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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer (React, Python, Fast API) - **Company:** CGI Technologies and Solutions, Inc. - **Location:** Bloomfield, CT, United States - **Experience:** Expert - **Salary:** $80,600.0 - $211,600.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Profiling, Database Queries, DevOps, Distributed Systems, Django Web Framework, Github, Graph Database, Python (Programming Language), PostgreSQL, Meta-Data Management, Neo4j, Performance Tuning, Query Optimization, Software Engineering, SQL Databases, SQLAlchemy, TypeScript, ReactJS, Flask (Web Framework), Large Language Models, Apache Spark, Indexer, Backend, Gitlab, Fastapi, Containerization, Material UI, Kubernetes, Information Technology, Production Code, AWS Glue, Machine Learning Operations, Front End Software Development, React Redux, Functional Programming, Api Design, Restful APIs, Data Pipelines, Docker, Jenkins, Microservices - **Published:** June 12, 2026 - **Apply:** https://www.juju.com/job/00000000g7ff43 ## About the Role We CGI is seeking a highly skilled and experienced Full Stack Engineer (React, Python, FAST API) for an enterprise AI-powered metadata management platform. This is a hands-on development role requiring someone who can actively build and deliver features across the full stack. The candidate will contribute to scalable solutions, write clean production-ready code, and collaborate effectively with product, data, and AI teams., At least 8+ years of overall software development experience required and must have skills: Design and operate scalable backend systems with asynchronous processing, strong data integrity, observability, performance optimization, and safe deployment practices in production environments. Hands-On Development: Implement features across frontend (React) and backend (Python/FastAPI) Backend (Core) - Python - FastAPI / Django / Flask - RESTful APIs - Design and implementation - SQLAlchemy ORM - Async programming (async/await) Frontend (Core) - React - Modern React with hooks - JavaScript / TypeScript - State management (Redux / Context API) - Material-UI or similar component libraries Database - PostgreSQL - Production experience, query optimization - SQL - Complex queries, indexing, schema design Cloud & DevOps - AWS - Hands-on with multiple services (EC2, S3, Lambda, Glue, EKS) - Docker - Containerization - Kubernetes / EKS - Container orchestration - CI/CD - Jenkins / GitLab / GitHub Actions Architecture - Microservices - Experience working in distributed systems - System design - Scalability, performance, reliability - API patterns - REST best practices Data Engineering - AWS Glue or Apache Spark - ETL / ELT pipelines - Data profiling and quality assessment Good to Have: AI / ML Integration - LangChain or LLM orchestration frameworks - OpenAI API integration experience Specialized Databases - Neo4j or graph databases (Cypher) - Vector databases (Pinecone, Weaviate, pgvector), Education: Bachelor's degree in computer science or related field, + Python + SQL + Amazon Web Services Cloud + Postgre SQL + React JavaScript + LangChain + OpenAI + RESTful (Rest-APIs) ## Description Hands-On Development - Implement features across frontend (React) and backend (Python/FastAPI) - Optimize performance of APIs, database queries, and UI components Collaboration - Translate product requirements into technical implementations - Work closely with product, data, and AI teams ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)