Sr Manager of Software Engineering (C++ / FICC Etrading)

JPMorgan Chase & Co.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Senior Lead Software Engineer to guide an agile squad in delivering secure, scalable, market-leading technology for eTrading and allied platforms.

The successful candidate will own design decisions, drive AI-assisted development practices, mentor engineers, and collaborate across teams to raise code quality and operational excellence in a fast-paced financial services environment.

Qualifications

• Formal training or certification on software engineering concepts and extensive applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced knowledge in programming languages C and C++.
• Experience leading enterprise-approved AI-assisted software development tools and setting team expectations for AI outputs validation.
• Strong understanding of responsible AI use in engineering workflows including data sensitivity, secure handling, and security/reliability expectations.
• Advanced knowledge of software applications and technical processes with depth in cloud/AI/ML/mobile.
• Ability to tackle design and functionality problems independently with little oversight.
• Practical cloud native experience.
• Experience in Computer Science, Computer Engineering, Mathematics, or related field.

Responsibilities

• Regularly provides technical guidance to support the FICC eTrading business and its teams, contractors, and vendors.
• Develops secure and high-quality production code and reviews code written by others.
• Drives decisions influencing product design, application functionality, and technical operations.
• Serves as a function-wide subject matter expert in one or more focus areas.
• Contributes to engineering community through firmwide SDLC frameworks, tools, and practices.
• Influences peers to adopt leading-edge technologies.
• Supports team culture of diversity and inclusion.
• Drives adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operations.
• Applies SDLC toolchain knowledge to improve automation value at scale.

Skills

C/C++ expertise

AI-assisted tools adoption

Responsible AI coaching

Cloud native development

Independent problem solving

Cloud/ML knowledge

Formal software engineering training

Education

Formal training in software engineering

Tools

AI-assisted development tools

Job description

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 at JPMorganChase within the Commercial & Investment Bank - eTrading team, you 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. 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.

Job responsibilities

• Regularly provides technical guidance and direction to support the FICC eTrading business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, opportunity, inclusion, and respect
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and extensive applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced knowledge and demonstrated skills in in programming languages C and C++
• 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.
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Hands on experience working within Financial Services Industry
• Hands on experience on high throughput and low latency systems
• Hands on experience in electronic trading systems