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Full Stack Developer

Control Risks

Madrid, EShybridPosted Jun 2, 2026

Skills

postgreskubernetestypescriptplaywrightnotiondockergithubneo4jreactjirahelmcicdgooglecloudc#

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.

Requirements

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.

Questions about this role

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