
Software Engineer III - Python, AWS, GenAI
at J.P. Morgan
Posted a month ago
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- Compensation
- Not specified
- City
- Plano
- Country
- United States
Currency: Not specified
Experienced software engineer role on JPMorgan Chase's Corporate Technology team based in Plano, TX. You will design and deliver secure, scalable production systems as a seasoned member of an agile team using Python full‑stack, cloud-native AWS services (notably EKS), containerization (Docker/Kubernetes) and GenAI-assisted developer tools. Responsibilities include producing high-quality production code, architecture and design artifacts, troubleshooting, and deriving insights from large datasets to improve system resiliency and coding hygiene. Requires 3+ years of Python full-stack experience and familiarity with CI/CD, application security, and operational stability.
Location: Plano, TX, United States
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 JPMorgan Chase within Corporate Technology, 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 break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
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
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.)
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies





