Python Software Engineer III

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 Corporate Sector- Market Risk team, 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
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- 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.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- 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

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 3+ years applied experience
- Hands-on experience across the SDLC, including system design, application development, testing, and operational stability.
- Advanced Python experience (e.g., Pandas, NumPy) developing, debugging, and maintaining enterprise-scale codebases, with proficiency in SQL and database querying.
- Hands-on experience with enterprise-authorized AI dev tools (coding/testing/troubleshooting/docs), with proven ability to validate and refine AI outputs for correctness, performance, and security.
- Understanding of responsible AI in engineering (data sensitivity, secure input/output handling, resiliency/security), with the ability to guide peers on safe, effective team usage.
- Solid understanding of agile methodologies such as Application Resiliency, and Security
- Possess good communication skills engage with stakeholders
- Exposure to Banking/Finance or Risk domains

Preferred qualifications, capabilities, and skills

- Experience with front end technologies including React, Javascript, Typescript
- Experience with data mesh technology and systems like Databricks is plus
- Ability to tackle functionality problems independently with little oversight