{"schemaVersion":"jobsearcher.job.v1","id":"52db8125376cc0ded9380daf","url":"https://jobsearcher.com/jobs/52db8125376cc0ded9380daf","canonicalUrl":"https://jobsearcher.com/jobs/52db8125376cc0ded9380daf","title":"Lead Software Engineer Python","description":"Lead Software EngineerWe 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 JPMorgan Chase within the Chief Data and Analytics Office, 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\nExecute creative software solutions, design, development, and technical troubleshooting for AI-enabled applications.\r\nDevelop secure, high-quality production code; review and debug SDK and service integrations.\r\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\r\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\r\nIdentify and automate remediation of recurring issues to improve reliability of AI features and services.\r\nLead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.\r\nLead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.\r\nAdd to team culture of diversity, opportunity, inclusion, and respect.\r\nBuild and ship AI-powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).\r\nImplement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required).\r\nRequired qualifications, capabilities, and skills\r\nFormal training or certification on software engineering concepts and 5+ years applied experience.\r\nDevOps: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms AWS, GCP, Azure\r\nHands-on experience delivering system design, application development, testing, and operational stability.\r\nAdvanced proficiency in Python software engineering skills\r\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\r\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\r\nProficiency in automation and continuous delivery methods; strong unit/integration testing discipline.\r\nProficient in all aspects of the Software Development Life Cycle and secure coding practices.\r\nAdvanced understanding of CI/CD, application resiliency, and security for AI applications.\r\nPractical cloud-native experience.\r\nPreferred qualifications, capabilities, and skills\r\nTerraform is a plus","company":"Chase","rawCompany":"chase","city":"Wilmington","state":"DE","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:19:05.974Z","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 Python","description":"Lead Software EngineerWe 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 JPMorgan Chase within the Chief Data and Analytics Office, 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\nExecute creative software solutions, design, development, and technical troubleshooting for AI-enabled applications.\r\nDevelop secure, high-quality production code; review and debug SDK and service integrations.\r\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\r\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.\r\nIdentify and automate remediation of recurring issues to improve reliability of AI features and services.\r\nLead evaluation sessions with vendors and internal teams on model capabilities, safety, and integration patterns.\r\nLead communities of practice to share prompt engineering, evaluation methods, and SDK best practices.\r\nAdd to team culture of diversity, opportunity, inclusion, and respect.\r\nBuild and ship AI-powered features using AI (Bedrock or Foundry or Vertex AI), including prompt design, function calling, and SDK/REST integrations (no prior experience required).\r\nImplement input/output safety (guardrails, moderation) and comprehensive LLM usage logging/monitoring (no prior experience required).\r\nRequired qualifications, capabilities, and skills\r\nFormal training or certification on software engineering concepts and 5+ years applied experience.\r\nDevOps: CI/CD pipelines, infrastructure as code, containerization/orchestration, observability, and cloud platforms AWS, GCP, Azure\r\nHands-on experience delivering system design, application development, testing, and operational stability.\r\nAdvanced proficiency in Python software engineering skills\r\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\r\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\r\nProficiency in automation and continuous delivery methods; strong unit/integration testing discipline.\r\nProficient in all aspects of the Software Development Life Cycle and secure coding practices.\r\nAdvanced understanding of CI/CD, application resiliency, and security for AI applications.\r\nPractical cloud-native experience.\r\nPreferred qualifications, capabilities, and skills\r\nTerraform is a plus","datePosted":"2026-08-09T01:19:05.974Z","dateModified":"2026-08-09T01:19:05.974Z","hiringOrganization":{"@type":"Organization","name":"Chase","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilmington","addressRegion":"DE","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"52db8125376cc0ded9380daf"},"url":"https://jobsearcher.com/jobs/52db8125376cc0ded9380daf"}}