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Backend Python MCP Engineer

Role overview

Qualifications

  • 3+ years of hands-on experience developing backend solutions in Python
  • Proficient with asynchronous frameworks such as FastAPI or aiohttp
  • Strong understanding of API development, integration engineering, and protocol-based communication
  • Experience with AWS services including Lambda and API Gateway for serverless deployment

Responsibilities

  • Implement MCP protocol server-side components and reusable templates for enterprise onboarding
  • Develop and maintain Python-based MCP modules using modern frameworks and asynchronous patterns
  • Integrate telemetry instrumentation with OpenTelemetry for distributed tracing, metrics, and logging
  • Build and maintain MCP factory and delivery services to automate deployments

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We're looking for a Backend Python MCP Engineer to join our team in Portugal in a fully remote working mode. In this role, you will contribute to building an Enterprise Agent Development Platform – a cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. You will be responsible for implementing MCP server templates, developing onboarding workflows for enterprise MCP servers, and supporting a robust template library and delivery service. This position combines deep Python expertise with protocol-level engineering, cloud-native deployment, and observability to ensure a secure, scalable, and developer-friendly experience for MCP-based integrations. Responsibilities Implement MCP protocol server-side components and reusable templates for enterprise onboarding Develop and maintain Python-based MCP modules using modern frameworks and asynchronous patterns Integrate telemetry instrumentation with OpenTelemetry for distributed tracing, metrics, and logging Build and maintain MCP factory and delivery services to automate deployments Design secure, containerized workloads with compliance to security baselines Collaborate with platform and architecture teams to support CI/CD, governance, and observability standards Document MCP integration patterns and provide guidance for other development teams Optimize server performance and ensure reliability under production traffic Contribute to the automation of deployment with AWS services (Lambda, API Gateway) Requirements 3+ years of hands-on experience developing backend solutions in Python Proficient with asynchronous frameworks such as FastAPI or aiohttp Strong understanding of API development, integration engineering, and protocol-based communication Experience with AWS services including Lambda and API Gateway for serverless deployment Working knowledge of containerization principles and baseline security practices Familiarity with observability tooling and concepts (traces, metrics, logs) using OpenTelemetry Nice to have Practical experience with FastMCP or similar libraries for MCP protocol implementation Understanding of LangGraph or agent orchestration frameworks for AI-driven platforms Exposure to AWS AgentCore Runtime or AWS Bedrock for AI and agent execution environments

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