Software Engineer III (Full Stack)

JPMorgan Chase & Co.•Jersey City, NJ
•$137,750 - $185,000

About The Position

As a Software Engineer III in JPMorganChase’s Business Access & Tools division, you will serve as a seasoned member of an agile team designing and delivering trusted, secure, stable, and scalable technology products. You will develop critical technology solutions across multiple technical areas and business functions in support of the firm’s objectives. The role includes building backend services and agentic workflows with TypeScript and APIs with Java and Spring Boot; implementing microservices and cloud-native applications; deploying and maintaining AWS infrastructure; and producing architecture and design artifacts for complex applications. You will also apply enterprise-authorized AI-assisted development tools responsibly, validate their outputs, and contribute reusable practices to the team. The position involves analyzing data and creating visualizations and reporting to support ongoing application and system improvement.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • Backend experience with Java 21, Spring Boot, and Spring Cloud.
  • Frontend experience with TypeScript and JavaScript.
  • Experience implementing microservices architecture with Spring Cloud for service discovery, configuration, and resilience.
  • Experience implementing and maintaining AWS infrastructure using IaC, Lambda, S3, and Kafka.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations; ability to guide peers on safe and effective use.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies, including CI/CD, application resiliency, and security.

Nice To Haves

  • Agent2UI and A2A protocol.
  • Ability to troubleshoot, debug, and resolve issues in multi-agent environments.
  • Python.

Responsibilities

  • Execute software solution design, development, and technical troubleshooting, including addressing complex problems beyond routine approaches.
  • Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards, and share reusable practices.
  • Design, develop, and maintain backend services, agentic workflows using TypeScript, and APIs using Java and Spring Boot.
  • Implement microservices architecture using 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.
  • Apply 12-factor app principles and cloud-native development best practices.
  • Design and execute performance and load tests using JMeter or BlazeMeter.
  • Use Software Development Life Cycle tools, including authorized AI-assisted development and automation capabilities, to improve automation value.
  • Produce architecture and design artifacts for complex applications and ensure software implementation meets design constraints.
  • Gather, analyze, synthesize, and visualize data from diverse, large datasets to support continuous improvement of software applications and systems.

Benefits

  • Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service