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Software Golang Engineer (Slurm)

Gcore  ·  Cyprus, ge
Remote Full-time Not specified Engineering

Job Description

What You’ll Do

  • 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

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 forAI, cloud, network, and security,powering everything from real-time communication and streaming to enterprise AI and secure web applications. With210+ 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 asIntel, 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 of550+professionals building infrastructure and software that supports the entire digital ecosystem.

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Benefits

  • 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*

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 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