Lead Software Engineer, Java Microservices​/API

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As a Lead Software Engineer at JPMorgan

Chase 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.

• 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 outputs, including secure coding review, correctness checks, performance validation, automated testing, and responsible handling of data;
  Lead technical evaluation sessions with internal stakeholders, vendors, and external partners to assess architecture designs, integration approaches, technical feasibility, and alignment with existing systems.

• Analyze application telemetry, operational data, quality metrics, and delivery patterns to identify trends and drive continuous improvement in engineering practices and system reliability;
  Contribute to engineering communities of practice and support initiatives focused on modern software engineering, cloud-native development, automation, AI-assisted delivery, and emerging technologies.

• Formal training or certification on software engineering…