Senior Backend Engineer — Cloud-Native Microservices & AI

JPMorganChase; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in New York to contribute to trusted market-leading technology. You will work in an agile team to design, develop, and deliver backend services and micro-services within a secure, scalable framework.

The role emphasizes AWS deployment, IaC, and enterprise AI-assisted development tooling, with focus on performance, resilience, and secure coding practices across multiple business functions.

Qualifications

• Formal training or certification on software engineering concepts and 3+ 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.
• 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.
• 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
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review and automated testing
• 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)
• Implements 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
• Applies knowledge of tools within the SDLC toolchain to improve automation value
• Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large data sets in service of continuous improvement of software applications and systems

Skills

Java 21

TypeScript

JavaScript

AWS

Spring Boot

Spring Cloud

CI/CD

AI-assisted development tools

Reactive programming

Security best practices

Tools

Spring Boot

Spring Cloud

AWS

Lambda

S3

Kafka

Terraform

Job description

JPMorganChase is seeking a Software Engineer III in New York to contribute to trusted market-leading technology. You will work in an agile team to design, develop, and deliver backend services and micro-services within a secure, scalable framework.

The role emphasizes AWS deployment, IaC, and enterprise AI-assisted development tooling, with focus on performance, resilience, and secure coding practices across multiple business functions.