Gcore

Build Kubernetes-native AI infrastructure in Go, including autoscaling inference servers, distributed training workloads, controllers, operators, and developer tooling. This role offers the opportunity to shape scalable AI cloud products across a global infrastructure platform.

Build a managed Slurm service on Kubernetes for GPU-intensive and distributed workloads using Go, production-grade operators, and advanced observability. This role combines HPC platform engineering, distributed systems, and customer-focused product ownership.

Build Python services and APIs that manage GPU virtual machines, bare-metal servers, and cloud infrastructure at global scale. You’ll own infrastructure projects from design through production operation while improving capacity, reliability, and customer availability.

Design and operate the infrastructure powering scalable, secure AI inference workloads on-premises. This DevOps role focuses on Kubernetes, GPU scheduling, observability, automation, and high-performance computing environments.

Build and operate Go-based traffic management infrastructure that controls routing across Gcore’s global edge fleet. You’ll develop APIs, edge agents, BGP and Anycast capabilities, and highly available failover systems.