Looking for a DevOps Engineer for an AI platform implementation project

Experience: 4–5 years minimum Format: hybrid = remote + on-site visits to clients in Moscow Project duration: 6 months minimum Salary: from 200,000 RUB

⚡️ Important: some implementations take place in clients' closed environments. Approximately 60% of projects are remote, 40% are on-site in Moscow.

Requirements: ☑️Willingness to travel on-site to clients in Moscow for product implementation in closed environments. ☑️Practical experience deploying and operating Kubernetes in production. ☑️Confident command of Kubespray — independent cluster deployment from scratch, understanding of architectural components and their interaction. ☑️Experience working in closed (air-gapped) environments without internet access. ☑️Ability to independently prepare all necessary packages, images, and dependencies for offline deployment. ☑️Experience installing and configuring services in Kubernetes using Helm. ☑️Ability to debug and modify Helm charts on the fly during implementation. ☑️Confident knowledge of Linux, Ansible, Terraform, Docker/Container Registry. ☑️Skills in diagnosing and troubleshooting Kubernetes, Helm, Linux issues. ☑️Experience implementing solutions for clients. ☑️Ability to independently bring an implementation from infrastructure preparation to product launch and operation. ☑️Experience with various databases and services in Kubernetes is important: Kafka, ClickHouse, Postgres, Qdrant, Traefik, Opensearch, Nats, NACK ☑️Experience with KubeRay Operator, NVIDIA Device Plugin is important. ☑️Ability to configure nodes with GPUs (nvidia-container-toolkit). ☑️Experience with Openstack will be a plus.

📩 Apply: @Vika_sysoeva