Senior Lead Software Engineer - Python Backend Developer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer - Python Backend Developer at JPMorgan Chase within the Commercial & Investment Bank, you'll be an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

We are building the next generation of trade structuring tools and components needed by teams across Markets and used globally by our trading desks and support teams. This position will work closely with our Athena Trade Risk & Services function, as a member of a highly skilled, agile development team.

Job responsibilities

• Write awesome, high quality Backend Python code following the principles of SOLID, YAGNI and KISS
• Participate in requirements meetings with our users and propose technical solutions
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

  
  
• Evangelize and seek new opportunities for our product to be used by other development teams not already using the platform.
• Complete full lifecycle development projects as well as post-production maintenance and enhancements
• Support other development teams using our components by answering questions, researching system issues, identifying root causes, and resolving problems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong technology background with experience in object-oriented programming, test driven development viz Python.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong 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 coaching senior engineers/leads on compliant usage patterns and controls.
• Experience in building and debugging application build on distributed computing architecture.
• Good understanding of event based architecture.
• Strong Analytical and problem-solving skills.
• Good interpersonal skills and able to work effectively in a global team.
• Self-starter and willing to work in a dynamic environment with constantly evolving priorities.
• Knowledge of AWS.
• Hands-on, delivery-focused, technical position involving a lot of analysis, coding, testing and interfacing with our end users. There will be a high degree of teamwork and technical peer interaction involved.

• Knowledge of GraphQL is good to have.
• A good knowledge of Investment Banking and Markets is highly desirable but a thirst for knowledge and the knack to apply that knowledge is just as good to us.