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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - Python/ Java/ AWS - **Company:** JPMorgan Chase & Co. - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Architectural Patterns, Acceptance Test-Driven Development, Automation of Tests, Software Quality, Code Review, Continuous Integration, Data Stores, DevOps, Python (Programming Language), NoSQL, Productivity Software, Software Tools, Swagger, Secure Coding, Software Engineering, Software Systems, Systems Architecture, Strategies of Testing, Toolchain, Openapi, Cloud Platform System, Microsoft Power Automate, Spring Cloud, Event Driven Architecture, Production Code, Restful APIs, Code Restructuring, Microservices - **Published:** August 6, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210771167 ## About the Role * Formal training or certification on software engineering concepts and 5+ years applied software engineering experience * Strong knowledge of modern architectures and patterns, including microservices, REST APIs, event-driven design, and NoSQL data stores. * Experience building cloud-native applications and services; working knowledge of AWS (or comparable cloud platform). * Demonstrated experience delivering at least two large, complex applications end-to-end, from initial build through production delivery (ideally in a large financial institution or world-class product engineering organization). * Working knowledge of CI/CD and DevOps toolchains, observability/monitoring practices, and a test-driven approach within agile delivery models. * Demonstrated 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. * Strong 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 * Advanced understanding of application resiliency and security principles and practices. * Strong technical documentation skills (e.g., API documentation with OpenAPI/Swagger). Familiarity with AI concepts and developer productivity tools (e.g., Microsoft Copilot or similar). * Demonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting) and setting clear team expectations for validating AI outputs for correctness, performance, and security. Preferred Qualifications, Capabilities, and Skills * Experience designing and building high-availability system architectures. * Demonstrated ability to drive engineering process improvements and change adoption, including culture and ways-of-working changes. ## Description As a Lead Software Engineer at JPMorganChase within Asset and Wealth Management Advisor & Investment Technology, you will be a hands-on technical developer responsible for designing, building, and operating critical technology solutions aligned to firm objectives. You will contribute directly to production code, raise engineering standards through review and mentorship, and drive reliability, security, and operational excellence across the software lifecycle. You will also help the team adopt enterprise-authorized AI-assisted engineering practices in a responsible, controlled manner to improve quality and delivery outcomes., * Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems * Develops secure and high-quality production code, and reviews and debugs code written by others * Drives 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. * Applies 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. * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems * Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [For the REST of us: API First and Conway’s Law](https://www.wearedevelopers.com/videos/1932-for-the-rest-of-us-api-first-and-conway-s-law) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)