Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Infrastructure Platforms Digital Workflows Product Line, you will lead delivery of high-quality technical solutions, drive roadmaps and agile execution, mentor engineers, and implement AI-enabled engineering capabilities (including tool functions/skills and MCP servers/agents) within governance, security, and risk controls.

Job responsibilities



* Lead end-to-end design, implementation, and operation of complex platform features and integrations.


* Create technical roadmaps and milestones; drive predictable delivery and continuous team process improvement.


* Develop assistant skills/tool functions with clear interfaces, schemas, validation, error handling, and observability.


* Stand up and operate MCP (Model Context Protocol) servers/integrations and agent patterns to accelerate delivery.


* Establish evaluation checks, guardrails, and monitoring so AI behavior is accurate, safe, and verifiable.


* Drive data readiness and integration practices (modeling, pipelines alignment, quality controls) underpinning AI outcomes.


* Uphold SDLC rigor: secure coding, code reviews, automated testing, CI/CD, and production readiness.


* Mentor junior engineers (technical and soft skills), delegate effectively, and unblock delivery through technical leadership.


* Partner with product and analyst stakeholders on estimates, delivery plans, dependencies, and outcomes.


* 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.

Required qualifications, capabilities, and skills



* Formal training or certification on software engineering concepts and 5+ years applied experience


* Strong proficiency in Java and strong working experience with Python.


* Strong architecture and design skills across systems with sound engineering judgment.


* Strong engineering fundamentals (OOD, design patterns, SOLID) and a quality-first mindset (testing/TDD).


* Strong integration and data fundamentals (SQL/PL-SQL; event messaging such as MQ/Kafka).


* Experience operating production services with CI/CD, observability, and reliability best practices.


* Demonstrated experience leading effective use of approved AI-assisted software developme...