Lead Software Engineer - Java​/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 JPMorgan Chase within the Connected Commerce technology offers and shopping team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

• Responsible for design and development of enterprise software applications.
• Works with different stakeholders to review business requirements, architecture and design.
• Involves in coding, pair programming and code reviews.
• Writes unit tests and software automation.
• 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.
• Supports Integration, UAT, and Performance testing.
• Releases software on UAT and production;
  Participate in production support and application monitoring.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing web-based applications using J2EE technology.
• Experience using Spring framework for building enterprise java applications.
• Experience in developing Rest APIs.
• Experience in using Oracle, Cassandra databases.
• Experience using Blaze Meter, Splunk, Dynatrace
• Experience in manual testing using Postman/SoapUI.
• Experience using Swagger tool to create the API specifications.
• Experience in using Agile Scrum methodology for tracking the team work.
• 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 practices

• Exposure to AWS cloud technologies
• Experience in using Kafka for data streaming.
• AWS or Cloud certifications
• Experience in Temporal Durable Execution technology
• Experience writing automation tests using Cucumber framework
• Cloud Foundry experience for developing and managing the web application.
• Understands best practices for CI/CD, Applicant Resiliency, and Security