Lead Software Engineer - Java/Python/AI/AWS

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 Commercial & Community Banking, Marketing Tech you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities:

• Design, build, and maintain an AI agent platform that integrates with approved models/APIs (no model training), supporting orchestration, tool-use, guardrails, and evaluation.
• Execute creative software solutions across design, development, and technical troubleshooting; break down complex problems beyond routine approaches.
• Build and manage cloud-native infrastructure on AWS using scalable compute and event-driven patterns (e.g., containers on ECS, serverless where appropriate, event/messaging with EventBridge/SNS/SQS) to support agent runtimes and workflows.
• Develop secure, high-quality production code in Python and Java; review, debug, and improve code written by others.
• Deliver full-stack capabilities end-to-end, including backend services/APIs and React-based UI components where needed for agent-driven applications.
• Build and maintain service interfaces and integrations (REST APIs, authN/authZ, audit/logging patterns) required for agent-driven applications.
• Build reusable agent components (prompting patterns, tool connectors, policy/guardrail hooks, logging/tracing) to accelerate delivery across teams.
• Automate build, deployment, testing, and release processes within the SDLC toolchain (CI/CD, controls, runbooks, change management).
• Drive team adoption of enterprise-authorized AI-assisted engineering practices, improving code quality and delivery speed while enforcing validation standards (secure coding, peer review, automated testing).
• Mentor and guide engineers through design reviews, code reviews, and engineering best practices; contribute to continuous improvement.
• Monitor platform and agent service health (latency, reliability, cost); identify and resolve performance and stability issues; eliminate recurring issues via root-cause fixes or automated remediation.

Required qualifications, capabilities, and skills:

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability for production systems.