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# Senior 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:** Agile Methodology, Amazon Web Services, Amazon S3, Application Performance Management, Big Data, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Database Applications, Relational Databases, DevOps, Github, Python (Programming Language), PostgreSQL, Standard Sql, SQL Databases, SQLAlchemy, Apache Spark, Backend, Fastapi, Amazon Relational Database Service, Containerization, Pyspark, Kubernetes, Api Design, Api Gateway, Restful APIs, Data Pipelines, Docker, Databricks
- **Published:** May 22, 2026
- **Apply:** https://www.juju.com/job/00000000g1h5vv

## About the Role

CGI is seeking a highly skilled Senior Python Backend Engineer with strong expertise in FastAPI, Databricks, AWS Cloud Services, and DevOps practices. The ideal candidate will design and develop scalable backend services, build data-driven applications using Databricks and PySpark, and manage cloud-native deployments on AWS.

This role requires hands-on experience in API development, cloud infrastructure, CI/CD automation, and data engineering workflows., 5+ years of experience in Python backend development

. Strong experience with FastAPI

. Hands-on experience with PySpark and Databricks

. Strong knowledge of SQL, PostgreSQL, and relational data modeling

. Experience with SQLAlchemy ORM

. Experience with AWS services (ECS, ECR, API Gateway, RDS, S3, ALB)

. Knowledge of CI/CD frameworks and GitHub Actions

. Understanding of Docker and container orchestration, + Python

 + DevOps

 + FastAPI

 + Amazon Web Services Cloud

 + Apache Spark

 + Databricks

 + SQL

## Description

Design, develop, and maintain scalable backend applications using Python and FastAPI

. Build secure and high-performance REST APIs

. Develop database schemas, ORM models, and relational mappings using SQLAlchemy

. Work with PostgreSQL for transactional and analytical workloads

. Implement reusable, modular, and testable code

Databricks & Data Engineering

. Develop and optimize data pipelines using PySpark

. Work with Databricks Jobs and Workflows

. Manage and configure Unity Catalog

. Implement data governance and access control mechanisms

. Collaborate with data engineers and ML teams for large-scale data processing

AWS Cloud & DevOps

. Deploy and manage containerized applications using Amazon ECS

. Build and maintain CI/CD pipelines using GitHub Actions

. Manage Docker images and repositories using Amazon ECR

. Configure API Gateway, ALB, and secure routing mechanisms

. Work with Amazon RDS and S3 for storage and database management

. Monitor application performance and troubleshoot production issues

Collaboration & Best Practices

. Participate in architecture discussions and code reviews

. Follow DevOps and Agile development methodologies


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