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Responsibilities:
- Design and implement AI inference and 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.
- Build APIs, CLIs, and developer tools that simplify deployment, lifecycle management, and monitoring of AI applications.
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 with cloud-native technologies like Docker and Helm, plus knowledge of security best practices (RBAC).
Benefits:
- Competitive compensation and flexible working hours with hybrid or remote options.
- Extra paid vacation and sick leave days, plus language courses.
- Modern offices with snacks and entertainment, team sports, and social activities.
Gcore
Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering digital experiences worldwide. With 550+ professionals and 210+ edge locations, the company collaborates with partners like Intel, NVIDIA, and Equinix to build the foundation for an AI-driven world.