1

Fastapi Python Jobs in Hartford, CT (NOW HIRING)

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 ...

Senior AI Engineer

Hartford, CT · On-site

$123K - $162K/yr

Good skills on Java or Python frameworks such as Java Springboot or Python FastAPI * Strong AI Engineering Skills with knowledge on Agent Development, RAG based system development * Experience in ...

Develop efficient, well-documented Python code for training, inference, and evaluation pipelines ... Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit. Qualifications ...

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

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 ...

Integration Engineer II

Hartford, CT

$104K - $141K/yr

Build backend services and APIs using Python (e.g., FastAPI, Django, Flask), Javascript, Azure, Typescript or using enterprise integration tools like MuleSoft , Apigee, Kong, Workato, BizTalk.

Fastapi Python information

See Hartford, CT salary details

$13

$59

$87

How much do fastapi python jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for fastapi python in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What are popular job titles related to Fastapi Python jobs in Hartford, CT? For Fastapi Python jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Hartford, CT look for? The top searched job categories for Fastapi Python jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Fastapi Python jobs? Cities near Hartford, CT with the most Fastapi Python job openings:
Infographic showing various Fastapi Python job openings in Hartford, CT as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.

Back End Engineer

Saransh Inc

Hartford, CT • On-site

Contractor

Re-posted 29 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