Lead Software Engineer, Java Microservices/API

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 Corporate Sector - Corporate Technology, 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


* Lead the design, development, and delivery of scalable, secure, cloud-native backend services and RESTful APIs using Java, Spring Boot, and microservice architecture.


* Provide technical leadership across the full software development lifecycle, including architecture, solution design, coding standards, implementation, testing, deployment, observability, and production support.


* 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.


* Drive engineering excellence by producing high-quality production code, performing rigorous code reviews, improving test coverage, and ensuring adherence to secure coding and organizational engineering standards; Design and implement resilient distributed systems that meet performance, scalability, availability, and maintainability requirements.


* Develop and deploy cloud-native services on AWS, leveraging services such as ECS, containerization with Docker, and automated CI/CD delivery practices.


* Design, optimize, and maintain data models, schemas, and queries in PostgreSQL, ensuring data integrity, performance, and scalability across distributed services.


* Produce and review architecture, technical design, and implementation artifacts for complex applications, ensuring alignment with enterprise architecture, security, and operational standards; Identify recurring technical or operational issues and lead automation, remediation, and resiliency improvements to reduce toil and improve application stability.


* Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, testing effectiveness, documentation, troubleshooting, and operational outcomes.


* Establish team standards for validating AI-generated output...