Full Stack Developer
Trabajo disponible en:
04810, Madrid, Andalucia, España
Publicado en 2026-06-06
Empresa:
Control-Risks
Tiempo completo
puesto Publicado en 2026-06-06
Especializaciones laborales:
-
Desarrollo de Software
Desarrollador/a Back-end, Desarrollador de full-stack, Ingeniero de Software, DevOps
Descripción del trabajo
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 Rabbit
MQ and HTTP, with proper retry, dead-letter, and observability patterns - Design and own Postgre
SQL 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.
- 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
- 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
- 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 Dev Ops on CI/CD pipelines, environment configuration, and production readiness
- Participate in on‑call rotation for production incidents (light, given our scale).
- 4+ years of professional .NET development (C#), with strong understanding of clean architecture and SOLID principles
- Solid React and Type Script 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 Rabbit
MQ or similar message brokers in production systems - Postgre
SQL 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
- Experience using Claude Code, Git Hub 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
- 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.
Tenga en cuenta que actualmente no se aceptan solicitudes desde su jurisdicción. Las preferencias de los candidatos son decisión del empleador o del agente reclutador.
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