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Fastapi Jobs in Connecticut (NOW HIRING)

Saransh Inc

Back End Engineer

Hartford, CT · On-site

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 ...

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT · On-site

$155K - $194K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic, including shopping carts, order processing, and complex transactional workflows

Ritchie Bros.

Senior Staff Software Engineer

Norwalk, CT

$123K - $162K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic, including shopping carts, order processing, and complex transactional workflows

Apex Informatics

AI Engineer

Hartford, CT · On-site

Work primarily in Python within modern web frameworks (such as FastAPI). * Deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services). * Use Git-based ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Web development (e.g., Svelte, FastAPI, or similar) * Experience with C# programming and other Microsoft tools preferred. AI/ML * Machine learning model development * LLM applications * Agentic AI ...

KēSTA I.T.

AI Engineer 804812

Hartford, CT · On-site +1

$1/hr

Required Skills: · Strong experience developing applications using Python . · Experience with modern Python web frameworks such as FastAPI or similar. · Experience deploying and managing ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT · On-site

$112K - $168K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic and complex workflows AI-Native SDLC: Actively utilize autonomous coding agents to ...

Ritchie Bros.

Staff Software Engineer

Norwalk, CT

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core business logic and complex workflows AI-Native SDLC: Actively utilize autonomous coding agents to ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

FastAPI, Flask, Node.js, React, or similar application frameworks * Docker, CI/CD, cloud platforms, or basic DevOps workflows * Experience with machine learning frameworks such as PyTorch, TensorFlow ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest--production-grade Python is your default. • TypeScript/JS: Node.js APIs, React (hooks, context, functional components), type-safe interfaces ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

$130K/yr

FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest--production-grade Python is your default. * TypeScript/JS: Node.js APIs, React (hooks, context, functional components), type-safe interfaces ...

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Fastapi information

Do any big companies use FastAPI?

Several large companies and organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Notable examples include Microsoft, Netflix, and Uber, which leverage FastAPI in various projects to improve scalability and developer productivity.

What is a FastAPI worker?

A FastAPI worker is a process that runs an instance of a FastAPI application, handling incoming HTTP requests in a production environment. It is typically managed by an ASGI server like Uvicorn or Gunicorn, which can spawn multiple workers to improve concurrency and performance. Understanding how to configure and scale FastAPI workers is important for deploying high-performance APIs.

Is Netflix using FastAPI?

There is no publicly available information confirming that Netflix uses FastAPI in its technology stack. Netflix primarily relies on Java, Python, and other frameworks for its backend services. FastAPI is a popular Python web framework known for its speed and ease of use, but its adoption by specific companies like Netflix is not publicly documented.

What are the key skills and qualifications needed to thrive in the Fastapi position, and why are they important?

To thrive as a FastAPI Developer, you need strong proficiency in Python, REST API design, and knowledge of web frameworks, ideally supported by a relevant degree or industry certifications. Familiarity with tools like Docker, Git, asynchronous programming, and testing frameworks such as Pytest is often required. Excellent problem-solving skills, adaptability, and clear communication are valuable soft skills in this role. These competencies ensure robust API development, seamless collaboration, and the delivery of high-quality software solutions in agile environments.

What are the typical daily responsibilities of a FastAPI Developer?

As a FastAPI Developer, your daily tasks typically include designing and implementing RESTful APIs, writing efficient and maintainable code, and performing thorough testing to ensure reliability and performance. You may also collaborate closely with frontend developers, DevOps engineers, and QA teams to integrate new features and troubleshoot issues. Regular code reviews, documentation, and participation in agile development meetings are common parts of the workday. This collaborative and dynamic environment allows you to make a direct impact on the product while growing your skills through hands-on problem-solving and teamwork.

What is a FastAPI job?

A FastAPI job typically involves developing, maintaining, and optimizing web applications and APIs using the FastAPI framework. FastAPI is a modern, high-performance web framework for Python that is designed for building APIs quickly with automatic OpenAPI generation. Professionals in this role are expected to have experience with Python, asynchronous programming, and API development, often working with databases, authentication, and cloud services.

Is FastAPI in demand?

FastAPI is a popular web framework for building APIs with Python, and demand for developers skilled in FastAPI is growing due to its efficiency and ease of use. Companies adopting modern, high-performance backend solutions often seek developers familiar with FastAPI, especially those with knowledge of asynchronous programming and related tools like Python and Docker.
What are the most commonly searched types of Fastapi jobs in Connecticut? The most popular types of Fastapi jobs in Connecticut are:
What are popular job titles related to Fastapi jobs in Connecticut? For Fastapi jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Fastapi jobs in Connecticut look for? The top searched job categories for Fastapi jobs in Connecticut are:
Fastapi jobs near you
Infographic showing various Fastapi job openings in Connecticut as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Back End Engineer

Saransh Inc

Hartford, CT • On-site

Contractor

Posted 28 days ago

Job description

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.
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.
Experience with asynchronous programming in Python (e.g., 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.
Bachelor's degree in Computer Science, Engineering, or related field