Virtusa
Lead Software Engineer
CREQ232972 Requisition # 9 hours ago Post Date Job Title: Back End Engineer API & MCP Server Development Team Cloud Services Platform Engineering DevOps Job Summary: We are looking for a highly motivated and skilled Back End Engineer with expertise in Python FastAPI and AWS cloud services to join our engineering team. This role focuses on building and deploying robust APIs and MCP Microservice Control Plane server components leveraging modern containerization and cloud native technologies. Key Responsibilities: API Development Design develop and maintain RESTful APIs using FastAPI and Pydantic for data validation and serialization. Implement scalable service layer logic for microservices and backend systems. MCP Server Engineering Build and optimize MCP server components to manage microservice orchestration and communication. Ensure high performance reliability and security of service layer interactions. Cloud Deployment Deploy and manage services on AWS using Lambda API Gateway and ECS. Integrate cloud native patterns for scalability fault tolerance and cost efficiency. Containerization Package applications using Docker or Podman for consistent deployment across environments. Maintain container lifecycle image versioning and secure configurations. Collaboration DevOps Work closely with front end developers DevOps and product teams to deliver end to end solutions. Participate in code reviews architecture discussions and agile ceremonies. Required Skills Qualifications: Strong proficiency in Python with experience in FastAPI and Pydantic. Solid understanding of RESTful API design versioning and documentation. Hands on experience with AWS services Lambda API Gateway ECS Fargate or EC2 backed. Experience with Docker or Podman for containerization and deployment. Familiarity with CI CD pipelines and Git based workflows. Knowledge of microservices architecture and service orchestration patterns. Excellent problem solving and debugging skills. Preferred Qualifications: Experience with asynchronous programming in Python eg asyncio aiohttp. Familiarity with infrastructure as code Terraform AWS CDK. Exposure to monitoring and logging tools CloudWatch Prometheus Grafana. Understanding of security best practices for APIs and cloud deployments. Bachelors degree in Computer Science Engineering or related field.
CREQ232972 Requisition # 9 hours ago Post Date Job Title: Back End Engineer API & MCP Server Development Team Cloud Services Platform Engineering DevOps Job Summary: We are looking for a highly motivated and skilled Back End Engineer with expertise in Python FastAPI and AWS cloud services to join our engineering team. This role focuses on building and deploying robust APIs and MCP Microservice Control Plane server components leveraging modern containerization and cloud native technologies. Key Responsibilities: API Development Design develop and maintain RESTful APIs using FastAPI and Pydantic for data validation and serialization. Implement scalable service layer logic for microservices and backend systems. MCP Server Engineering Build and optimize MCP server components to manage microservice orchestration and communication. Ensure high performance reliability and security of service layer interactions. Cloud Deployment Deploy and manage services on AWS using Lambda API Gateway and ECS. Integrate cloud native patterns for scalability fault tolerance and cost efficiency. Containerization Package applications using Docker or Podman for consistent deployment across environments. Maintain container lifecycle image versioning and secure configurations. Collaboration DevOps Work closely with front end developers DevOps and product teams to deliver end to end solutions. Participate in code reviews architecture discussions and agile ceremonies. Required Skills Qualifications: Strong proficiency in Python with experience in FastAPI and Pydantic. Solid understanding of RESTful API design versioning and documentation. Hands on experience with AWS services Lambda API Gateway ECS Fargate or EC2 backed. Experience with Docker or Podman for containerization and deployment. Familiarity with CI CD pipelines and Git based workflows. Knowledge of microservices architecture and service orchestration patterns. Excellent problem solving and debugging skills. Preferred Qualifications: Experience with asynchronous programming in Python eg asyncio aiohttp. Familiarity with infrastructure as code Terraform AWS CDK. Exposure to monitoring and logging tools CloudWatch Prometheus Grafana. Understanding of security best practices for APIs and cloud deployments. Bachelors degree in Computer Science Engineering or related field.