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We are looking for highly motivated Python Developers to join the ContextForge MCP & A2A Gateway team.
ContextForge is an open-source production-grade gateway proxy and registry for Model Context Protocol (MCP) servers and A2A Agents. It federates MCP and REST services providing unified discovery auth rate-limiting observability virtual servers multi-transport protocols plugins and an Admin UI: https://github.com/IBM/mcp-context-forge
As a Python Developer you will build FastAPI services for MCP protocol implementation multi-tenancy features A2A agent integration federation logic and virtual server composition. You will work closely with a distributed engineering team to deliver high-quality well-tested code that powers cutting-edge AI infrastructure.
Your Role And Responsibilities Core Development• Implement MCP protocol handlers: JSON-RPC endpoints tools/prompts/resources registries
• Build virtual server composition logic to aggregate tools and resources from multiple sources
• Develop multi-tenant authentication: OAuth2 JWT SSO (OIDC) RBAC middleware
• Create A2A agent integration: OpenAI/Anthropic wrappers metrics collection agent lifecycle management
• Design federation logic: Redis pub/sub mDNS discovery peer health checks cross-cluster tool aggregation
• Implement multi-transport protocols: SSE WebSocket stdio streamable-HTTP with session management
Code Quality & Testing• Write comprehensive tests: pytest unit tests integration tests end-to-end tests
• Achieve and maintain 90%+ test coverage on all code contributions
• Follow strict linting standards: Black (formatting) mypy strict (type checking) Ruff Pylint
• Participate in code reviews: provide constructive feedback and learn from senior engineers
• Write clear documentation: docstrings API documentation architectural decision records
Technology Stack• FastAPI for building high-performance async REST APIs
• SQLAlchemy 2.0 for database ORM with PostgreSQL/SQLite
• Alembic for database migrations
• Redis for caching and federation pub/sub
• Async Python patterns for concurrent request handling
• pytest for comprehensive testing with fixtures and mocks
Collaboration• Work with Engineering Manager and senior engineers to translate requirements into implementation
• Collaborate with Product Manager to understand feature specifications and acceptance criteria
• Participate in daily standups sprint planning and retrospectives
• Contribute to technical discussions and architecture decisions
• Help maintain and improve CI/CD pipelines and development tooling
• Few years of software development experience in Python
• Strong understanding of Python 3.11+ features: type hints async/await dataclasses
• Experience with FastAPI or similar async web frameworks (Flask Django Starlette)
• Knowledge of RESTful API design and JSON-RPC protocol patterns
• Understanding of database concepts: SQL ORM patterns migrations indexing
Web Services & APIs• Experience developing integration solutions with web service APIs using REST/JSON
• Understanding of authentication mechanisms: OAuth2 JWT API keys
• Knowledge of HTTP protocol: methods headers status codes content negotiation
• Familiarity with API documentation tools: OpenAPI/Swagger Postman
Development Practices• Proficiency with version control: Git workflows branching pull requests code reviews
• Experience with automated testing: unit tests integration tests test fixtures mocking
• Understanding of CI/CD concepts: automated builds test pipelines deployment automation
• Ability to debug complex issues using logging debuggers and profiling tools
System Knowledge• Working knowledge of Linux environments and bash/sh shell scripting and Makefiles
• Basic understanding of networking: HTTP/HTTPS DNS firewalls proxies
• Familiarity with containerization: Docker basics container networking
• Understanding of relational databases: PostgreSQL or SQLite
Professional Skills• Ability to learn quickly and adapt to new technologies and frameworks
• Strong problem-solving skills and attention to detail
• Good communication skills for team collaboration and documentation
• Ability to work independently and manage time effectively
• Eagerness to receive and provide constructive feedback
• Experience with async Python: asyncio aiohttp async context managers
• Knowledge of Python packaging and dependency management: pip uv poetry
• Familiarity with Python performance optimization and profiling
• Experience with Python type checking: mypy Pydantic type stubs
Distributed Systems• Understanding of distributed system concepts: caching message queues service discovery
• Experience with Redis for caching or pub/sub messaging
• Knowledge of microservices architecture patterns
• Familiarity with API gateway or proxy technologies
AI/ML Infrastructure• Interest in AI infrastructure agentic systems or LLM applications
• Experience with OpenAI API Anthropic API or similar AI service integrations
• Knowledge of prompt engineering or AI agent orchestration
• Understanding of observability for AI systems: metrics tracing telemetry
Security & Best Practices• Understanding of security best practices: input validation SQL injection prevention secrets management
• Knowledge of authentication/authorization patterns: OAuth2 flows RBAC JWT validation
• Familiarity with security scanning tools: Bandit pip-audit
• Understanding of OWASP Top 10 vulnerabilities