AI Solution Architect
Gcore
full-time
Posted on:
Location Type: Remote
Location: Cyprus
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About the role
- 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
- 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
- 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*
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