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 for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ 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 as Intel, 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 of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. 

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

What We're Looking For

• 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

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

Benefits 

At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work: 

• 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* 

*Benefits may vary depending on your location. 

Equal Opportunity Employer 

We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.