Lead Software Engineer - Python / Athena Trade and Risk Services

JPMorganChase; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer for the ATRS Tools team to design and build systems that boost developer confidence and provide Operations with real-time tooling. You will partner across platform engineering, LOBs, Controls, and Audit to deliver high-impact capabilities and ship end-to-end solutions at scale.

The role focuses on enterprise-grade tooling, security, and responsible AI as you lead cross-team execution and drive architectural decisions across a broad developer

Qualifications

• Formal training or certification in software engineering concepts.
• Strong fundamentals in software engineering and developer tooling.
• Proficiency in Python, TypeScript/React, and SQL.
• Experience with AI-assisted development tools and responsible AI use.

Responsibilities

• Build and evolve engineering productivity tooling for change management and code health.
• Develop real-time monitoring, alerting, and workflow frameworks for operations.
• Drive platform initiatives for safe, deterministic changes across the estate.
• Design event-driven systems on modern streaming platforms.
• Embed AI capabilities to enhance code quality, speed, and outputs.
• Own features end-to-end, including production incident response and telemetry.
• Translate ambiguous requirements into reusable platform capabilities.
• Collaborate with Controls and Audit to ensure secure release workflows.

Skills

Python

TypeScript/React

SQL

CI/CD

AI-assisted development

Testing

Distributed systems

Education

Software engineering training/certification

Tools

CI/CD tooling

AI toolchain

Job description

Job Description

Join the ATRS Tools team and help shape the developer and operations experience on one of the firm's most strategic technology platforms, used by thousands of engineers and middle-office users every day. Our remit spans two pillars: engineering productivity tooling that gives developers confidence in the changes they make, and operational tooling that gives the business real-time visibility and control over the platform. The tools we build touch daily activity across the firm's front-to-back platform. If you want your work to be visible across the organization and directly influence how a codebase of this scale is operated, tested, and evolved, this is the place.

As a Lead Software Engineer on ATRS Tools, you will design and build systems that give engineers confidence in the changes they make and give Operations users the real-time tooling they need to keep the business running. You will partner across platform engineering, LOB teams, Controls, and Audit to deliver low-friction, high-impact platform capabilities. Our culture values technical ownership, product thinking, and pragmatic delivery; we ship vertical slices, prove them end‑to‑end, then broaden.

Job Responsibilities

• Build and evolve engineering productivity tooling: systems that help developers make changes with confidence, covering change management, regression and behaviour‑comparison testing, and codebase health at scale
• Build and evolve operational tooling: real‑time monitoring, alerting, and workflow frameworks that give Operations users the visibility and control they need to run the business
• Drive strategic platform initiatives that reshape how core capabilities, such as runtime configuration and large‑scale codebase cleanup, are managed safely and deterministically across the estate
• Design and evolve real‑time, event‑driven systems built on modern streaming platforms that power operational monitoring and downstream consumers across lines of business
• Embed AI capabilities into team‑owned products, surfacing intelligent recommendations, accelerating routine user actions, and turning ambiguous inputs into structured, reviewable outputs, using approved enterprise AI tooling
• Own features across their full lifecycle: discovery, design, implementation, rollout, telemetry, and operational support (including production incident response for team‑owned components)
• Translate ambiguous asks from Operations teams, LOB engineers, and Controls partners into reusable platform capabilities, generalising per‑team patterns into framework primitives adopted across the estate
• Partner with Controls and Audit stakeholders to implement effective, low‑friction engineering controls in change management and release workflows
• Influence engineering standards and best practices across a broad developer community through RFCs, guidance, and reference implementations
• 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

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Strong software engineering fundamentals and a genuine passion for developer and operations tooling
• Proficiency in Python, with working knowledge of TypeScript/React for web tooling and SQL for full‑stack work
• Proficient user of enterprise‑authorized AI‑assisted development tools (coding, 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 when building AI capabilities into products, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations, along with the ability to guide a team through these considerations
• Solid grounding in testing, reliability, and maintainable system design, comfortable with layered architectures, event‑driven systems, and distributed state
• Ability to operate independently in ambiguous problem spaces (RFCs, greenfield platform initiatives) and collaborate effectively across teams
• Skill in turning loosely defined requirements into robust, widely adopted solutions: vertical slice first, broaden second
• Working knowledge of modern engineering workflows: testing, CI/CD, static analysis, version control, and deployment
• 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

Preferred Qualifications, Capabilities, And Skills

• Experience building internal tools or platforms used by other engineers or operations users
• Familiarity with large or long‑lived codebases and the challenges of maintaining them over time
• Experience with real‑time or event‑driven systems
• Experience with automated testing at scale, particularly for production‑critical systems
• Experience integrating AI features into user‑facing products
• Background in migrations, refactoring, or other platform‑scale change initiatives
• Experience influencing engineering practices beyond your immediate team

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.