Golang Engineer: Kubernetes AI Infra & Inference

Gcore; Poland; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Competitive pay

Hybrid/Remote work

Private medical insurance

Extra vacation days

Language courses

Office snacks & events

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 and implement cloud products, write Go code for controllers and operators, and develop APIs, CLIs, and developer tools to simplify deployment and monitoring of AI applications.

Join a global team and influence our roadmap while ensuring performance, reliability, and security in AI workloads.

Qualifications

• Strong proficiency in Go and Kubernetes development.
• Experience with Kubernetes APIs and custom resources (CRDs).
• Cloud-native technologies including Docker and Helm.
• Excellent communication and collaborative skills.

Responsibilities

• Design and implement AI inference and model training cloud products optimized for Kubernetes, including autoscaling inference servers and distributed training jobs.
• Write clean, efficient Go code powering Kubernetes controllers, operators, and custom resources for AI workloads.
• Build APIs, CLIs, and developer tools to simplify deployment, lifecycle management, and monitoring of AI applications.
• Develop features to optimize serverless container workflows for AI, focusing on fast cold starts and scalable resource usage.
• Contribute to system performance, reliability, and security with AI-specific challenges like GPU scheduling and data throughput.
• Stay updated on Kubernetes ecosystem advancements and influence product roadmap accordingly.

Skills

Go

Kubernetes

CRDs

Cloud-native

Tools

Docker

Helm

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 and implement cloud products, write Go code for controllers and operators, and develop APIs, CLIs, and developer tools to simplify deployment and monitoring of AI applications.

Join a global team and influence our roadmap while ensuring performance, reliability, and security in AI workloads.