Software Engineer III - Python, Aws, Genai

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Corporate Sector

Software Engineer III at JPMorgan Chase focused on Python, AWS, and GenAI tools to enhance software development processes. The role involves designing, developing, and troubleshooting technology solutions, with a strong emphasis on leveraging AI coding assist tools for improved code quality, speed, and productivity. Responsibilities include creating secure code, producing architecture artifacts, analyzing data for improvements, and contributing to software engineering communities. The role requires experience with Python full-stack development, containerization (Docker, Kubernetes), AWS services (EKS), agile methodologies, and critically evaluating AI-generated outputs. Understanding of responsible AI use and GenAI fundamentals for developer productivity is also key.

What you'd actually do

  1. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  3. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  4. Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  5. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Skills

Required

  • 3+ years experience Python Full-stack development
  • Proficient in coding in one or more languages
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Experience with containerization technologies (Docker, Kubernetes) and container orchestration in production environments
  • Exposure to cloud-native development and AWS services, particularly AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized applications
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • 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
  • Familiarity with AI-assisted development tools and agentic coding workflows (e.g., GitHub Copilot, Amazon CodeWhisperer) and understanding of GenAI fundamentals for developer productivity
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Nice to have

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

What the JD emphasized

  • critical technology solutions
  • critical
  • critically evaluate
  • responsible AI use
  • secure
  • security