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Gcore

AI Solution Architect

Gcore

AI Solution Architect at Gcore designing GPU infrastructures and deploying AI solutions globally. Collaborating with clients to deliver scalable, automated solutions for AI workloads.

Posted 4/17/2026full-timeRemote • 🇨🇾 CyprusMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AnsibleCloudGoKubernetesNode.jsPythonTerraform

About the role

Key responsibilities & impact
  • Design end-to-end GPU cluster architectures (on-premises and cloud) using Ansible, Terraform, Kubernetes, and Slurm
  • Lead technical deep-dives, conduct workshops, and present solutions to stakeholders at all levels
  • Build and maintain Infrastructure as Code modules to automate provisioning, scaling, and monitoring of GPU resources
  • Produce whitepapers, runbooks, and training materials; host webinars and training sessions
  • Partner with Gcore's engineering and product teams to relay customer insights and drive product enhancements

Requirements

What you’ll need
  • 3+ years in Cloud or GPU AI Infrastructure DevOps
  • Proven track record deploying GPU clusters at scale, including multi-node, multi-GPU setups
  • Hands-on with Ansible or similar configuration management tools; Terraform (IaC)
  • Strong familiarity with Kubernetes (K8s) and Slurm
  • Proficient in Python / Go
  • Solid understanding of ML ecosystems—models, tooling, and production deployment patterns

Benefits

Comp & perks
  • Competitive salary
  • Flexible working hours
  • Remote, hybrid, or office work 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*
  • 5 additional vacation days*
  • Additional fully paid sick leave days*
  • Allowance for significant life events and birthdays
  • Language classes
  • Modern office space with free snacks, drink and entertainment options*
  • Team sports activities*

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills & Tools
GPU cluster architectureInfrastructure as CodeAnsibleTerraformKubernetesSlurmPythonGoML ecosystemsproduction deployment patterns
Soft Skills
leadershipcommunicationworkshop facilitationstakeholder engagementtraining development