Full Stack Engineer

Willis Re•New York, NY

8d•$180,000 - $220,000

About The Position

Willis Re is building a global technology estate from the ground up, designed around data, analytics, and modern cloud platforms. The Full Stack Engineer will build products that power reinsurance broking, analytics, and client-facing platforms. This is a hands-on role spanning conventional services and AI-enabled features, working with architects, product stakeholders, and delivery partners to ship software used by brokers and analysts. The engineer will develop and operate cloud-native applications on Microsoft Azure, build end-to-end features across APIs, services, and responsive accessible interfaces, and create data-driven and AI-enabled product features. The role also involves integrating with external market platforms, carrier and client systems, and vendor SaaS products; applying secure engineering and test-driven development practices; and contributing to architectural standards, design discussions, code reviews, and mentoring across a greenfield technology estate.

Requirements

At least 10 years of professional software engineering experience.
A track record of shipping and supporting production systems end to end.
Strong programming skills in C#/.NET or Python.
Solid API design skills and strong SQL skills.
Practical experience building modern user interfaces with React or Angular and TypeScript.
Hands-on Azure experience.
Experience with CI/CD tooling such as Azure DevOps or GitHub Actions and infrastructure-as-code such as Terraform.
Experience building to architectural standards and applying microservices, event-driven, and API-led design patterns.
Strong grounding in security patterns including OAuth 2.0, OIDC, Entra ID, and RBAC, as well as secure coding practices.
Comfort working with relational databases and data-heavy application features, with strong SQL and attention to query performance.
Fluency in test-driven development and automated testing, maintainable design, and sound judgement about when to keep solutions simple.
Ability to work closely with product stakeholders and delivery partners and communicate technical trade-offs clearly.

Nice To Haves

Experience in insurance, reinsurance, or wider financial services.
Experience building with LLMs and AI-enabled solutions, or a clear appetite to learn.
Familiarity with agentic patterns, prompt design, and evaluation.

Responsibilities

Design, build, and ship end-to-end features, from APIs and services to responsive, accessible user interfaces.
Develop and run cloud-native applications on Microsoft Azure using PaaS services, containers, and infrastructure-as-code.
Consume data through APIs and services and present it in usable, performant ways for brokers and analysts.
Build AI-enabled product features using approaches such as retrieval-augmented generation, tool and API integration, evaluation, and human-in-the-loop design.
Use AI-assisted engineering tools such as Claude Code or Claude Cowork in daily work and help the wider team adopt them effectively.
Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API-first and event-driven patterns.
Practise test-driven development and write secure, maintainable code, applying authentication, authorisation, data protection, and privacy patterns.
Build to agreed architectural standards and help shape them through design discussions.
Review code from in-house and partner engineers and mentor others across the greenfield estate.
Work closely with product stakeholders and delivery partners and explain technical trade-offs clearly.