Full Stack Java / Typescript / AI / AWS Lead Software Engineer

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Full Stack Java / Typescript / AI / AWS Lead Software Engineer at JPMorganChase within the Consumer and Community Bank- Business Banking, 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, develop, and maintain backend services, agentic workflows using TypeScript and APIs using Java, and Spring Boot
• Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
• Containerize and deploy applications on AWS using services such as ECS, EKS, Lambda, or EC2.
• Implement and maintain AWS infrastructure using Infrastructure as Code (IaC)
• Implement reactive programming paradigms for high-performance systems
• Drive 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.
• Apply 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.
• Apply 12-factor app principles and best practices for cloud-native development
• Design and execute performance and load tests using JMeter or Blazemeter

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Backend experience Java 21, Springboot, Spring Cloud
• Front end experience with Typescript, JavaScript
• Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
• Implement and maintain AWS infrastructure using Infrastructure as Code (IaC), Lambda. S3, Kafka
• Implements reactive programming paradigms for high-performance systems
• 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
• Apply 12-factor app principles and best practices for cloud-native development
• Design and execute performance and load tests using JMeter or Blazemeter
• CI/CD Jules, Spinnaker, Splunk, Dynatrace observability, Cassandra, DynamoDB, PostgreSQL, ElastiCache

Preferred qualifications, capabilities, and skills:

• Agent2UI, A2A protocol
• Troubleshoot, debug, and resolve issues in multi-agent environments
• Working with LLMs