Company Description

Have you ever wondered why your favorite apps, social media content, and video games load in the blink of an eye? It's likely because of Gcore behind the scenes!

Join a team that collaborates with industry giants like Intel, Dell, NVIDIA, and Equinix to accelerate AI training, provide cutting-edge cloud services, and optimize content delivery.

If you are passionate about transforming the internet and contributing to cutting-edge innovations, come join us at Gcore!

We are over 550 professionals and currently looking for a Software Golang Engineer (Kubernetes) to join our Edge Cloud Team.

Job Description

Your 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

Qualifications

Qualifications:

• Strong proficiency in Go programming, with experience in Kubernetes development, including controllers and operators.
• Deep understanding of Kubernetes architecture, resource management, and container orchestration.
• Experience working with Kubernetes APIs and custom resources (CRDs).
• Solid knowledge of cloud-native technologies and frameworks, including Docker and Helm.
• Strong problem-solving skills, with a passion for tackling complex challenges in distributed systems.
• Excellent communication skills and the ability to thrive in a collaborative, team-oriented environment.

Nice to Have:

• Experience with Python programming language
• Experience with developing AI/ML pipelines or integrating AI frameworks (e.g., TensorFlow, PyTorch) into Kubernetes.
• Understanding of GPU scheduling and optimization in Kubernetes environments.
• Knowledge of security best practices in Kubernetes, including role-based access control (RBAC) and container security.
• Contributions to open-source Kubernetes projects or cloud-native communities.

Additional Information

What We Offer:

We value our employees and offer a benefits package designed to support your health, well-being, and professional growth throughout your journey at Gcore:

• Competitive salary
• Flexible working hours
• Remote, hybrid, or office work options depending on your role
• Work from anywhere in the world for up to 45 days per year
• Private medical insurance for you and your family*
• 5 additional vacation days*
• Additional fully paid sick leave days*
• Allowance for significant life events and birthdays
• Language classes
• Modern office space with free snacks, drink and entertainment options*
• Team sports activities*

*Please be aware that this benefit may vary depending on your country.

About the Company

Gcore is an international cloud and edge leader in providing first-class web performance, content delivery, and security. Headquartered in Luxembourg, with offices around the world, the company provides its solutions to global leaders in numerous industries.

Millions of people worldwide use apps and play games based on our infrastructure and services: we are trusted by World of Tanks, Albion Online, Avast, Photon, Unity, Sandbox Interactive, and others.

Equal Opportunity Employer

We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.