Lead Software Engineer, Team Lead

About the role

Marsh's Client Analytics & Technology (CAT) team in London is looking for a hands-on Tech Lead for a small UK-based team working closely with an India engineering pod. The role owns technical direction, delivery and day-to-day engineering leadership, combining strong domain partnership with risk advisory and consulting stakeholders and pragmatic software engineering and architecture judgment. It is a hybrid role with at least two days a week in the office.

Key responsibilities

• Lead end-to-end delivery of CAT products, from problem framing and design through build, release and support.
• Translate risk advisory and consulting needs into technical requirements, user stories and solution designs, partnering with stakeholders through UAT and rollout.
• Own the backend and integration approach (APIs, data flows, security, RBAC) and ensure solutions are scalable, maintainable and well documented.
• Provide technical leadership for a distributed London and India team: sprint planning input, code reviews, mentoring and raising engineering standards.
• Drive quality and operational readiness: testing strategy, CI/CD, release notes, production deployment governance and incident management.
• Identify and deliver pragmatic AI/ML opportunities (agentic workflows, RAG/LLM capabilities) with appropriate governance and human-in-the-loop controls.

Required profile

• Experience managing a team of about five people while also doing hands-on coding.
• Proven experience as a Tech Lead or Lead Engineer delivering production software, including code review ownership.
• Experience working directly with business stakeholders in a financial firm, able to explain technical trade-offs clearly.
• Ability to lead delivery with an agile team across time zones.

Required skills

• Strong backend engineering skills (API design, data modelling, performance) and secure, role-based applications.
• Preferred: Python-based services (e.g. FastAPI) and modern web stacks (e.g. Next.js/React.js).
• Preferred: practical experience with GenAI/agentic solutions (prompt engineering, RAG, governance patterns).
• Preferred: data pipelines, SQL, Mongo databases or document stores.

What we offer

• Professional development opportunities and supportive leaders.
• A vibrant, inclusive culture with a range of career opportunities, benefits and rewards.