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Python Developer withMCP (Model Context Protocol)

Roles & Responsibilities

  • Strong Python development skills, with experience building backend services and MCP servers
  • Extensive hands-on experience in AWS services, including Lambda, API Gateway, and EventBridge
  • Solid understanding of REST API design and development
  • Experience with authentication and authorization frameworks (OAuth2, JWT, AWS IAM)

Requirements:

  • Design, develop, and maintain MCP servers for AI-driven applications using Python
  • Build and integrate backend services leveraging AWS serverless architectures
  • Develop and manage solutions on AWS Lambda, API Gateway, S3, EventBridge
  • Integrate MCP tools with various APIs, focusing on Workday APIs and others

Job description

This is a remote position.

We are seeking a highly skilled Senior Software Engineer with strong expertise in building MCP (Model Context Protocol) servers using Python. The ideal candidate will have hands-on experience with AWS servers and services, strong knowledge of API integrations, preferably Workday APIs, and the ability to design secure, scalable backend systems. You will play a key role in developing AI-integrated backend solutions supporting next-gen applications.



Key Responsibilities

  • Design, develop, and maintain MCP servers to expose tools and services for AI-driven applications using Python
  • Build and integrate backend services leveraging AWS serverless architectures
  • Spotify  backstage portal and Devops
  • Develop and manage solutions on AWS Lambda, API Gateway, S3, EventBridge, and related services
  • Integrate MCP tools with various APIs, including strong focus on Workday APIs and other internal/third-party APIs
  • Connect with databases (SQL and NoSQL), file systems, and external systems such as SFTP
  • Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and AWS IAM
  • Collaborate with teams to design event-driven systems using AWS EventBridge
  • Work hands-on with AWS Bedrock Agent Core or similar AI workflow engines to enable intelligent workflows
  • Ensure system scalability, reliability, performance, and observability via best practices in logging and monitoring
  • Collaborate cross-functionally throughout SDLC to deliver robust, maintainable backend systems



Required Skills & Experience

  • Strong Python development skills, with experience building backend services and MCP servers
  • Extensive hands-on experience in AWS services:
    • AWS Lambda – serverless function development and deployment
    • API Gateway – REST API creation and management
    • AWS EventBridge – event-driven architecture design
    • S3 – object storage and file management
    • Familiarity with AWS Bedrock or similar AI integration platforms (preferred)
  • Solid understanding of REST API design, development, and integration, knowledge of Workday APIs is good to have.
  • Experience with authentication & authorization frameworks (OAuth2, JWT, AWS IAM)
  • Strong database experience (SQL and NoSQL) including schema design and querying
  • Familiarity with SFTP and secure file transfer mechanisms
  • Experience designing event-driven systems and scalable distributed architectures
  • Strong knowledge of secure system design principles and best practices 


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