Full Stack Developer

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.

Requirements

What You’ll Work OnBackend (.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 ForMust\-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.

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