{"schemaVersion":"jobsearcher.job.v1","id":"512e89671cef0bfab77e64c3","url":"https://jobsearcher.com/jobs/512e89671cef0bfab77e64c3","canonicalUrl":"https://jobsearcher.com/jobs/512e89671cef0bfab77e64c3","title":"Lead Software Engineer - Databricks, ML, Cloud","description":"JobID: 210728850\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-04-27T19:29:20+00:00\r\nJobShift: Day\r\n:\r\nWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs a Lead Software Engineer at JPMorganChase within the Corportate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.\r\nJob responsibilities\r\n\r\nProvide technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team .\r\nWrite secure, high-quality code in Python and/or Java; conduct reviews and mentor engineers to raise code quality and maintainability .\r\nBuild and productionize cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams .\r\nOwn MLOps workflows; coordinate infrastructure and production changes with SRE; ensure resiliency, observability, and security across the ML lifecycle .\r\nApply SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices .\r\nPartner with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives .\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\n\r\nRequired qualifications, capabilities, and skills:\r\n\r\nFormal training or certification on software engineering concepts and 5+ years applied experience.\r\n8+ years of hands-on experience in software engineering, system design, application development, testing, and operational stability .\r\nProficiency in Python and/or Java; strong grounding in secure coding practices .\r\nCloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker; familiarity with TensorFlow is a plus .\r\nExperience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration .\r\nDatabase experience with Oracle and/or Cassandra; familiarity with data modeling and query optimization preferred .\r\nFamiliarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools .\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nBackground with machine learning frameworks, MLOps practices, and end-to-end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection).\r\nExperience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale .","company":"JPMorgan Chase","rawCompany":"jpmorgan chase","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-01T04:30:41.517Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Software Engineer - Databricks, ML, Cloud","description":"JobID: 210728850\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-04-27T19:29:20+00:00\r\nJobShift: Day\r\n:\r\nWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs a Lead Software Engineer at JPMorganChase within the Corportate Sector, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.\r\nJob responsibilities\r\n\r\nProvide technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team .\r\nWrite secure, high-quality code in Python and/or Java; conduct reviews and mentor engineers to raise code quality and maintainability .\r\nBuild and productionize cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams .\r\nOwn MLOps workflows; coordinate infrastructure and production changes with SRE; ensure resiliency, observability, and security across the ML lifecycle .\r\nApply SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices .\r\nPartner with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives .\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\n\r\nRequired qualifications, capabilities, and skills:\r\n\r\nFormal training or certification on software engineering concepts and 5+ years applied experience.\r\n8+ years of hands-on experience in software engineering, system design, application development, testing, and operational stability .\r\nProficiency in Python and/or Java; strong grounding in secure coding practices .\r\nCloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker; familiarity with TensorFlow is a plus .\r\nExperience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration .\r\nDatabase experience with Oracle and/or Cassandra; familiarity with data modeling and query optimization preferred .\r\nFamiliarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools .\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nBackground with machine learning frameworks, MLOps practices, and end-to-end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection).\r\nExperience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale .","datePosted":"2026-06-01T04:30:41.517Z","dateModified":"2026-06-01T04:30:41.517Z","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"512e89671cef0bfab77e64c3"},"url":"https://jobsearcher.com/jobs/512e89671cef0bfab77e64c3"}}