Golang Engineer – Kubernetes AI Infrastructure

About the role

Gcore is seeking an experienced Golang Engineer to build Kubernetes‑native AI infrastructure and tooling for scalable inference and training workloads. You will design cloud products that run on a global edge network, enabling fast, reliable AI services for customers worldwide.

Key responsibilities

• Design and implement AI inference and model‑training cloud products optimized for Kubernetes, including autoscaling inference servers and distributed training jobs across GPU fleets.
• Write clean, efficient Go code for Kubernetes controllers, operators, and custom resources that support AI workloads.
• Develop APIs, CLIs, and developer tools that simplify deployment, lifecycle management, and monitoring of AI applications.
• Optimize serverless container workflows for AI, ensuring fast cold starts, resource‑efficient scaling, and workload isolation.
• Stay current with Kubernetes ecosystem advancements and influence the product roadmap.

Required profile

• Strong proficiency in Go programming with hands‑on experience building Kubernetes controllers and operators.
• Deep understanding of Kubernetes architecture, resource management, and container orchestration.
• Solid knowledge of cloud‑native technologies such as Docker and Helm.
• Excellent problem‑solving abilities and effective communication in a collaborative team environment.

Required skills

• Go
• Kubernetes (controllers, operators, CRDs)
• Docker
• Helm
• Python (nice to have)
• TensorFlow or PyTorch integration
• GPU scheduling and optimization
• RBAC and container security best practices

What we offer

• Competitive compensation and flexible working hours.
• Hybrid or remote work options, with the ability to work from anywhere up to 45 days per year.
• Private medical insurance for you and your family.
• Extra paid vacation, sick leave, language courses, and team‑building activities.