Sr Lead Software Engineer- Cloud Infrastructure; AWS + Full-Stack

As a Senior Lead Software Engineer at JPMorgan

Chase with in Corp Sector, you are part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across a variety of technologies to support one or more of the firm's portfolios.

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Owns the end-to-end architecture of a distributed, multi-tenant platform that must run identically in cloud SaaS and in a customer's own isolated AWS environment — backend APIs, data-collection and ingestion workloads, data-pipeline jobs, and the customer-facing dashboard
• Establishes the security- and privacy-by-design bar for the platform (data residency, control-plane / data-plane separation, least-privilege IAM, default-deny egress, signed and verified artifacts) and holds the organization to it
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability, with demonstrated experience leading and mentoring technologists
• Advanced in one or more programming language(s) — Java/Python and/or JavaScript/Type Script strongly preferred, given a backend built on Django + FastAPI and a React single-page front end
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Advanced proficiency in automation and continuous delivery methods, and in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Ability to tackle design and functionality…