Software Golang Engineer (Slurm)

Stack

Responsibilities

• ▹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, and DCGM

Requirements

• ▹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 just another system daemon
• ▹Excellent communication skills and 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 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

Soft skills

What we offer

• ▹Competitive compensation
• ▹Flexible working hours, hybrid or remote options depending on the role
• ▹Work from anywhere in the world for up to 45 days per year
• ▹Private medical insurance for the employee and their family

About the company

Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, with 210+ edge locations, 50+ cloud regions, and thousands of GPUs, partnering with technology companies such as Intel, NVIDIA, Dell, and Equinix. Its team includes 550+ professionals.