> Markdown version of [/jobs/ext/3692725-technical-test-lead-opensystem-python-opensystem](https://www.wearedevelopers.com/jobs/ext/3692725-technical-test-lead-opensystem-python-opensystem). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Test Lead | OpenSystem | Python - OpenSystem - **Company:** Ipolarity LLC - **Location:** Johns Creek, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, DevOps, Python (Programming Language), Software Engineering, Data Logging, Generative AI, Agentic-AI, Fastapi, Containerization, Api Design, Docker, Microservices - **Published:** October 11, 2026 - **Apply:** https://www.careerjet.com/jobad/us40cc21c292199b1a7114567245ecd342 ## About the Role Strong hands-on experience in Python and Generative AI. Experience with FastAPI and Microservices development. Good understanding of Docker, containerization, and CI/CD processes. Experience building, deploying, and optimizing AI agents. Knowledge of monitoring, logging, and observability practices. Understanding of Quality Engineering and test automation concepts. Strong problem-solving and communication skills. Experience 8+ years of software development experience. Hands-on experience in GenAI, Python, API development, and cloud-native solutions preferred. Minimum years of experience 8-10 years Certifications Needed :No Top 3 responsibilities you would expect the Subcon to shoulder and execute Technical Lead for team Strong Developer Skills Able to handle offshore team ## Description Develop AI agents and GenAI solutions using Python. Build and maintain APIs using FastAPI and Microservices architecture. Deploy and manage applications using Docker and CI/CD pipelines. Analyze requirements from a Quality Engineering perspective and identify automation opportunities. Design, build, and deploy QE-focused AI agents. Optimize existing agents for performance, scalability, and reliability. Implement monitoring, logging, and observability for AI solutions. Collaborate with QE, Development, and DevOps teams to deliver enterprise-grade solutions.