AWS Lead Software Engineer

JPMorgan Chase & Co.•New York, NY

13h•$156,750 - $215,000

About The Position

As a Full Stack Java / Typescript / 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.

Requirements

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

Nice To Haves

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

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