Backend Python Mcp Engineer
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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
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