Software Engineer II - Java, Aws, AI

JPMorgan Chase JPMorgan Chase · Banking · Charlotte, NC +1 · Commercial & Investment Bank

Software Engineer II with Java, AWS, and AI focus within JPMorgan Chase's Commercial Real Estate Technology Group. The role involves enhancing, designing, and delivering software components, writing secure code, troubleshooting, and supporting the integration of AI/GenAI capabilities into applications. Requires formal training/certification in Java and 2+ years of experience, with strong skills in Java, Python, ReactJS, Spring Boot, REST services, microservices, and relational databases. Experience with agile methodologies and cloud environments (AWS) is also expected.

What you'd actually do

  1. Executes standard software solutions, design, development, and technical troubleshooting
  2. Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  3. Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  4. Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
  5. Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity

Skills

Required

  • Java software engineering concepts
  • system design
  • application development
  • testing
  • operational stability
  • Java
  • Python
  • ReactJS
  • Spring Boot
  • web development
  • REST service
  • microservice development
  • modern front-end technologies
  • React
  • Micro Front-End concepts
  • relational databases
  • SQL fundamentals
  • coding in one or more languages
  • large corporate environment
  • modern programming languages
  • database querying languages
  • agile methodologies
  • CI/CD
  • Application Resiliency
  • Security
  • software applications
  • technical processes

Nice to have

  • Agentic AI / GenAI / AI/ML concepts
  • cloud-based applications on AWS Cloud environments
  • containers
  • DevOps
  • CI/CD process
  • modern front-end technologies
  • cloud technologies
  • cloud-native patterns

What the JD emphasized

  • AI/GenAI capabilities into applications
  • prompt-based workflows
  • orchestration patterns
  • model-backed services