Lead Software Engineer - Java with Agentic AI

JPMorgan Chase & Co. • Chicago, IL

2d • $137,750 - $185,000

About The Position

As a Lead Software Engineer at JPMorganChase within Consumer & Community Banking, you are an integral part of an agile team that enhances, builds, and delivers trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you conduct critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role focuses on Java and agentic AI, including advancing AI-assisted software engineering practices and leading BDD and SDD adoption across product and engineering teams.

Requirements

• Formal training or certification in software engineering concepts and 8 or more years of applied experience.
• Demonstrated experience leading the effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting expectations for validating outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
• Hands-on experience using AI coding assistants or agents to design, implement, test, and debug production code.
• Proficiency in Core Java, J2EE, and Spring Boot, with strong coding skills.
• Experience with build and deployment processes.
• Knowledge of EKS, Kafka, and message parsers.
• Proficiency across all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

• Experience using AWS EKS and Bedrock.
• Agentic AI approach to automation.

Responsibilities

• Execute creative software solutions, including design, development, and technical troubleshooting, using approaches beyond routine or conventional methods.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards for secure coding, peer review, and automated testing.
• Apply Software Development Life Cycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Lead the rollout of BDD and SDD practices across product and engineering teams.
• Build SDD tooling that derives contract checks, mocks, and validation from machine-readable specifications such as OpenAPI/Swagger, JSON Schema, and AsyncAPI for Kafka.
• Develop secure, high-quality production code and review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve application and system operational stability.
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and applicability to existing systems and information architecture.
• Lead Software Engineering communities of practice to promote awareness and use of new and leading-edge technologies.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed