Full Stack Engineer Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer t…
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$180k–$220k/yr
Full-time
Health Insurance, Welfare Benefits, Paid Time Off, 401K Savings, Retirement Programs, Employee Assistance Programs
Posted 17d ago
~40 hrs/week
Responsibilities
Design and ship end-to-end features across the full stack, from APIs and cloud-native services to responsive user interfaces. Develop AI-enabled product features and integrate with external market platforms using event-driven patterns.
Requirements
Requires over 10 years of professional software engineering experience with proficiency in C#/.NET or Python and modern frontend frameworks. Must have hands-on experience with Azure, infrastructure-as-code, and secure coding practices.
Full job description
Full Stack Engineer
Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client-facing platforms.
This is a hands-on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI-enabled features. You will work alongside architects, product stakeholders and delivery partners to ship software that brokers and analysts use every day.
Key Responsibilities:
Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces.
Cloud Native Delivery: Develop and run cloud-native applications on Microsoft Azure, using PaaS services, containers and infrastructure-as-code.
Data-Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts.
AI-Enabled Development: Build AI-enabled product features using patterns such as retrieval-augmented generation, tool and API integration, evaluation and human-in-the-loop design.
AI-Assisted Engineering: Use AI-assisted engineering tools such as Claude Code or Claude Cowork as part of your day-to-day workflow, and help the wider team adopt them well.
Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API-first and event-driven patterns.
Quality & Security: Practise test-driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth 2.0), data protection and privacy from the start.
Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in-house and partner engineers, and mentoring others across a greenfield estate.
About You
You are a pragmatic, hands-on engineer who enjoys a fast-moving, greenfield environment and wants to work across both traditional and AI-native development. Ideally you will bring:
Experience: 10+ years of professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus, but not essential.
Backend: Strong programming skills in C#/.NET or Python, with solid API design and strong SQL.
Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript.
Cloud & DevOps: Hands-on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure-as-code (Terraform).
Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event-driven and API-led design, together with a strong grounding in security patterns (OAuth 2.0, OIDC, Entra ID, RBAC) and secure coding practices.
Data: Comfortable working with relational databases and data-heavy application features, with strong SQL and an eye for query performance.
AI Development: Experience building with LLMs and AI-enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage.
Engineering Craft: Fluency in test-driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple.
Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade-offs clearly.
Compensation
Range: $180,000 - $200,000 - $220,000 Bonus: 20%
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
The actual salary for this position will be determined by several factors, including the scope, complexity and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. In addition to the base salary, this position may be eligible for performance-based incentives.
We offer a competitive total rewards package which includes health and welfare benefits, paid time off, 401K savings and other retirement programs, as well as employee assistance programs.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.
At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.
The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.
Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com
Related keywords
Full Stack EngineerAzurePaaSContainersInfrastructure-as-CodeRAGRetrieval-Augmented GenerationClaude CodeEntra IDOIDCRBACMicroservicesAPI-FirstReinsuranceFinancial ServicesSQL
Willis Re is a specialized reinsurance broker built to rise to any challenge, and help you seize opportunities.
Industry
Insurance
Company size
51-200 employees
Founded
2025
Headquarters
London, England
LinkedIn followers
8,947
Willis Re is a specialized reinsurance broker built to rise to any challenge. Backed by nearly two centuries of experience and strong investment, we help insurers and reinsurers find and seize opportunities.
Our advanced analytics and global network combine to bring our clients the insight, advice and perspective to navigate whatever comes next—redefining resilience for a new era of reinsurance
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