Software Engineer III (Full Stack Java)

JPMorganChase; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in the Business Banking division to join an agile team delivering trusted market-leading technology solutions. You will design and implement backend services, microservices, and cloud-native architectures that are secure, scalable, and resilient.

You will work with AWS services, CI/CD, and AI-assisted tooling to elevate code quality and delivery speed. Ideal candidates have strong full-stack experience with Java, Spring Boot, Spring Cloud, and

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Full-stack development experience with Java, Spring Boot, Spring Cloud, TypeScript, JavaScript.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• 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
• Apply 12-factor app principles and best practices for cloud-native development
• Design and execute performance and load tests using JMeter or Blazemeter
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

Skills

Java

Spring Boot

Spring Cloud

TypeScript

JavaScript

AI-assisted tools

Education

Formal training or certification in software engineering

Tools

AWS

ECS

EKS

Lambda

EC2

JMeter

Blazemeter

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Business Banking division, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• 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
• Apply 12-factor app principles and best practices for cloud-native development
• Design and execute performance and load tests using JMeter or Blazemeter
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Full-stack development experience with Java, Spring Boot, Spring Cloud, TypeScript, JavaScript
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Agent2UI, A2A protocol
• Experience troubleshooting, debugging, and resolving issues in multi-agent environments
• Python programming