Software Python Engineer
Jobposting
Germany
19 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source
Tech stack
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
+15 more
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
Job 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.
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.
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 & conditions
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.
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