DevOps with solid backend exp

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.

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

Nice to have:

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

• 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

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