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About the Role

As a Full Stack Developer reporting to the CTO, 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.

Responsibilities

• Build and extend modules within a clean modular monolith architecture, including Domain, Application, Infrastructure, and API layers per module.
• Implement message-based integrations over RabbitMQ and HTTP, incorporating retry, dead-letter, and observability patterns.
• Design and own PostgreSQL schemas, migrations (Liquibase), and query optimization for compliance-grade data integrity.
• Write code test-first, including unit tests, integration tests with in-memory and real DB, and end-to-end API tests.
• Contribute to and enforce coding standards, participate in PR reviews, and influence architectural decisions.
• Build complex, accessible UI components and multi-path forms for compliance workflows.
• Maintain consistency with the design system and collaborate with the UX designer on new feature implementation.
• Integrate with the backend via typed API contracts, managing loading states, error boundaries, and optimistic updates.
• Use Claude Code as an active development tool, working with CLAUDE.md, SKILLS.md, and RULES.md context files for accurate codebase context.
• Translate Jira requirements and Notion design documents into structured Claude Code prompts to 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 rigor as human-written code, owning the output.
• Build and maintain Docker images for all services, adhering to security and size best practices.
• Deploy and manage workloads on Kubernetes clusters, including writing and reviewing manifests and 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.

Requirements

• 4+ years of professional .NET development (C#) with a strong understanding of clean architecture and SOLID principles.
• Solid React and TypeScript experience, writing readable, testable, and maintainable components.
• Genuine TDD discipline, writing tests before or alongside code and understanding the differences between unit, integration, and end-to-end tests.
• Hands-on experience with RabbitMQ or similar message brokers in production systems.
• PostgreSQL proficiency, including schema design, migrations, query analysis, and indexing.
• Practical Kubernetes experience, including reading and writing manifests, understanding pod scheduling, and debugging deployment issues.
• Docker fluency, including building lean, layered images and understanding multi-stage builds.
• Experience working in or contributing to a modular monolith or DDD-influenced codebase.
• Strong English communication skills, both written and verbal.
• Experience using AI coding assistants like Claude Code or GitHub Copilot 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.

Skills

• .NET
• C#
• Clean Architecture
• SOLID principles
• React
• TypeScript
• TDD
• Unit Testing
• Integration Testing
• End-to-End Testing
• RabbitMQ
• Message Brokers
• PostgreSQL
• Schema Design
• Migrations
• Query Optimization
• Kubernetes
• Docker
• Modular Monolith
• DDD
• Claude Code
• AI Coding Assistants
• GCP
• Playwright
• Knowledge Graphs
• Neo4j

Experience Level

• 4+ years of professional .NET development

About the Company

• Test coverage is a delivery requirement, not a nice-to-have. Core business logic ships with tests.
• PR reviews are substantive, commenting on architecture, not just typos.
• AI tooling is used to move faster, not to lower the quality bar; AI-generated code is reviewed like any other code.
• Decisions are documented via ADRs, Notion pages, and Claude Code context files.
• Issues are raised early; a blocker surfaced on day one is preferred over a missed deadline on day ten.