Software Python Engineer (GPU Cloud)
G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE
⚲ Kraków
20 000 – 32 000 zł / mies.
Wymagania
- Python
- OpenStack
- Kubernetes
- Terraform
- Ansible
- Helm
- GitOps
- Go
Opis stanowiska
Nasze wymagania:
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.
Mile widziane:
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.
O projekcie:
We are over 550 professionals and currently looking for a Software Python Engineer (GPU Cloud).
Zakres obowiązków:
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.
Oferujemy:
Competitive compensation
Flexible working hours and hybrid or remote 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*
Extra paid vacation and sick leave days*
Support for life’s important moments and celebrations
Language courses to help you connect and grow
Modern, welcoming offices with snacks, drinks, and entertainment*
Team sports and social activities*
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.
Mile widziane:
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.
O projekcie:
We are over 550 professionals and currently looking for a Software Python Engineer (GPU Cloud).
Zakres obowiązków:
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.
Oferujemy:
Competitive compensation
Flexible working hours and hybrid or remote 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*
Extra paid vacation and sick leave days*
Support for life’s important moments and celebrations
Language courses to help you connect and grow
Modern, welcoming offices with snacks, drinks, and entertainment*
Team sports and social activities*
🔍 Dekoder Ogłoszenia
🔴
Ability to debug complex problems across multiple layers of a system
Może oznaczać częste gaszenie pożarów i pracę pod presją przy incydentach produkcyjnych
🔴
Experience owning production services where reliability and scale are important
Prawdopodobnie dyżury i odpowiedzialność za dostępność usług poza godzinami pracy