DevOps with solid backend exp

• Ability to work 2:00 p.m. - 10:00 p.m. (CEST)
• Practice with Python and backend frameworks like FastAPI or Django
• Min. 4 years as a DevOps Engineer.
• Experience with AWS, K8s and Terraform.

Nice to have:

• BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field

You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
Currently, we are developing advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models. The company’s mission is to enable safe, verifiable, and aligned AGI through rigorous, real-world agent evaluation.

Due to the client’s time zone, we would appreciate a candidate who can work until 10:00 p.m.

Join us and make a real impact!

If you’re ready to broaden your horizons and work with an innovative company at the forefront of AI, we’d love to hear from you. You’ll help build the environments that shape how future AI systems are trained, evaluated, and aligned - and collaborate with world-class engineers and researchers on one of the most important technical challenges of our time.

,[Design and maintain cloud infrastructure on AWS, Improve Kubernetes operations (EKS and GKE), Take care of CI/CD processes and automate deployments, Drive Infrastructure as Code practices using Terraform, Produce high-quality, reproducible, production-level code that integrates cleanly into our client’s systems, Work with customers on environment integrations, stepping in hands-on to unblock the team as needed] Requirements: Python, FastAPI, AI, AWS, Kubernetes, Terraform Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects.