Software Engineer II UI + Python Developer + AI ML

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer II - UI Python Developer AI/ML at JPMorgan Chase within theCommercial & Investment Bank youll 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 firms business objectives.

Job responsibilities

• Executes standard software solution design development and technical troubleshooting
  Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards.
• Designs develops codes and troubleshoots with consideration of upstream and downstream systems and technical implications
• 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
• Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
• Gathers analyzes and draws conclusions from large diverse data sets to identify problems and contribute to decision-making in service of secure stable application development
• Learns and applies system processes methodologies and skills for the development of secure stable code and systems
• Implements UI instrumentation and telemetry to support observability performance monitoring and production troubleshooting
• Contributes to UI development using approved UI toolkits/component libraries and follows established UI engineering standards and patterns.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 2 years applied experience
• Hands-on practical experience in system design application development testing and operational stability
• Experience in developing debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding testing troubleshooting or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations.
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD Application Resiliency and Security
• Strong Python skills with demonstrated experience building and supporting production-grade services tooling or automation.
• Strong UI engineering skills including building modern responsive user interfaces and reusable components.
• Hands-on experience with UI toolkits / component libraries and integrating them into applications.
• Experience implementing telemetry/observability (e.g. logging/metrics/tracing UI performance and user interaction instrumentation) to improve reliability and troubleshooting.

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.
• Good to have AI / ML experience (e.g. exposure to model integration applied ML workflows or AI-enabled feature development).