Principal Kubernetes Control Plane Engineer
Bitdeer Technologies Group is a technology company providing Bitcoin mining solutions, mining hardware, data-center infrastructure, and AI cloud services. It serves individual, institutional, and enterprise customers globally.
Funding history
Investors
Projects
About Bitdeer Technologies Group
Bitdeer provides vertically integrated Bitcoin mining and high-performance computing services. Its operations include mining equipment procurement and manufacturing, datacenter design and construction, equipment management, daily mining operations, cloud mining, and mining-related services. The company also offers AI cloud infrastructure and high-performance computing powered by NVIDIA GPUs for AI and machine-learning workloads, serving customers across global markets.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect and build the Kubernetes control plane for a large AI cloud platform. You will automate the lifecycle of thousands of control planes, develop Operators and CRDs, optimize etcd, implement multi-tenant isolation, enable federation and zero-downtime upgrades, and guide architectural quality through reviews and mentoring.
Requirements
- Bachelor’s or Master’s degree in Computer Science Electrical Engineering or a related field
- 8+ years of software engineering experience
- Deep hands-on expertise in Go
- Experience extending the Kubernetes ecosystem including Operators API Server etcd or Cluster API
- Experience operating debugging and scaling distributed systems in production
- Understanding of multi-tenancy cluster federation and API governance
- Familiarity with Terraform CI/CD pipelines and managed cloud services
- Strong technical leadership and communication skills
- Experience in high-velocity engineering environments is preferred
Responsibilities
- Design scalable Kubernetes control plane architectures with Cluster API
- Develop Kubernetes Operators and Custom Resource Definitions
- Optimize etcd performance and distributed state management
- Implement secure API server multi-tenancy isolation
- Architect zero-downtime upgrades and multi-cluster federation
- Integrate control planes with GPU orchestration layers
- Lead design reviews and mentor engineers
- Identify and mitigate control plane failure modes