Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Gcore

DevOps Engineer – AI Inference

Gcore

DevOps Engineer for Gcore designing and maintaining infrastructure for AI inference workloads. Collaborating with ML engineers and platform teams on scalable AI solutions.

Posted 7/1/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AnsibleCloudDockerGoKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact
  • Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments
  • Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance
  • Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale

Requirements

What you’ll need
  • Hands-on experience deploying, operating, and troubleshooting Kubernetes clusters, including Helm, Docker, or CRI-O.
  • Strong understanding of Linux systems and networking concepts, including troubleshooting connectivity and performance issues.
  • Ability to develop automation and operational tooling using Python, Go, or Bash.
  • Experience provisioning and managing infrastructure with tools such as Terraform and Ansible.
  • Experience designing, implementing, and maintaining CI/CD pipelines using GitLab CI or GitHub Actions.
  • Preferred Qualifications
  • Experience operating or administering Slurm clusters.
  • Experience with Cluster API (CAPI) or other Kubernetes cluster lifecycle management ("Kubeception") technologies.
  • Deep understanding of Kubernetes internals, including CNI, CSI, Operators, and cluster architecture.
  • Nice to Have
  • Experience with Kubernetes ecosystem tools such as Argo CD and Helmfile.
  • Experience with Prometheus.
  • Familiarity with other Cloud Native technologies

Benefits

Comp & perks
  • Competitive compensation
  • Flexible working hours and hybrid or remote options, depending on your role
  • Work from anywhere in the world for up to 45 days per year
  • Private medical insurance for you and your family*
  • Extra paid vacation and sick leave days*
  • Support for life’s important moments and celebrations
  • Language courses to help you connect and grow
  • Modern, welcoming offices with snacks, drinks, and entertainment*
  • Team sports and social activities*

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
KubernetesPythonGoBashTerraformAnsibleGitLab CIGitHub ActionsLinux SystemsNetworking Concepts