Software Golang Engineer (Slurm)

Gcore

Contract type

Ongoing

Work mode

Hybrid

Experience

3 years

Job description

Submit and debug Slurm workloads using sbatch, srun, squeue, and sinfo in production environments
Build production-grade Kubernetes operators, controllers, CRDs, and reconciliation loops in Go
Preserve traditional Slurm cluster behavior while running underlying infrastructure on Kubernetes
Diagnose performance and reliability issues across GPUs, schedulers, hardware, high-performance networks, and distributed storage systems
Treat Slurm as a customer-facing platform with a product mindset and strong customer empathy
Take end-to-end ownership of complex distributed-system challenges with excellent communication
Company mission
Information not specified

Core technologies

GoKubernetes

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 (may vary by location)
Extra paid vacation and sick leave days (may vary by location)
Support for life's important moments and celebrations
Language courses to help you connect and grow
Modern, welcoming offices with snacks, drinks, and entertainment (may vary by location)
Team sports and social activities (may vary by location)

Hands-on experience using Slurm in production from a user's perspective, 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 rather than simply another system daemon
Excellent communication skills and the ability to take end-to-end ownership of complex distributed-system challenges
Experience operating large-scale HPC or GPU clusters for external customers
Experience with PyTorch distributed training and other 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
Go, Kubernetes, Slurm, PyTorch, InfiniBand, RoCE, RDMA, GPUDirect, Lustre, WEKA, Ceph
Go
Kubernetes