Responsibilities

Build MCP Servers: Design, build, and maintain high-performance servers using the FastMCP framework, ensuring reliability and maintainability
REST API Design: Design and implement RESTful APIs with strict adherence to OpenAPI/Swagger standards, focusing on proper endpoint structure and error handling
Async Programming: Write clean, efficient Python code utilizing asyncio and httpx for non-blocking I/O operations
Orchestration Systems: Implement and extend agentic workflow orchestration systems, utilizing
Event-driven architectures and webhook integrations
State Management: Leverage Redis for distributed state persistence, caching strategies, and TTL-based data management
System Reliability: Troubleshoot and debug complex issues across the distributed system stack to ensure uptime and performance
Enterprise Security: Implement robust security features, including OAuth2 flows, Azure Entra ID (SSO) integration, and secure JWT token validation
Testing & QA: Build and maintain comprehensive test suites (unit, integration, and E2E) using pytest and pytest-asyncio
Containerization: Containerize applications using Docker and manage local/prod environments via docker-compose and Azure pipelines

Basic qualifications

Core Development: Strong proficiency in Python with deep knowledge of async/await patterns
Solid experience with FastAPI and REST API design
MCP Specialization: Proven experience building MCP servers (critical requirement)
Hands-on experience with FastMCP framework
Data & Storage: Proficiency with Relational Databases (SQL) and Key-Value stores (Redis)
Security (IAM): Deep understanding of AuthN/AuthZ protocols. Experience with OAuth2, Azure Entra ID/SSO, and JWT token handling
Architecture: Familiarity with Distributed Systems and Event-Driven Architecture. Experience with Docker and containerization principles
Soft Skills: Strong problem-solving capabilities. Ability to work independently and communicate technical concepts clearly

MCP Ecosystem: Orientation in the broader ecosystem of MCP applications and clients
AI Frameworks: Experience with AI/LLM agent frameworks such as LangGraph, LangChain, or Langfuse
DevOps: Familiarity with Azure CI/CD pipelines and GitHub Actions
Observability: Knowledge of Datadog or similar platforms for logging and monitoring
Modern Practices: Prior exposure to "Vibe" coding practices (AI-assisted iterative coding)
Private medical care
Co-financing for the sports card
Training & learning opportunities
Constant support of dedicated consultant
Employee referral program

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