Software Engineer, Python, GPU Cloud

Job not on LinkedIn

🔥 0 minutes ago

🌐 Germany, Poland, +3 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

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Logo of Gcore

Gcore

201 - 500 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gcore is a global provider of cloud, edge, and AI solutions that accelerate AI training, deliver comprehensive cloud services, enhance content delivery, and protect servers and applications. With over 180 points of presence worldwide and a network capacity of 200+ Tbps, Gcore offers secure, flexible, and scalable infrastructure services. Its integrated offerings, including Edge Cloud, Edge Network, Edge Security, and AI Infrastructure, are designed to meet the needs of businesses looking to scale and control their global infrastructure efficiently. Gcore also provides robust DDoS protection and origin shielding to ensure uninterrupted online operations, making it a trusted partner for thousands of businesses worldwide.

📋 Description

• 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 capacity tracking, scheduling, and availability for 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

🎯 Requirements

• 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 • Experience with KVM, QEMU, libvirt, PCI passthrough, vGPU, or MIG is nice to have • Experience with NVIDIA drivers, CUDA, NVML, DCGM, GPU Operator, or Kubernetes device plugins is nice to have • Experience with bare-metal provisioning, BMC, Redfish, firmware, or hardware validation is nice to have • Experience with Ceph, InfiniBand, RDMA, RoCE, or GPUDirect is nice to have • Experience with Terraform, Ansible, Helm, GitOps, or CI/CD tooling is nice to have • Experience with Go or another systems programming language is nice to have • Contributions to OpenStack, Kubernetes, Linux, or other open-source infrastructure projects are nice to have • Position available only under an employment (labor) agreement

🏖️ 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* • Benefits may vary depending on your country

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