What You'll Do:
MCP Development & Implementation
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design
Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration
Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source
Engage with the open-source community, contributing to the development and improvement of MCP
What We're Looking For:
3+ years of software engineering experience with backend systems
Strong proficiency in Python, TypeScript/Node.js, or Go
Experience with JSON-RPC, WebSockets, and real-time communication protocols
Knowledge of RESTful API design and implementation
Familiarity with database systems (SQL and NoSQL)
Understanding of authentication protocols (OAuth, JWT, API keys)
Experience with Model Context Protocol development or similar AI integration protocols
Understanding of AI model context management and data retrieval patterns
Knowledge of tool calling and function execution in AI systems
Familiarity with prompt engineering and context optimization
Military tech background (e.g., 8200, Mamram)- an advantage
English proficiency- required
Nice to Have:
Experience working with large language models and AI applications
Background in distributed systems and microservices architecture
Knowledge of streaming data processing and real-time analytics
Experience with AI development frameworks (LangChain, LlamaIndex, etc.)
Contributions to open-source MCP projects or similar protocols
Understanding of enterprise security and compliance requirements (SOC2, GDPR, HIPAA)
