Software Python Engineer (GPU Cloud)
TLDR
Build Python services and APIs for GPU virtual machines and bare-metal servers, integrating GPU configurations into OpenStack and Kubernetes.
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
At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work:
- 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*
*Please be aware that this benefit may vary depending on your country.
Equal Opportunity Employer
We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
Benefits
Flexible Work Hours
Flexible working hours
Free Meals & Snacks
Team sports activities*
Health Insurance
Private medical insurance for you and your family*
Learning Budget
Language classes
Paid Time Off
Additional fully paid sick leave days*
Remote-Friendly
Work from anywhere in the world for up to 45 days per year
Wellness Stipend
Allowance for significant life events and birthdays
Gcore builds a comprehensive infrastructure and software suite that powers the digital experiences of AI, cloud, network, and security services. Aimed at global enterprises, its solutions enhance everything from real-time communications to secure web applications. With a focus on reliability and performance, Gcore stands out as a go-to partner for businesses navigating the demands of the digital landscape.
- Founded
- Founded 2014
- Employees
- 201-500 employees
- Industry
- information technology and services
- Funding stage
- Series A
- Total raised
- $60M raised