DevOps Engineer (AI Inference)

Description: Responsible for designing, deploying, and maintaining infrastructure and services for scalable and secure AI inference workloads on-premises. Collaborate with ML engineers and platform teams to design system architecture and integrate inference runtimes. Requirements: Strong understanding of Kubernetes architecture and hands-on experience with production Kubernetes clusters. Proficient in Linux and networking troubleshooting, automation using Python, Go, or Bash, and experience with IaC tools like Terraform or Ansible. Familiarity with monitoring tools like VictoriaMetrics/Grafana and Git-based workflows with CI/CD pipelines. Benefits: Competitive compensation and flexible working hours with hybrid or remote options. Work from anywhere for up to 45 days per year, private medical insurance, extra paid vacation, and support for life’s important moments.