Python Back-End Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Back-End Engineer focused on API and MCP server development, requiring expertise in Python, FastAPI, AWS, and containerization. It is a long-term contract based in Hartford, CT or Morristown, NJ, with a strong emphasis on microservices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Hartford, CT
-
🧠 - Skills detailed
#Lambda (AWS Lambda) #Grafana #Docker #GIT #Documentation #Cloud #Scala #Monitoring #FastAPI #Infrastructure as Code (IaC) #Security #EC2 #Logging #Computer Science #Programming #pydantic #API (Application Programming Interface) #Prometheus #Python #Deployment #Terraform #AWS (Amazon Web Services)
Role description
Job Title: Python 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
Job Title: Python 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
