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We are looking for a full-stack developer to join a growing InsurTech business unit (headquartered in Reigate) building market-leading insurance software with a focus on the development of modern SaaS based solutions.
You will join at a genuine inflection point: we are moving from AI-assisted coding toward an agentic software development lifecycle, where engineers increasingly describe intent, and orchestrate, review and govern the work that AI executes.
The Role
Today the role focuses on:
- Working with the Product Owner to define, refine and deliver the product backlog.
- Designing and building software solutions that meet functional and non-functional requirements, using AI coding tools to accelerate delivery.
- Writing and maintaining test-related code - unit tests, test frameworks and automated test cases.
- Reviewing and debugging code to identify defects, performance bottlenecks, and technical debt.
- Participating in Agile/scrum activities (planning, stand-ups, retrospectives) and continuously improving team velocity, process and engineering practice.
- Participating in incident response and continuously harden the platform based on production learnings
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The role will evolve and we expect more focus on:
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- Business outcomes - partnering closely with business stakeholders to understand underlying needs, challenge assumptions where appropriate, and measure success through tangible business and user outcomes.
- Design over implementation - spending more time defining system boundaries, integration patterns and architectural intent, using AI-assisted tools to explore solutions and validate design decisions before code is written.
- Specification as a first-class craft - writing clear, testable intent and acceptance criteria that agents and humans can both act on.
- Review and quality judgement - evaluating AI-generated work for correctness, security and design fit, rather than typing every line yourself.
- Orchestration - composing and supervising AI capabilities and agentic workflows inside governed pipelines with clear quality gates.
- Raising the team, not just yourself - turning good individual practice into shared, reusable capability so the whole team gets faster, not just one person.
- Learning and adaptation - staying current with emerging AI capabilities and engineering practices, helping the team identify, adopt and govern new ways of working that improve delivery and outcomes.
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