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# Software Python Engineer

- **Company:** Jobposting
- **Location:** Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Nvidia CUDA, Software Debugging, Linux, Distributed Systems, Firmware, InfiniBand, Python (Programming Language), Kernel-Based Virtual Machine, Network Control, Open Source Technology, OpenStack, Quick EMUlator (QEMU), Remote Direct Memory Access, Ansible, System Programming, Virtual Machines, Ceph (Software), Hardware Testing, Backend, Containerization, Kubernetes, Production Code, Bare Metal, Azure AKS, Api Design, Terraform
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/software-python-engineer-gpu-cloud-gcore-9563182

## About the Role

* 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.

## 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 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.


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