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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As a Sr Lead Software Engineer- Java Back End, AWS within the Asset & Wealth Management division, you will join an agile team to build and deliver secure, stable, and scalable technology products. You will provide technical guidance, develop high-quality production code, and drive the adoption of AI-assisted engineering practices across the software development life cycle. Your daily work involves making critical decisions regarding product design, application functionality, and technical operations while serving as a subject matter expert. The role requires expert-level backend engineering in Java using Spring Boot, Spring Integration, and Hibernate/JPA, or Python, alongside strong SQL and data modeling for relational and NoSQL systems. You will utilize AWS services like ECS, EKS, Lambda, Aurora, DynamoDB, S3, and Glue, while managing Apache Kafka streams and navigating complex distributed systems within a regulated financial services environment.
Develop secure, high-quality production code while reviewing and debugging code written by other team members.
Provide technical guidance and direction to support business goals and technical teams.
Drive the adoption and governance of AI-assisted engineering practices across multiple teams.
Establish measurable validation standards for secure coding, peer reviews, and automated testing.
Influence product design, application functionality, and technical operations processes.
Serve as a subject matter expert in specific technology areas to guide firmwide initiatives.
Design, deploy, and operate cloud-native systems using AWS services like ECS, Lambda, and Aurora.
Implement distributed systems patterns using Apache Kafka for stream processing and data consistency.
What we're looking for
Formal training or certification in software engineering concepts and 5+ years of applied experience.
Experience developing or leading large or cross-functional teams of technologists.
Expert-level backend engineering in Java (Spring Boot, Spring Integration, Hibernate/JPA) and/or Python with strong SQL and data modeling skills.
Deep AWS experience across ECS/EKS, Lambda, Aurora, DynamoDB, S3, Glue, and CloudWatch to design and operate cloud-native systems.
Hands-on Apache Kafka experience including topic design, consumer group management, and stream processing patterns.
Solid grasp of distributed systems fundamentals such as consistency models, CAP trade-offs, and distributed transactions.
Strong CI/CD and test engineering practice for building pipelines and writing tests.
Experience leading multi-organization adoption of agentic AI-enabled engineering operating models and understanding of responsible AI risk (preferred).