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 JPMorgan

Chase 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.

• 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.

• 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 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 practice.
• Ability to create roadmaps/milestones, manage dependencies, and execute effectively in agile/scrum environments.
• Track record of mentoring engineers, leading reviews, and raising engineering standards across a team.
• Strong communication and collaboration skills across distributed, cross-functional stakeholders.

• Service Now experience (including familiarity with the Service Now data…