Backend Python MCP Engineer

EPAM Systems, Inc.; Portugal; Teletrabalho; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

EPAM Systems, Inc. is seeking a Backend Python MCP Engineer to join our Portugal team in a fully remote mode.

You will contribute to building an Enterprise Agent Development Platform, implementing MCP server templates, onboarding workflows, and a robust template library for enterprise MCP servers. You will develop Python-based MCP modules with asynchronous patterns, integrate OpenTelemetry for tracing, metrics, and logging, and automate deployments with MCP delivery services.

Qualificações

• 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 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.

Responsabilidades

• 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 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.

Conhecimentos

Python

Async frameworks

APIs

AWS Lambda

API Gateway

OpenTelemetry

Docker

Kubernetes

Ferramentas

Docker

Kubernetes

AWS CLI

Descrição da oferta de emprego

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.ResponsibilitiesImplement MCP protocol server-side components and reusable templates for enterprise onboardingDevelop and maintain Python-based MCP modules using modern frameworks and asynchronous patternsIntegrate telemetry instrumentation with OpenTelemetry for distributed tracing, metrics, and loggingBuild and maintain MCP factory and delivery services to automate deploymentsDesign secure, containerized workloads with compliance to security baselinesCollaborate with platform and architecture teams to support CI/CD, governance, and observability standardsDocument MCP integration patterns and provide guidance for other development teamsOptimize server performance and ensure reliability under production trafficContribute to the automation of deployment with AWS services (Lambda, API Gateway)Requirements3+ years of hands-on experience developing backend solutions in PythonProficient with asynchronous frameworks such as FastAPI or aiohttpStrong understanding of API development, integration engineering, and protocol-based communicationExperience with AWS services including Lambda and API Gateway for serverless deploymentWorking knowledge of containerization principles and baseline security practicesFamiliarity with observability tooling and concepts (traces, metrics, logs) using OpenTelemetryNice to havePractical experience with FastMCP or similar libraries for MCP protocol implementationUnderstanding of LangGraph or agent orchestration frameworks for AI-driven platformsExposure to AWS AgentCore Runtime or AWS Bedrock for AI and agent execution environmentsWe offerCompetitive compensation depending on experience and skillsVariety of projects within one companyBeing a part of a project following engineering excellence standardsIndividual career path and professional growth opportunitiesInternal events and communitiesFlexible work hours