Software Golang Engineer (Slurm)
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SeniorFull-time·Umowa o pracę
#448543·Dodano 15 dni temu·6
Źródło: justjoin.itTech Stack / Keywords
GolangKubernetesKubernetes OperatorsKubernetes ControllersKubernetes APIsCRDsSLURMGPUPythonPyTorch
Firma i stanowisko
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, operating with 210+ edge locations, 50+ cloud regions, and thousands of GPUs. The company collaborates with leading technology partners such as Intel, NVIDIA, Dell, and Equinix and has a global team of over 550 professionals.
Wymagania
- Hands-on experience using Slurm in production, including submitting and debugging workloads with sbatch, srun, squeue, and sinfo
- Strong proficiency in Go, with experience building production-grade Kubernetes operators, controllers, CRDs, and reconciliation loops
- Experience preserving traditional Slurm cluster behavior while running the underlying infrastructure on Kubernetes
- Experience diagnosing performance and reliability issues across GPUs, schedulers, hardware, high-performance networks, and distributed storage systems
- A product mindset and strong customer empathy, treating Slurm as a customer-facing platform
- Excellent communication skills and ability to take end-to-end ownership of complex distributed-system challenges
Nice to have:
- Experience operating large-scale HPC or GPU clusters for external customers
- Experience with PyTorch distributed training and large-scale AI/ML frameworks
- Experience with InfiniBand, RoCE, RDMA, GPUDirect, Lustre, WEKA, Ceph, or similar high-performance infrastructure
- Experience building unified job-submission workflows across Kubernetes and Slurm
- Experience in GPU-cloud or HPC product engineering environments
- Contributions to Slurm, Kubernetes, Soperator, or other cloud-native and HPC open-source projects
Obowiązki
- Design and build a managed Slurm service on Kubernetes
- Write clean, reliable, and maintainable Go code
- Develop scheduling and orchestration capabilities for GPU-intensive and distributed workloads
- Build observability and automated remediation for GPU, node, network, and control-plane failures using VictoriaMetrics, Grafana, DCGM
Benefity
- Competitive compensation
- Flexible working hours and hybrid or remote options depending on role
- Work from anywhere in the world for up to 45 days per year
- Private medical insurance for employee and family*
- Extra paid vacation and sick leave days*
- Support for important life moments and celebrations
- Language courses
- Modern offices with snacks, drinks, and entertainment*
- Team sports and social activities*
*Benefits may vary depending on location.
Elastyczne godziny
Opieka zdrowotna
Kursy językowe
Napoje w biurze
Darmowe przekąski
Karta sportowa
Inne informacje
Equal opportunity employment provided without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or other legally protected characteristics.
Gcore
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