Full Stack Developer

About the role

Reporting to the CTO, as a Full Stack Developer you will work across the full platform - a modular monolith built in .NET 10 on the backend and React on the frontend. You will own features from requirement to production, working in a small, high-trust team where your decisions have direct product impact. Please submit your CV in English. What You'll Work On Backend (.NET / Modular Monolith) - Build and extend modules within a clean modular monolith architecture - Domain, Application, Infrastructure, and API layers per module - Implement message-based integrations over RabbitMQ and HTTP, with proper retry, dead-letter, and observability patterns - Design and own PostgreSQL schemas, migrations (Liquibase), and query optimisation for compliance-grade data integrity - Write code test-first - unit tests, integration tests with in-memory and real DB where appropriate, and end-to-end API tests - Contribute to and enforce coding standards, PR reviews, and architectural decisions. Frontend (React / TypeScript) - Build complex, accessible UI components and multi-path forms for compliance workflows - Maintain consistency with our design system and work closely with our UX designer on new feature implementation - Integrate with the backend via typed API contracts, handling loading states, error boundaries, and optimistic updates correctly AI-Augmented Development - Use Claude Code as an active development tool - you will work with CLAUDE.md, SKILLS.md, and RULES.md context files to give the AI accurate codebase context - Translate Jira requirements and Notion design documents into structured Claude Code prompts that produce high-quality, testable code - Maintain and improve the Claude Code context layer as the codebase evolves, treating it as first-class documentation - Evaluate AI-generated code with the same rigour as human-written code - you own the output Platform & Deployment - Build and maintain Docker images for all services, following security and size best practices - Deploy and manage workloads on Kubernetes clusters - writing and reviewing manifests, Helm charts, and managing config/secrets - Collaborate with DevOps on CI/CD pipelines, environment configuration, and production readiness - Participate in on-call rotation for production incidents (light, given our scale). What We're Looking For Must-have - 4+ years of professional .NET development (C#), with strong understanding of clean architecture and SOLID principles - Solid React and TypeScript experience - you write components that are readable, testable, and maintainable - Genuine TDD discipline - you write tests before or alongside code, not as an afterthought; you understand the difference between unit, integration, and end-to-end tests - Hands-on experience with RabbitMQ or similar message brokers in production systems - PostgreSQL proficiency - schema design, migrations, query analysis, and indexing - Practical Kubernetes experience - you can read and write manifests, understand pod scheduling, and debug deployment issues - Docker fluency - you build lean, layered images and understand multi-stage builds - Experience working in or contributing to a modular monolith or DDD-influenced codebase - Strong English communication skills - written and verbal Strong advantage - Experience using Claude Code, GitHub Copilot, or similar AI coding assistants as a genuine productivity tool in a professional codebase - Familiarity with structuring AI context files (CLAUDE.md-style) to guide code generation effectively - Experience with GCP (Cloud Run, Cloud Storage, Pub/Sub, Vertex AI) - Playwright or similar e2e test framework experience - Exposure to knowledge graphs, Neo4j, or graph-based data modelling Our Engineering Ethos We are direct about what we expect. These are not aspirational values - they are how we work: - Test coverage is a delivery requirement, not a nice-to-have. Core business logic ships with tests. - PR reviews are substantive. We comment on architecture, not just typos. - We use AI tooling to move faster, not to lower the quality bar. AI-generated code gets reviewed like any other code. - We document decisions. ADRs, Notion pages, and Claude Code context files are part of the job. - We raise issues early. A blocker surfaced on day one beats a missed deadline on day ten.