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Tech Lead Engineer (MCP Protocol)
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Tech Lead Engineer
We are looking for a Tech Lead Engineer to drive the design and implementation of enterprise-grade integrations based on the Model Context Protocol (MCP). This role combines Python backend engineering, protocol design, authentication, observability, and AI agent platform integration. The ideal candidate has deep experience building distributed systems, designing APIs and contracts, and leading adoption of emerging agent communication standards in enterprise environments.
Project Overview
Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.
The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.
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Requirements
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- Python (FastAPI, FastMCP)
- MCP protocol (Model Context Protocol specification)
- AWS AgentCore Gateway
- OpenTelemetry instrumentation
- OAuth 2.0 / SigV4 authentication
- Canonical Contract / OpenAPI schema design
Experience:
- 5+ years Python backend engineering
- Hands-on implementation of MCP servers or similar tool-protocol adapters
- REST / async API development with FastAPI or equivalent
- Enterprise authentication (OAuth, SigV4, JWT)
Will be a plus:
- AWS AgentCore Gateway early adopter or equivalent
- LangGraph or Strands agent framework experience
- Enterprise governance processes (ARB, InfoSec review)
Responsibilities
- Lead the design and implementation of MCP-based services and integrations using Python, FastAPI, and FastMCP.
- Develop and maintain MCP servers, tool adapters, and protocol-compliant integration layers.
- Design and enforce canonical API contracts, OpenAPI specifications, and schema governance standards.
- Build secure and scalable integrations with AWS AgentCore Gateway and related AI platform services.
- Implement enterprise authentication and authorization mechanisms using OAuth 2.0, JWT, and AWS SigV4.
- Design asynchronous APIs and service-to-service communication patterns for agent ecosystems.
- Establish observability standards and implement OpenTelemetry instrumentation for protocol interactions and service operations.
- Collaborate with AI platform teams to enable agent-to-tool and agent-to-agent communication capabilities.
- Define best practices for protocol versioning, backward compatibility, testing, and governance.
- Review architecture, design decisions, and implementation approaches across multiple engineering teams.
- Support enterprise security reviews, architecture review boards (ARB), and compliance processes.
- Mentor engineers and provide technical leadership for protocol adoption initiatives across the organization.
- Create technical documentation, implementation guides, and reference architectures for MCP-based solutions.
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