Golang AI Infra Engineer — Kubernetes & GPU Training

Webhosting; Poland; Remote; PLN 180,000 - 280,000; Full time

Job summary

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 optimized for Kubernetes, from autoscaling inference servers to distributed GPU training jobs.

You will write Go code powering Kubernetes controllers, operators, and custom resources, and build APIs, CLIs, and developer tools to streamline deployment, lifecycle management, and monitoring of AI applications.

Responsibilities

• Design and implement AI inference and model training cloud products optimized for Kubernetes – from autoscaling inference servers to distributed training jobs across GPU fleets
• Write clean, efficient, and maintainable Go code to power Kubernetes controllers, operators, and custom resources supporting AI workloads
• Build APIs, CLIs, and developer tools that simplify the deployment, lifecycle management, and monitoring of AI applications
• Develop features that optimize serverless container workflows for AI, ensuring fast cold starts, resource-efficient scaling, and workload isolation
• Contribute to system performance, reliability, and security, with a focus on AI-specific challenges such as GPU scheduling, job orchestration, and data throughput
• Stay on top of Kubernetes ecosystem advancements (e.g., K8s-native ML tooling, scheduling improvements, SIGs) and influence our product roadmap accordingly

Job description

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 optimized for Kubernetes, from autoscaling inference servers to distributed GPU training jobs.

You will write Go code powering Kubernetes controllers, operators, and custom resources, and build APIs, CLIs, and developer tools to streamline deployment, lifecycle management, and monitoring of AI applications.