Software Python Engineer (GPU Cloud)
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Before you apply
LocationGermany, ge
Work moderemote · Georgia
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentDev Team C (Instances)
Company size501–1,000 people
PostedAug 21, 2026 · 2mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Available only under an employment (labor) agreement
Skills
Python
OpenStack
Kubernetes
KVM
QEMU
libvirt
PCI passthrough
vGPU
MIG
NVIDIA drivers
CUDA
NVML
DCGM
GPU Operator
Kubernetes device plugins
Ceph
InfiniBand
RDMA
RoCE
GPUDirect
Terraform
Ansible
Helm
GitOps
CI/CD
Go
Linux
BMC
Redfish
GPU
distributed systems
control plane
hypervisors
networking
storage
hardware
Benefits
Competitive salary
Flexible hours
Work from anywhere
Remote stipend
Private medical insurance
Vacation days
Sick leave
Language classes
Office space
Company Description
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).
Job Description
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.
Qualifications
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.
Additional Information
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.