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# Full Stack Java / Typescript / AWS Lead Software Engineer

- **Company:** JPMorgan Chase & Co.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Cloud Computing, Software Quality, Code Review, Continuous Integration, Software Debugging, Amazon DynamoDB, Apache JMeter, PostgreSQL, Software Tools, Secure Coding, Service Discovery, Software Deployment, Software Engineering, Spinnaker, Strategies of Testing, Toolchain, TypeScript, Spring Cloud, Amazon ElastiCache, Large Language Models, Multi-Agent Systems, Spring-boot, Infrastructure as Code (IaC), Backend, Containerization, Blazemeter, Cassandra, Apache Kafka, Reactive Programming, Splunk, Code Restructuring, Dynatrace, Microservices
- **Published:** August 29, 2026
- **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210781248

## About the Role

* 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

## Description

* 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


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