Go Engineer for Kubernetes AI Infrastructure

Gcore; Polska; Hybrid; PLN 466.000 - 700.000; Vollzeit

Benefits dieser Stelle

Competitive pay

Hybrid/Remote options

Work from anywhere up to 45 days

Private medical insurance

Extra paid vacation

Life events support

Language courses

Modern offices

Team activities

Zusammenfassung

Gcore, a global provider of AI infrastructure, is seeking an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.

You will design and implement cloud-based AI services, write Go code for controllers and operators, and develop APIs and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.

Qualifikationen

• Strong Go programming with Kubernetes development experience.
• Understanding of Kubernetes architecture, resource management, and container orchestration.
• Experience with Kubernetes APIs and CRDs.
• Knowledge of cloud-native technologies including Docker and Helm.
• Strong problem-solving skills for distributed systems.
• Excellent communication and collaboration in a team.

Aufgaben

• Design and implement AI inference and model training cloud products optimized for Kubernetes.
• Write Go code for Kubernetes controllers, operators, and CRDs.
• Build APIs, CLIs, and tools to deploy, manage, and monitor AI applications.
• Develop features for serverless container workflows for AI with fast cold starts and efficient scaling.
• Contribute to performance, reliability, and security, including GPU scheduling and data throughput.
• Stay updated on Kubernetes ecosystem advancements and influence product roadmap.

Kenntnisse

Go programming

Kubernetes development

Kubernetes controllers & operators

Kubernetes APIs & CRDs

Cloud-native tech (Docker, Helm)

Distributed systems

Communication

Tools

Docker

Helm

Jobbeschreibung

Gcore, a global provider of AI infrastructure, is seeking an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.

You will design and implement cloud-based AI services, write Go code for controllers and operators, and develop APIs and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.