G
Software Python Engineer (GPU Cloud)
Contract type
Ongoing
Work mode
Remote
Experience
Senior · 5+ years
Job description
Software Python Engineer (GPU Cloud) at Gcore, building Python services and APIs for the lifecycle of GPU virtual machines and bare-metal servers. The role focuses on provisioning, capacity management, OpenStack/Kubernetes integration, and production reliability.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote
What you'll do
- Build Python services and APIs for the lifecycle of GPU virtual machines and bare-metal servers.
- Develop workflows for provisioning, placement, maintenance, quarantine, and recovery.
- Improve how capacity is tracked, scheduled, and made available to customers.
- Integrate new GPU servers and configurations into OpenStack and connect them with Gcore's Kubernetes services.
- Automate host validation, image preparation, driver installation, and production readiness checks.
- Improve testing, observability, deployment safety, and operational tooling.
- Investigate production issues across the control plane, hypervisors, networking, storage, and hardware.
- Work closely with compute, Kubernetes, networking, SRE, hardware, and product teams.
- Own projects from design and implementation through rollout and production operation.
What we're looking for
- 5+ years of experience writing reliable, well-tested production code.
- Strong Python skills and experience building APIs, backend services, or distributed systems.
- Hands-on experience with OpenStack or another cloud control plane.
- Good understanding of Linux, networking, and compute virtualization.
- Practical experience with Kubernetes and containerized workloads.
- Experience owning production services where reliability and scale are important.
- Ability to debug complex problems across multiple layers of a system.
- Good communication skills and a collaborative approach to engineering.
Nice to have
- Experience with KVM, QEMU, libvirt, PCI passthrough, vGPU, or MIG.
- Experience with NVIDIA drivers, CUDA, NVML, DCGM, GPU Operator, or Kubernetes device plugins.
- Experience with bare-metal provisioning, BMC, Redfish, firmware, or hardware validation.
- Experience with Ceph, InfiniBand, RDMA, RoCE, or GPUDirect.
- Experience with Terraform, Ansible, Helm, GitOps, or CI/CD tooling.
- Experience with Go or another systems programming language.
- Contributions to OpenStack, Kubernetes, Linux, or other open-source infrastructure projects.
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*
Apply
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. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs.
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