Overview
On Site
$DOE
Full Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - term contract
Skills
AWS
Python
docker
Healthcare
FastAPI
Job Details
Job Title: Back-End Engineer API & MCP Server
Location: Hartford, CT or Morristown, NJ (On-site from Day 1)
Job Type: Long-term contract
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 micro services 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.
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 microservice architecture and service orchestration patterns.
- Experience with asynchronous programming in Python (e.g., asyncio, aiohttp).
- Familiarity with infrastructure as code (Terraform, AWS CDK).
- Exposure to monitoring and logging tools (Cloud Watch, Prometheus, Grafana).
- Understanding of security best practices for APIs and cloud deployments.
- Bachelor's degree in Computer Science, Engineering, or related field
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.