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# Python Backend Engineer

- **Company:** CGI Technologies and Solutions, Inc.
- **Location:** Bloomfield, CT, United States
- **Experience:** Expert
- **Salary:** $80,600.0 - $188,100.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Application Release Automation, Cloud Computing, Continuous Integration, Data Security, Relational Databases, Database Models, DevOps, Github, Python (Programming Language), PostgreSQL, Cloud Services, Standard Sql, Application Data, Software Deployment, SQL Databases, SQLAlchemy, Load Balancing, Delivery Pipeline, Reliability of Systems, Database Performance, Backend, Fastapi, Amazon Relational Database Service, Deployment Automation, Api Design, Api Gateway, Restful APIs
- **Published:** May 22, 2026
- **Apply:** https://www.juju.com/job/00000000g1h60h

## About the Role

The ideal candidate should have strong backend engineering experience along with hands-on exposure to AWS infrastructure and deployment pipelines., 5+ years of experience in Python backend development

. Strong hands-on experience with FastAPI

. Experience with REST API development

. Strong SQL and relational database knowledge

. Experience with PostgreSQL

. Hands-on experience with SQLAlchemy ORM

. Experience with AWS cloud services, + Python

 + DevOps

 + FastAPI

 + Amazon Web Services Cloud

 + SQL

## Description

CGI is seeking a talented Python Backend Engineer with expertise in FastAPI, AWS Cloud Services, and DevOps practices to build scalable and cloud-native backend applications. The candidate will be responsible for API development, cloud deployments, CI/CD automation, and backend optimization., Develop and maintain backend services using Python and FastAPI

. Design and implement scalable REST APIs

. Create and maintain database models using SQLAlchemy ORM

. Develop optimized SQL queries and relational data models

. Integrate backend services with external systems and APIs

Database Management

. Work with PostgreSQL databases for application data storage

. Ensure database performance, integrity, and scalability

. Implement data access layers and schema migrations

AWS & DevOps

. Deploy applications using Amazon ECS

. Manage container images using Amazon ECR

. Configure and maintain API Gateway and Application Load Balancer (ALB)

. Work with Amazon RDS and Amazon S3

. Build and maintain automated deployment pipelines using GitHub Actions

. Implement CI/CD best practices and release automation

System Reliability & Monitoring

. Monitor application health and performance

. Troubleshoot production issues and optimize backend services


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