’re not just mining gold; we’re redefining what mining means for the future. At IAMGOLD, we believe that when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. Recognized as one of the 2025 GTA Top Employers, we offer an environment designed for growth, world-class rewards, cutting-edge development programs, and a culture that values fresh ideas and collaboration. Our results speak for themselves: ranked 13th on the 2025 TSX30, we’ve proven that performance and purpose go hand in hand. Here, you’ll work on projects that matter, leveraging technology, sustainability, and creativity to deliver impact for our teams, communities, and the planet. Innovation drives us. Sustainability anchors us. Accountability shapes us. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Sustainability Approach About the role: Join us as the Manager, Enterprise Technology , where you will lead the architecture, planning, implementation, and management of our global technology infrastructure. Reporting to the Senior Manager, Infrastructure and Operations, you will ensure our network, cloud, computing platforms, and communications systems are secure, resilient, and scalable. In this high‑impact role, your leadership will enable enterprise‑wide digital transformation, support critical business objectives, and drive operational excellence across the organization. Responsibilities: Develop and lead our global infrastructure strategy and technology roadmap. Oversee infrastructure operations to ensure reliability, high availability, and performance. Drive modernization initiatives, including cloud adoption, automation, and platform improvements. Strengthen infrastructure security and collaborate with cybersecurity teams on threat mitigation. Lead disaster recovery and business continuity planning and testing. Manage and mentor infrastructure and operations teams, fostering collaboration and continuous improvement. Build strong vendor and MSP partnerships; negotiate contracts and manage service performance. Oversee infrastructure budgets, forecasts, and reporting. Translate business requirements into secure, scalable, and effective technology solutions. Key Skills & Knowledge: 7+ years of experience in IT infrastructure leadership within complex, multi‑site environments. Strong knowledge of cloud platforms (Azure preferred), networking, architecture, and security. Proven success leading teams and large‑scale modernization or cloud migration initiatives. Experience in industrial or mining environments (IT + OT experience is a strong asset). We Value: Certifications such as ITIL, PMP, Azure, Cisco, or FortiGate are highly valued. Excellent communication, decision‑making, and stakeholder engagement skills. Ability to lead through change, develop talent, and build a culture of innovation and collaboration. Strength in budgeting, vendor management, and prioritization under pressure. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Work-Life Balance – Summer Hours and an End-of-Year Office Closure to recharge and refocus. • Flexibility Built In – Hybrid work model and adaptable arrangements for the future of work. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. • Career Growth That Counts – Coaching for success, online learning, and conferences to keep you ahead of the curve. • Culture That Connects – Town halls, lunch & learns, and collaborative spaces where ideas shape tomorrow. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. Be part of a modern company driven by innovation, accountability, and sustainability. Apply Today! Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications. 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Distributed deployment on AKS, debug containers, AKS load balancer. * Certifications in Azure and or Agile would give additional weightage. * Fundamental understanding of testing methodologies and frameworks * Experience using Atlassian tool suite, including JIRA, Confluence * Minimum B.S. degree in Computer Science, Computer Engineering or related field ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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"locationText" : "São Paulo, São Paulo, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Kubernetes, EKS, RDS, Postgres, Docker, Terraform, Flux, Go", "professionalSkills" : [ "Technical ownership", "Cross-functional partnership", "Operational hygiene" ], "hardSkillsList" : [ "Infrastructure automation", "Failover capabilities", "Infrastructure lifecycle management" ], "hardSkills" : [ { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Failover capabilities", "level" : "intermediate" }, { "name" : "Infrastructure lifecycle management", "level" : "intermediate" } ], "majorSkills" : "Cloud Infrastructure, Business Continuity, Disaster Recovery, Kubernetes", "majorSkillsList" : [ "Cloud Infrastructure", "Business Continuity", "Disaster Recovery", "Kubernetes" ], "coreResponsibilities" : "Maintain and evolve cloud infrastructure, Build systems that scale, Contribute to BCDR initiative, Implement multi-region infrastructure readiness, Implement automated failover capabilities, Drive technical excellence, Automate infrastructure lifecycle, Improve infrastructure lifecycle, Collaborate with product teams, Collaborate with engineering teams, Ensure adoption of new infrastructure, Support migrations, Participate in on-call rotation, Improve incident response frameworks, Improve system reliability, Improve work tracking, Improve documentation, Improve operational best practices", "teamCollaboration" : "Cross-functional teams; Across the organization; Multiple autonomous engineering teams", "domainKnowledge" : "Cloud infrastructure; Business Continuity; Disaster Recovery; Multi-region infrastructure; Automated failover; Infrastructure lifecycle; Scalable systems", "domainList" : [ "cloud-infrastructure", "business-continuity", "disaster-recovery", "multi-region-infrastructure", "automated-failover", "infrastructure-lifecycle", "scalable-systems" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "Business Continuity", "Disaster Recovery", "Multi-region infrastructure", "Automated failover", "Infrastructure lifecycle", "Scalable systems" ], "toolProficiency" : [ "Terraform", "Docker", "Flux", "Go" ], "communicationSkills" : "Coordinate complex changes", "documentationSkills" : "Documentation improvement", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "On-call rotation, Three coordinated days in office", "qualificationsBasic" : "Proven experience with cloud infrastructure foundations, Kubernetes experience, Postgres experience, Experience with incident response, Maintaining highly available production systems, Hands-on experience with AWS services, Infrastructure-at-scale experience, Communication skills, Professional experience in software or systems engineering, Focus on building scalable systems", "qualificationsPreferred" : "Experience using Terraform, Manage complex, multi-account environments, Prior experience with BCDR planning, Multi-region rollouts experience, Disaster recovery frameworks experience, Cloud infrastructure cost optimization background, Database performance tuning background, Experience with Go", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders. What you'll do As a Software Engineer II on the Cloud Infrastructure team, you will join a highly competent, senior group of engineers responsible for the foundational AWS ecosystem that powers Brex. Your primary focus will be working on our high-priority Business Continuity and Disaster Recovery (BCDR) initiative to completion, a critical company-level priority that ensures multi-region infrastructure resilience. You will work across Kubernetes, networking, and databases to build systems that scale with speed and intention, while collaborating with teams across the entire organization to drive the adoption of modern cloud infrastructure changes. Where you'll work This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week: Monday, Wednesday, and Thursday. As a perk, we also have up to four weeks per year of fully remote work. Responsibilities Build and Scale: Maintain and evolve Brex’s core cloud infrastructure, including Kubernetes (EKS), RDS/Postgres, and networking foundations. Execute BCDR Strategy: Contribute to the multi-year BCDR initiative by implementing multi-region infrastructure readiness and automated failover capabilities. Technical Ownership: Drive technical excellence across the stack, utilizing tools like Terraform, Docker, Flux, and Go to automate and improve infrastructure lifecycle. Cross-Functional Partnership: Collaborate with product and engineering teams to ensure seamless adoption of new infrastructure capabilities and support migrations. Incident Response: Participate in the team’s on-call rotation and contribute to improving our incident response frameworks and system reliability. Operational Hygiene: Foster a culture of technical excellence by improving work tracking, documentation, and operational best practices. Requirements Technical Foundation: Proven experience with cloud infrastructure foundations, specifically Kubernetes and Postgres. Operational Expertise: Experience with incident response and maintaining highly available production systems. Public Cloud Depth: Strong hands-on experience with AWS services and infrastructure-at-scale. Collaborative Mindset: Strong communication skills with the ability to coordinate complex changes across multiple autonomous engineering teams. Engineering Background: Professional experience in software or systems engineering, with a focus on building scalable systems. Bonus Points Infrastructure as Code: Experience using Terraform to manage complex, multi-account environments. Resiliency Engineering: Prior experience with BCDR planning, multi-region rollouts, or disaster recovery frameworks. Optimization: Background in cloud infrastructure cost optimization or database performance tuning. Language Proficiency: Experience with Go, as it is a core part of our tech stack. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.", "summaryDescription" : "Software Engineer II, Cloud Infrastructure at Brex. Skills: Cloud Infrastructure, Business Continuity, Disaster Recovery, Kubernetes. Maintain and evolve cloud infrastructure. Build systems that scale", "postedDate" : "2026-06-14T04:19:56.470", "createdAt" : "2026-06-14T04:19:56.470", "lastUpdated" : "2026-06-15T07:13:41.895", "ingestTimestamp" : "2026-06-14T04:19:56.470", "mongoId" : "6a2ca63b74d8ee00a09ba42b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Infrastructure automation", "Failover capabilities", "Infrastructure lifecycle management", "Cloud Infrastructure", "Business Continuity", "Disaster Recovery", "Kubernetes", "Technical ownership", "Cross-functional partnership", "Operational hygiene", "Cloud infrastructure", "Multi-region infrastructure", "Automated failover", "Infrastructure lifecycle", "Scalable systems", "Terraform", "Docker", "Flux", "Go" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 619.608, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a308757f292fd229c087fde", "title" : "Cloud Infrastructure Engineer", "company" : "RefinedScience", "industry" : "Biotech", "salary" : { "min" : 110000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Aurora, CO", "locations" : [ "Aurora", "CO" ], "certifications" : [ "Google Cloud Professional certification" ], "timestamp" : "2026-06-16T11:59:18.472", "fingerprint" : "050b3612bc2e9645b776f246e1624582a41c7293a654ce3176ebe1626cad879a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/refinedscience/jobs/5262462008", "externalId" : "5262462008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Aurora", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7401441,-104.8733376" } ], "locationText" : "Aurora, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "GCP, Infrastructure as code, VPCs, Load balancers, DNS, Cloud Router, NAT, Firewall rules, GCE instances, Cloud Run, CI/CD pipelines, GitHub Actions, Google Cloud Build, Observability infrastructure, Metrics collection, Log aggregation, Dashboards, Backup, Disaster recovery, Containerization, Kubernetes, Python", "professionalSkills" : [ "Infrastructure platform support", "Scalable deployments", "Secure infrastructure", "Reliable infrastructure", "Containerized workload deployments", "Cross-functional collaboration", "Technical documentation", "Architecture diagrams" ], "hardSkillsList" : [ "Cloud networking", "Compute resource management", "Deployment pipeline management", "Observability infrastructure design", "Security control implementation", "Containerization best practices", "Infrastructure automation" ], "softSkillsList" : [ "Independent work", "Collaborative work" ], "hardSkills" : [ { "name" : "Cloud networking", "level" : "intermediate" }, { "name" : "Compute resource management", "level" : "intermediate" }, { "name" : "Deployment pipeline management", "level" : "intermediate" }, { "name" : "Observability infrastructure design", "level" : "intermediate" }, { "name" : "Security control implementation", "level" : "intermediate" }, { "name" : "Containerization best practices", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent work" }, { "name" : "Collaborative work" } ], "majorSkills" : "Cloud Infrastructure, Infrastructure as Code, CI/CD, GCP", "majorSkillsList" : [ "Cloud Infrastructure", "Infrastructure as Code", "CI/CD", "GCP" ], "coreResponsibilities" : "Design cloud infrastructure on GCP, Implement cloud infrastructure on GCP, Manage cloud networking components, Manage cloud compute resources, Build CI/CD pipelines, Maintain CI/CD pipelines, Design observability infrastructure, Maintain observability infrastructure, Implement security controls, Maintain compliance controls, Manage cloud services, Support internal applications deployment, Support internal applications maintenance, Champion containerization best practices, Support containerized workload deployments, Collaborate with cross-functional teams, Troubleshoot cloud infrastructure issues, Resolve cloud infrastructure issues, Troubleshoot deployment issues, Resolve deployment issues, Create technical documentation, Maintain technical documentation, Create runbooks, Maintain runbooks, Create architecture diagrams, Maintain architecture diagrams, Stay current with cloud trends, Evaluate new tools", "teamCollaboration" : "Software development teams; Data science teams; Clinical teams; Informatics teams; Cross-functional teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Regulated research environment; Healthcare research; HIPAA compliance", "domainList" : [ "regulated-research-environment", "healthcare-research", "hipaa-compliance" ], "domainSpecificKnowledge" : [ "Regulated research environment", "Healthcare research", "HIPAA compliance" ], "toolProficiency" : [ "Terraform", "Pulumi", "GitHub Actions", "Google Cloud Build", "Prometheus", "Grafana", "Kubernetes" ], "communicationSkills" : "Technical documentation; Clear technical documentation", "documentationSkills" : "Technical documentation; Runbooks; Architecture diagrams", "continuousLearning" : "Stay current with cloud technology trends; Evaluate new tools and approaches", "innovationCreativity" : "Evaluate new tools and approaches", "problemSolvingSkills" : "Troubleshoot and resolve issues", "qualificationsBasic" : "Bachelor's degree in Computer Science, Cloud engineering experience, Infrastructure engineering experience, Linux administration, Infrastructure as code experience, CI/CD pipelines experience, Cloud networking knowledge, Metrics collection experience, Operational dashboards experience, Scripting or automating infrastructure tasks, Written communication skills, Verbal communication skills, Technical documentation production", "qualificationsPreferred" : "Healthcare or life sciences experience, HIPAA compliance knowledge, GCP-native observability tooling experience, Prometheus/Grafana experience, Cloud IAM best practices experience, Security controls experience, Front-end application hosting infrastructure experience, Google Cloud Professional certification, Containerization technologies familiarity, Kubernetes exposure", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Cloud Infrastructure Engineer At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a Cloud Infrastructure Engineer to join our team. You will be responsible for designing, implementing, and maintaining cloud-based infrastructure and automation to meet the evolving needs of our organization. The ideal candidate has hands-on cloud engineering experience, is proficient with infrastructure as code, and is comfortable owning cloud networking, compute, and deployment pipelines in a regulated research environment. A key part of this role is serving as the infrastructure platform support layer for our software development and data science teams — helping them build, deploy, and observe their work reliably and at scale. You will collaborate closely with our development, data science, clinical, and informatics teams to deliver scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP). KEY ACTIVITIES Design and implement cloud infrastructure on GCP using infrastructure as code Manage cloud networking components including VPCs, load balancers, DNS, Cloud Router, NAT, and firewall rules Manage and optimize cloud compute resources including GCE instances, Cloud Run, and related services Build and maintain CI/CD pipelines using tools such as GitHub Actions or Google Cloud Build to support reliable, repeatable deployments Design and maintain observability infrastructure including metrics collection, log aggregation, and dashboards to surface actionable insights for engineering and research teams Implement and maintain security and compliance controls appropriate to a regulated healthcare research environment Manage cloud services including backup and disaster recovery Support deployment and maintenance of internal applications and their underlying infrastructure Champion containerization best practices and support containerized workload deployments Collaborate with cross-functional teams to ensure seamless integration with existing systems and workflows Troubleshoot and resolve cloud infrastructure and deployment issues Create and maintain clear technical documentation, runbooks, and architecture diagrams Stay current with cloud technology trends and evaluate new tools and approaches relevant to the organization MUST HAVES Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience Experience in cloud engineering, infrastructure engineering, or a closely related role Strong proficiency with GCP; equivalent experience with AWS or Azure will be considered Linux administration and comfort working in Linux-based environments via command line Hands-on experience with infrastructure as code with Terraform and or Pulumi Demonstrated experience building and maintaining CI/CD pipelines (GitHub Actions, Google Cloud Build, or similar) Solid understanding of cloud networking: VPC design, load balancers, DNS, NAT, and firewall rule management Hands-on experience with metrics collection and building operational dashboards Experience scripting or automating infrastructure tasks in Python or a similar language Strong written and verbal communication skills with an ability to produce clear technical documentation Ability to work both independently and collaboratively within a cross-functional team NICE TO HAVES Experience in a healthcare or life sciences environment; working knowledge of HIPAA compliance requirements Experience with GCP-native observability tooling (Cloud Monitoring, Cloud Logging) in addition to Prometheus/Grafana Experience with cloud IAM best practices and security controls (VPC Service Controls, service accounts, least-privilege patterns) Experience with front-end application hosting infrastructure (load balancers, SSL/TLS termination, CDN) Google Cloud Professional certification (Cloud Architect, DevOps Engineer, or similar) Familiarity with containerization technologies, primarily Docker; Kubernetes exposure is a plus but not required WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values Act with Purpose – We believe in rigor through deliberate and thoughtful actions Be Curious – Curiosity is the spark that ignites innovation and growth Take Ownership – True ownership leads to pride and commitment in the work we do Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success Embrace Agility – We celebrate agile thinking, resilience, and adaptability WHAT WE OFFER The target salary range is $110,000 to $130,000 annually. Base pay offered may vary within the posted range based on several factors, including but not limited to education, job-related knowledge, skills, experience, and location. BENEFITS Medical, Dental and Vision insurance Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered) HSA Spending Accounts 22 Vacation days 10 Paid Holidays and Sick Time (120 hours per year) 401(K) Plan", "summaryDescription" : "Cloud Infrastructure Engineer at RefinedScience. Skills: Cloud Infrastructure, Infrastructure as Code, CI/CD, GCP. Design cloud infrastructure on GCP. Implement cloud infrastructure on GCP", "postedDate" : "2026-06-16T01:21:04.442", "createdAt" : "2026-06-16T01:21:04.442", "lastUpdated" : "2026-06-16T11:59:18.472", "ingestTimestamp" : "2026-06-16T01:21:04.442", "mongoId" : "6a308757f292fd229c087fde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Cloud networking", "Compute resource management", "Deployment pipeline management", "Observability infrastructure design", "Security control implementation", "Containerization best practices", "Infrastructure automation", "Independent work", "Collaborative work", "Cloud Infrastructure", "Infrastructure as Code", "CI/CD", "GCP", "Infrastructure platform support", "Scalable deployments", "Secure infrastructure", "Reliable infrastructure", "Containerized workload deployments", "Cross-functional collaboration", "Technical documentation", "Architecture diagrams", "Agile", "Regulated research environment", "Healthcare research", "HIPAA compliance", "Google Cloud Professional certification", "Terraform", "Pulumi", "GitHub Actions", "Google Cloud Build", "Prometheus", "Grafana", "Kubernetes" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 611.32227, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "69fad2854c40e2acd1808a6e", "title" : "Software Engineer, Server Infrastructure", "company" : "Bear Robotics", "industry" : "Technology", "salary" : { "min" : 7.5E7, "max" : 1.05E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Seoul, South Korea, adjusted for the Technology industry and company size." }, "location" : "Seoul, KR", "locations" : [ "Seoul", "KR" ], "timestamp" : "2026-06-15T11:48:47.270", "fingerprint" : "c1b15538c1abd27b1cc1148dd5b4fdd7f096731256c43ab6ed3e7c814f71aacb", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bear-robotics.breezy.hr/p/d011d83065e1-software-engineer-server-infrastructure", "externalId" : "d011d83065e1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Role: Software Engineer, Server Infrastructure Location: Seoul, Korea Reporting to: SWE, Integration Team Manager **English CV must be submitted. Apply to join the Bear Team!", "summaryDescription" : "Software Engineer, Server Infrastructure at Bear Robotics", "createdAt" : "2026-06-14T00:54:56.747", "lastUpdated" : "2026-06-15T11:48:47.270", "ingestTimestamp" : "2026-06-14T00:54:56.747", "mongoId" : "69fad2854c40e2acd1808a6e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "_score" : 611.02124, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dbff292fd229cf69ebb", "title" : "Software Engineer", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in Chennai, India, adjusted for the technology industry and company size." }, "location" : "Chennai, TN, IN", "locations" : [ "Chennai", "TN", "IN" ], "certifications" : [ "AWS Certified Solutions Architect", "Certified Kubernetes Administrator (CKA)" ], "timestamp" : "2026-06-16T10:35:58.092", "fingerprint" : "ba077b7ba1bb8a9af98f3a64d30d715d23338181a3e6c8fa485661ead0681360", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132222948-software-engineer-3-5-years-with-python-fast-api-angular-restful-api-postgresql-experience-", "externalId" : "744000132222948", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "B. S. degree", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Go, Java, JavaScript, React, Node.js, AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, SQL, NoSQL, CI/CD, REST APIs", "professionalSkills" : [ "System design", "Architecture design", "Problem solving" ], "hardSkillsList" : [ "Cloud computing", "DevOps practices", "Infrastructure automation", "Container orchestration", "API development", "Database management" ], "hardSkills" : [ { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" } ], "majorSkills" : "Cloud Engineering, DevOps, Software Development", "majorSkillsList" : [ "Cloud Engineering", "DevOps", "Software Development" ], "coreResponsibilities" : "Design and implement scalable cloud infrastructure, Develop and maintain CI/CD pipelines, Automate infrastructure provisioning and management, Deploy and manage containerized applications, Monitor system performance and troubleshoot issues, Collaborate with development teams, Ensure security best practices, Optimize cloud resource utilization", "teamCollaboration" : "Cross-functional teams; Development teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Cloud infrastructure; DevOps principles; Containerization technologies; Infrastructure as code", "domainList" : [ "cloud-infrastructure", "devops-principles", "containerization-technologies", "infrastructure-as-code" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "DevOps principles", "Containerization technologies", "Infrastructure as code" ], "toolProficiency" : [ "AWS", "Azure", "GCP", "Docker", "Kubernetes", "Terraform", "Ansible", "Git", "JIRA" ], "communicationSkills" : "Technical documentation; Team communication", "documentationSkills" : "Technical documentation; Architecture diagrams", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Process improvement; New technology adoption", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; System optimization", "outcomesObjectives" : "Improve system reliability; Reduce deployment times; Enhance infrastructure security", "qualificationsBasic" : "3-5 years of experience, Bachelor's degree in Computer Science, Experience with cloud platforms, Experience with CI/CD, Experience with containerization", "qualificationsPreferred" : "Master's degree, Experience with Kubernetes, Experience with infrastructure as code", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Key Responsibilities: * Develop and maintain scalable backend services using Python and FastAPI. * Design and implement responsive user interfaces using Angular. * Integrate frontend components with backend APIs and internal services. * Write clean, maintainable, and well-documented code following best development practices. * Participate in system design discussions and contribute to architectural decisions. * Identify, troubleshoot, and resolve technical issues in a timely manner. * Collaborate with cross-functional teams including product, QA, and DevSecOps. * Ensure application performance, security, and scalability. ## Qualifications Required Qualifications: * 3 to 5 years of professional experience in full stack development. * Strong experience with Python backend development, preferably using FastAPI. * Hands-on experience in Angular framework for frontend development. * Solid understanding of RESTful API development and integration. * Experience with PostgreSQL relational databases. * Proficiency in Git version control system. * Good understanding of web technologies including HTML, CSS, JavaScript, and TypeScript. * Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) * Demonstrated ability to work as part of a Global Team * Strong troubleshooting and problem-solving skills * Experience working in an Azure Environment mainly deployment of code as docker container on AKS. Distributed deployment on AKS, debug containers, AKS load balancer. * Certifications in Azure and or Agile would give additional weightage. * Fundamental understanding of testing methodologies and frameworks * Experience using Atlassian tool suite, including JIRA, Confluence * Minimum B.S. degree in Computer Science, Computer Engineering or related field ## Additional Information Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Software Engineer at NielsenIQ. Skills: Cloud Engineering, DevOps, Software Development. Design and implement scalable cloud infrastructure. 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Engineering teams; Security teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "Cloud computing; Distributed systems; Network security; Application security; Infrastructure security", "domainList" : [ "cloud-computing", "distributed-systems", "network-security", "application-security", "infrastructure-security" ], "domainSpecificKnowledge" : [ "Cloud computing", "Distributed systems", "Network security", "Application security", "Infrastructure security" ], "toolProficiency" : [ "Docker", "Kubernetes", "Terraform", "CI/CD tools" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Enhance security posture; Reduce security risks; Ensure compliance", "qualificationsBasic" : "Bachelor's degree in Computer Science, 5+ years of experience in software development, Experience with cloud computing platforms, Experience with distributed systems, Experience with security best practices", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale distributed systems, Experience with security automation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The AWS Infrastructure Security team builds tools and services for the monitoring and responsing to malicious activity on the Amazon internal network. We collect data from all parts of Amazon's worldwide, service-oriented infrastructure. We are looking for a Software Development Engineer who is excited about designing and building solutions to solve challenging problems for mission critical systems that protect Amazon and our customer data. In AWS Infrastructure Security our challenges are broad and deep -- we build flexible, secure, scalable, high-performance and robust tools and services. You will help implement, operate, and improve current services as well as build new features to improve the customer experience and make it easier/faster/cheaper for the customer to get what they need. In AWS, we obsess over our customers, and their trust is our first priority. Trust is earned by building a highly respected security service to tackle new challenges at a large scale. In this role, you will deliver high quality, scalable logging solutions to support Petabytes of data deployed around the world. You will collaborate with product owners and customers to deliver the best features, using resources and technologies efficiently. You will also help to engage other teams to onboard their services for data ingestion into the platform, aide in the tooling for analysis of the data, as well as transforming the data when needed to make it useful. You are detail driven and have excellent problem solving abilities. The successful candidate is passionate about delivering extensible, on-time solutions and has experience working within a high-performance team. On-Call Responsibility This position involves on-call responsibilities. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Key job responsibilities The AWS Infrastructure Security team is seeking an innovative, high-energy and customer-obsessed Software Development Engineer to build critical security systems at scale. We value performance, simplicity, and scalability in our designs. In your day-to-day work you will focus on the development of solutions to collect and process security logs from a wide range of internal and third party systems. A day in the life Design, implement, test, deploy and support innovative solutions to improve service performance, durability, cost, and security. Use data to measure success and take responsibility for the quality of your service and strive to prevent faults from impacting our customers. Influence and partner with internal teams to successfully deliver on behalf of our customers. Develop simple, repeatable processes that are well documented. Learn from others and coach, hire, and develop team members to achieve their best. About the team At AWS Infrastructure Security, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across the internal Amazon network. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Basic Qualifications: - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience building complex software systems that have been successfully delivered to customers - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience in computer architecture, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Experience building and operating a cloud-based architecture - Experience in managing and troublshooting network, or experience in Linux and Networking protocols and experience with network troubleshooting tools (telnet, test-netconnection, tracert, tracetcp, iperf, ntttcp, dig, and packet capture tools) - Experience with security equipment such as intrusion detection devices, access control systems, etc. 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" : "Software Development Engineer, AWS Infrastructure Security at Amazon Development Centre Ireland Limited. Skills: Cloud security, Distributed systems, Software development. Design and implement secure cloud infrastructure. Develop and maintain security automation tools", "postedDate" : "2026-06-14T20:07:40.887", "createdAt" : "2026-06-14T20:07:40.887", "lastUpdated" : "2026-06-16T03:07:51.156", "ingestTimestamp" : "2026-06-14T20:07:40.887", "mongoId" : "69e1043d2beec4dd3def2156", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387406/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "Cloud architecture", "Security engineering", "Cloud security", "Distributed systems", "System design", "Problem solving", "Analytical skills", "Agile methodologies", "Cloud computing", "Network security", "Application security", "Infrastructure security", "AWS Certified Security - Specialty", "Azure Security Engineer Associate", "Google Professional Cloud Security Engineer", "Docker", "Kubernetes", "Terraform", "CI/CD tools" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 608.73083, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 85057, "totalPages" : 1702, "hasNext" : true, "hasPrevious" : false } }

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