We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II - Python Developer at JPMorgan Chase within the Commercial & Investment Bank, you'll 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
- 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
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Knowledge of Python language.
- Excellent coding, automated unit testing, refactoring, OOO design.
- Passionate about programming.
- 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.
- Supports BAU operations for Markets businesses like FX, Rates, Credit and SPG, ensuring smooth functionality and addressing any issues that arise.
- Debugs code and fixes production scenarios to maintain operational stability and performance.
- Provides Level 3 (L3) support for production systems, addressing complex issues and ensuring high availability and reliability.
- Collaborates with cross-functional teams to enhance production support processes and improve system performance.
** Preferred qualifications, capabilities, and skills**
- Knowledge of AWS Data Source
- Candidate will be expected to understand the Markets Business and work on flagship product Athena and its Ecosystem gaining expertise to various in-house Athena core frameworks.
- Exposure to Test driven development preferred.
- Previous experience in supporting BAU operations for Markets businesses.
- Proficiency in debugging and fixing production scenarios to ensure system reliability and performance.
- Experience in providing Level 3 (L3) support for production systems, with a focus on resolving complex technical issues.