Senior Lead Software Engineer: AI-Driven Cloud-Native

JPMorgan Chase & Co.

Greater London

On-site

GBP 120,000 - 180,000

Full time

3 days ago

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Job summary

JPMorganChase is seeking a Senior Lead Software Engineer to join an agile team focused on building trusted market-leading technology products in a secure, scalable way. You will guide, design, and deliver production-grade software while advancing AI-assisted practices across teams.

Responsibilities include setting technical direction, driving secure coding and performance, and mentoring engineers. This role emphasizes safety, resilience, and enterprise-grade software delivery in a fast-paced

Qualifications

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 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.

Responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards 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.
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