This position is available only under an employment (labor) agreement. The world’s digital experiences run on something invisible the infrastructure and software that keep them fast reliable and secure. At Gcore you’ll help design and deliver that foundation for an AI-driven world. We’re a global provider of infrastructure and software solutions for AI cloud network and security powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations 50+ cloud regions and thousands of GPUs your work here can reach users and businesses across the globe. You’ll collaborate with leading technology partners such as Intel NVIDIA Dell and Equinix and work on platforms that power digital products used around the world. Our vision is simple to connect the world to AI anywhere anytime. Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem. We're looking for an experienced Golang Engineer to build Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads.
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
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.
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.
At Gcore we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth well-being and life beyond work Competitive compensation Flexible working hours and hybrid or remote 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 Extra paid vacation and sick leave days Support for life’s important moments and celebrations Language courses to help you connect and grow Modern welcoming offices with snacks drinks and entertainment Team sports and social activities
may vary depending on your location. 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.
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