Teams at Gcore

Develop Kubernetes-native AI infrastructure using Go, including inference and training products, controllers, operators, APIs, CLIs, and developer tools. Optimize serverless container workflows, GPU scheduling, workload scaling, reliability, security, and distributed systems performance. Collaborate on cloud-native technologies and Kubernetes ecosystem advancements. Required experience includes Go, Kubernetes development, Kubernetes APIs and CRDs, Docker, Helm, and cloud-native architecture; Python, AI/ML frameworks, GPU optimization, and open-source contributions are preferred.

Troubleshoot and proactively maintain server hardware in data centers, diagnose issues, collaborate with vendors and data center personnel, document configurations and resolutions, and improve hardware maintenance processes. The role also supports GPU clusters, networking infrastructure, spare-parts optimization, and potential automation using Bash, Python, and AI.

Build and maintain software for network configuration, monitoring, validation, testing, and automation. Integrate network automation into engineering deployment pipelines and automate software development, release, and operations. Support Linux environments and containerized network services, monitor infrastructure health, research automation technologies, and improve the reliability and scalability of mission-critical systems.