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MCP Lead Developer WITH Strong python

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Onsite

MCP Lead Developer WITH Strong python

Cloudxtreme

MCP Lead Developer WITH Strong python

Skills

DockerPythonAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,100,000 – ₹2,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


Role & 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

  • Strong 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.

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