DevOps Engineer (AI Inference)

Contract type
Ongoing
Work mode
Remote
Experience
3 years

Job description

A DevOps Engineer role in Gcore's AI Inference Operations Team, responsible for designing, deploying, and maintaining on-premises infrastructure and services for scalable and secure AI inference workloads.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote

What you'll do

  • 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

What we're looking for

  • Strong understanding of Kubernetes architecture, including CNI, CSI, operators, ingress/gateway, and control plane components
  • Hands-on experience operating and troubleshooting production Kubernetes clusters
  • Strong Linux and networking troubleshooting skills, including DNS, routing, firewalling, TLS, MTU, connectivity and performance issues
  • Ability to develop automation and operational tooling using Python, Go, or Bash
  • Experience with Terraform, Ansible, or similar IaC/configuration management tools
  • Experience with VictoriaMetrics/Grafana or similar monitoring, alerting, and troubleshooting tools
  • Strong experience with Git-based workflows and CI/CD pipelines

Nice to have

  • Familiarity with Cluster API or similar Kubernetes cluster lifecycle management technologies
  • Hands-on operation or administration of Slurm clusters
  • Knowledge of Argo CD, GitOps workflows, Helm, or Helmfile
  • Background working with managed platforms, PaaS, or cloud services
  • Exposure to bare metal, GPU, HPC, or other high-performance computing environments
  • Familiarity with the NVIDIA GPU stack, RDMA/InfiniBand, or high-performance networking
  • Knowledge of OpenStack or similar cloud infrastructure platforms
  • Hands-on experience developing Kubernetes operators or controllers

Your team

AI Inference Operations Team

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About Gcore

Connect the world to AI, anywhere, anytime

A global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications.

Mission

To connect the world to AI, anywhere, anytime.

Key facts

  • 550+ professionals
  • Infrastructure and software solutions for AI, cloud, network, and security
  • 210+ edge locations
  • 50+ cloud regions
  • Thousands of GPUs

Partners & customers

IntelNVIDIADellEquinix