DevOps Engineer – AI Inference
Gcore
Description du poste
About the role
Gcore is looking for a DevOps Engineer to join its AI Inference Operations Team. You will design, deploy and maintain the infrastructure that powers scalable and secure AI inference workloads on‑premises, working with cutting‑edge GPU and networking technologies.
Key responsibilities
- Design, develop and maintain on‑prem infrastructure for AI inference, including GPU scheduling, model deployment pipelines and data access patterns.
- Build and operate monitoring and observability tools (dashboards, alerts, runbooks) to ensure model health and system performance.
- Collaborate with ML engineers and platform teams to define system architecture, integrate inference runtimes and test performance at scale.
Required profile
- Strong understanding of Kubernetes architecture (CNI, CSI, operators, ingress/gateway, control‑plane components).
- Hands‑on experience operating and troubleshooting production Kubernetes clusters.
- Deep Linux and networking troubleshooting skills (DNS, routing, firewalling, TLS, MTU, connectivity).
- Ability to develop automation tooling using Python, Go or Bash.
Required skills
- Kubernetes, Terraform, Ansible
- Python, Go, Bash
- VictoriaMetrics, Grafana
- Git‑based workflows, CI/CD pipelines
- Argo CD, Helm, Helmfile
What we offer
- Competitive compensation
- Flexible working hours with hybrid or remote options
- Ability to work from anywhere up to 45 days per year
- Private medical insurance for you and your family
- Extra paid vacation and sick leave days
- Language courses, modern offices with snacks and entertainment, team sports and social activities
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