DevOps Engineer (AI Inference)

📋 Description

• Design, deploy, and maintain infrastructure for AI inference workloads on-premises
• GPU scheduling, model deployment pipelines, data access patterns in on-prem environments
• Build and manage monitoring and observability tools for AI inference platforms
• Collaborate with ML engineers and platform teams to design system architecture for AI workloads

🎯 Requirements

• Strong Kubernetes architecture knowledge (CNI, CSI, operators, ingress/gateway, control plane)
• Hands-on production Kubernetes cluster troubleshooting
• Linux networking skills: DNS, routing, firewalling, TLS, MTU, connectivity
• Automation with Python, Go, or Bash
• Experience with Terraform, Ansible, or similar IaC tools
• Experience with VictoriaMetrics/Grafana or similar monitoring tools

🎁 Benefits

• Competitive compensation
• Flexible working hours and remote options
• Work from anywhere in the world for up to 45 days per year
• Private medical insurance for you and your family
• Additional vacation and sick leave, life event support
• Language courses and modern offices with snacks