Senior GPU Kubernetes Architect for AI Cloud

Bitdeer Technologies Group; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bitdeer Technologies Group seeks an experienced SRE to run production Kubernetes clusters optimized for GPU workloads at scale. You will manage Nvidia GPU operators and multi-tenant isolation, building CRDs and integrating AI frameworks on K8S.

You will automate BMaaS provisioning, use Terraform/Helm for IaC, and uphold SLI/SLOs with strong incident management practices. This role demands deep GPU scheduling expertise and a hands-on, autonomous approach.

Qualifications

• 5+ years of Kubernetes operations experience.
• Deep understanding of Nvidia GPU operator, device plugin, and GPU scheduling in K8S.
• Experience building multi-tenant K8S platforms with strong isolation guarantees.
• Experience with bare-metal server provisioning and lifecycle automation (Ironic, MAAS, or custom).
• Proficiency in Terraform, Helm, and GitOps workflows (ArgoCD/Flux).
• Strong SRE background: SLI/SLO frameworks and incident management.

Responsibilities

• Operate Production Kubernetes clusters optimized for GPU workloads at scale (100–10,000 GPUs).
• Manage Nvidia GPU operator, device plugin, and MIG configurations.
• Implement topology-aware scheduling and GPU resource management.
• Develop CRDs for GPU workload lifecycle management.
• Integrate AI frameworks on Kubernetes (Slurm, Ray, Kubeflow).
• Ensure multi-tenant isolation with namespaces, policies, RBAC, and security standards.
• Enable BMaaS provisioning and tenant onboarding processes.
• Develop infrastructure-as-code via Terraform providers and modules.
• Define SLIs/SLOs for cluster availability and provisioning latency.
• Handle incident management with runbooks and post-incident reviews.

Skills

Kubernetes

GPU workloads

Go or Python

Terraform

GitOps (ArgoCD/Flux)

SRE fundamentals

Incident management

Monitoring (Prometheus/Grafana)

Tools

Terraform

Helm

ArgoCD

Flux

Ironic

MAAS

Job description

Bitdeer Technologies Group seeks an experienced SRE to run production Kubernetes clusters optimized for GPU workloads at scale. You will manage Nvidia GPU operators and multi-tenant isolation, building CRDs and integrating AI frameworks on K8S.

You will automate BMaaS provisioning, use Terraform/Helm for IaC, and uphold SLI/SLOs with strong incident management practices. This role demands deep GPU scheduling expertise and a hands-on, autonomous approach.