Full Stack Java / Typescript / AWS Lead Software Engineer

JPMorgan Chase & Co.

New York (NY)

On-site

USD 170,000 - 210,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in New York, NY, is seeking a Lead Software Engineer to drive full stack development using Java, TypeScript, and AWS. You will design backend services, implement microservices with Spring Cloud, and containerize workloads on AWS.

The role emphasizes AI-assisted engineering practices and secure, scalable delivery across multiple business functions. The position requires deep experience in Java/Spring, frontend TS/JS, and cloud-native design, with leadership in implementing

Qualifications

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied software engineering experience.
  • Backend experience with Java 21, Spring Boot, Spring Cloud.
  • Frontend experience with Typescript and JavaScript.
  • Experience building microservices with Spring Cloud.
  • Experience in AWS infrastructure via IaC, Lambda, S3, Kafka.
  • Strong reactive programming skills for high-perf systems.
  • Experience leading use of approved AI-assisted development tools and validating AI outputs.
  • Understanding of responsible AI use, data sensitivity, and secure delivery.
  • Follow 12-factor app principles for cloud-native development
  • Design and run performance/load tests with JMeter or Blazemeter
  • CI/CD tooling including Spinnaker, Dynatrace, Splunk; knowledge of databases (Cassandra, DynamoDB, PostgreSQL, ElastiCache)

Responsibilities

  • Design, develop, and maintain backend services and agentic workflows using TypeScript and Java with Spring Boot.
  • Implement microservices with Spring Cloud for service discovery and resilience.
  • Containerize and deploy apps on AWS using ECS, EKS, Lambda or EC2.
  • Implement AWS infrastructure using Infrastructure as Code.
  • Apply reactive programming to high-performance systems.
  • Drive AI-assisted engineering practices to improve code quality and delivery speed.
  • Promote secure coding, peer reviews, automated testing, and reusable patterns.
  • Leverage SDLC tools and AI-assisted automation to improve value.

Skills

Java
Typescript
AWS
Spring Boot
Microservices
Reactive programming
AI-assisted tools

Education

Formal software engineering training or certification

Tools

ECS
EKS
Lambda
S3
Kafka
Cassandra
DynamoDB
PostgreSQL
ElastiCache
JMeter
Blazemeter
Spinnaker
Dynatrace
Splunk
Jules

Job description

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 / 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
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