The world's digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. AtGcore,you'llhelp design and deliver that foundation for an AI-driven world.

We'rea 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'llcollaborate 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 beyonda single productor industry? Join a global team of550+ professionalsbuilding infrastructure and software that supports the entire digital ecosystem.

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

Qualifications

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

Additional Information

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 to45 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.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

#J-18808-Ljbffr

G-CORE INNOVATIONS SOCIETE A RESPONSABILITE LIMITEE