Sr Lead Software Engineer Commodities UK

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

Develops next-gen applications for Commodities trading desks across the globe at JPMorganChase

Develops secure and high-quality production code, and reviews and debugs code written by others

Liaises with users such as Product and Financial Controllers to understand reporting needs, and investigates and resolves reporting issues

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

Leverages agentic development pipelines to build solutions and accelerate delivery

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

Drives decisions that influence the product design, application functionality, and technical operations and processes

Serves as a function-wide subject matter expert in one or more areas of focus

Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience

Experience working with Front Office Trading Desks

High proficiency in Python

Strong problem-solving skills, with the ability to diagnose and resolve complex reporting and system issues

Proven ability to liaise with business users such as Product and Financial Controllers to elicit reporting requirements and translate them into technical solutions

Solid understanding of Risk and PnL reporting infrastructure paradigms and systems

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced in one or more programming language(s)

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 using agentic development pipelines to build and deliver solutions

Ability to tackle design and functionality problems independently with little to no oversight

Practical cloud native experience

Preferred qualifications, capabilities, and skills

Hands-on experience developing on the Athena platform or a comparable Python risk management platform

Domain knowledge of Commodities products and derisking workflows

Experience building or integrating Risk and PnL reporting infrastructure in a Front Office environment

Familiarity with agentic AI development pipelines and their application to production engineering

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security