📋 Description

• Build Python services and APIs for lifecycle of GPU VMs and bare-metal servers
• Develop workflows for provisioning, placement, maintenance, quarantine, and recovery
• Improve capacity tracking, scheduling, and availability to customers
• Integrate new GPU servers into OpenStack and connect with Kubernetes services
• Automate host validation, image prep, driver installation, and production checks
• Improve testing, observability, deployment safety, and operational tooling

🎯 Requirements

• 5+ years of production code experience
• Strong Python skills; APIs, backend services, or distributed systems
• Hands-on OpenStack or cloud control plane experience
• Solid Linux, networking, and compute virtualization knowledge
• Practical Kubernetes and containerized workloads experience
• Experience owning production services for reliability and scale

🎁 Benefits

• Competitive salary
• Flexible working hours
• Remote, hybrid, or office options depending on role
• Work from anywhere in the world for up to 45 days/year
• Private medical insurance for you and family
• 5 additional vacation days and additional fully paid sick leave