Python Developer: FastAPI, Beanie & MongoDB (Hybrid)

Gov Services Hub; Georgia; Hybrid; USD 110,000 - 150,000; Full time

Job summary

Gov Services Hub in Alpharetta, GA is seeking a Python Developer (FastAPI, Beanie) to build and maintain API microservices within the Data Protection Dev Squad. The role emphasizes secure data handling and collaboration across DevOps and security practices in a hybrid environment.

The position requires strong Python development skills, experience with FastAPI and MongoDB, and a proactive approach to automation, testing, and observability in a regulated enterprise setting.

Qualifications

• Development: Python, FastAPI, Beanie.
• DevOps: Git, Jenkins, Test Automation.
• OS: Linux (in-depth), Windows.
• Agile: Jira.
• Database: MongoDB.
• Networking: Troubleshooting and debugging.
• Security Practices: Knowledge of critical cyber security controls.
• AI SDLC: Secure and governed use of AI across the lifecycle.

Responsibilities

• Onboard new and maintain existing API microservices to support business needs and integrate with the tech ecosystem focused on sensitive data detection across all data.
• Support Development & Operational tasks involved in data security services, including DevOps tasks and on-call rota.
• Develop automation scripts and observability solutions to improve service reliability.
• Participate in design and code reviews across the Data Protection Dev squad and stakeholder groups.
• Engage in agile ceremonies and knowledge sharing across squads and chapters.

Skills

Python

FastAPI

Beanie

Git

Jenkins

Test Automation

Linux

Windows

Jira

MongoDB

Networking

Security

AI SDLC

Job description

Gov Services Hub in Alpharetta, GA is seeking a Python Developer (FastAPI, Beanie) to build and maintain API microservices within the Data Protection Dev Squad. The role emphasizes secure data handling and collaboration across DevOps and security practices in a hybrid environment.

The position requires strong Python development skills, experience with FastAPI and MongoDB, and a proactive approach to automation, testing, and observability in a regulated enterprise setting.