Role & responsibilities

Job Description

Preferred locations: Hyderabad, bangalore, Chennai, coimbatore (South locations)

MCP Lead Developer Python

Role Summary

We are seeking an experienced MCP Lead Developer with robust Python expertise to design, build, test, and operate Model Context Protocol (MCP) servers and tools. This role is responsible for owning the full MCP lifecycle, including server implementation, tool creation, test agent development, validation, and performance testing.

The ideal candidate combines handson engineering, technical leadership, and AIintegration experience, with the ability to guide teams and ensure MCP platforms are reliable, secure, and productionready.

Key Responsibilities

MCP Architecture & Development
Lead the design and implementation of MCP servers using Python.
Build and maintain MCP tools that expose backend capabilities to AI/LLM clients.
Own MCP server architecture, including:
Tool registration and invocation
Resource and context lifecycle management
Secure communication patterns
Ensure MCP implementations align with scalability, reliability, and performance requirements.

MCP Testing & Validation (Critical Responsibility)
Design and develop test agents to validate MCP server behavior.
Create automated functional, integration,



and regression tests for MCP servers and tools.
Build test agents that simulate:
AI clients
Tool invocations
Context and resource exchanges
Execute and validate MCP servers across:
Local development environments
CI/CD pipelines
Cloud deployments
Perform performance and load testing of MCP servers and tools.
Troubleshoot MCP issues across runtime, tool execution, and agent interactions.

Python Development Skills
Robust handson experience with Python for:
MCP server development
Automation and scripting
Test agent implementation
Experience designing clean, maintainable, and testable Python codebases.
Familiarity with asynchronous programming and concurrency in Python.

CI/CD, DevOps & Cloud
Integrate MCP servers, tools, and test agents into CI/CD pipelines.
Automate build, test, and deployment workflows.
Experience working with Docker and containerized environments.
Deploy and operate MCP servers in cloud platforms.
Implement logging, monitoring, and observability for MCP runtimes.

AI & Agent Integration
Experience integrating MCP servers with LLMbased systems and agent frameworks.
Understanding of agentdriven workflows and toolcalling patterns

📌 Python, Gen Ai, Mcp Hyderabad
🏢 Cloudxtreme
📍 Hyderabad