Lead Software Engineer - Trading Platforms

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase, within the Treasury/Chief Investment Office (T/CIO), Corporate Technology teamyou are 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

This new role requires a driven individual who thrives in a fast-paced setting, takes ownership of tasks, and is comfortable working as part of a team on solutions for the T/CIO trading desks.

Job Responsibilities

• Develops, enhances and supports our Trade Execution Platform, which is critical to trading and other business activities.

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

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

• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team

• 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

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

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Contribute to the wider team culture of diversity, opportunity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts with experience delivering in a commercial setting.

• Hands-on experience in system design, application development, testing, and operational stability.

• Advanced proficiency in Python or Java programming languages and frameworks.

• Ability to independently troubleshoot design and functionality issues.

• Demonstrated ability to problem-solve in real-time and handle technical issues with a sense of urgency.

• Strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.

• Ability to self-drive delivery and take ownership end to end.

• Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices

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

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Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Financial Industry experience and familiarity with investment banking products – e.g. fixed income, derivatives.

• Project execution experience with strong communication skills and ability to work collaboratively with non-technical colleagues to understand and address business needs.

• Comfort working across full stack development, particularly with React.

• Exposure to cloud technologies using AWS.

• Familiarity with container orchestration (K8s).