Software Python Engineer (GPU Cloud)

This position is available only under an employment (labor) agreement. The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world. We’re 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, your work here can reach users and businesses across the globe. You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime. Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. We are over 550 professionals and currently looking for a Software Python Engineer (GPU Cloud). 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.