Lead GPU Cloud K8s Architect & AIOps Engineer

Bitdeer Technologies Group; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Bitdeer is seeking a seasoned Platform Engineer to run production Kubernetes clusters optimized for GPU workloads at scale. You will design and operate the AIOps-enabled control plane, manage Nvidia GPU tools, and enforce multi-tenant isolation with strong SLIs/SLOs and a robust runbook mindset.

The role requires deep expertise in GPU scheduling, CRD development, and integration of AI frameworks on Kubernetes, with hands-on provisioning of bare-metal resources and GitOps-driven workflows for

Qualifications

• 5+ years in Kubernetes operations with at least 2 years managing GPU workloads on K8S.
• Deep understanding of Nvidia GPU operator, device plugin, and GPU scheduling in K8S.
• Experience with topology-aware scheduling and GPU-specific resource management.
• Hands-on 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, incident management, capacity planning.
• Experience with Prometheus, Grafana, and alerting at scale.
• Strong programming skills in Go or Python for operator/CRD development.
• AIOps aptitude — automation-first mindset for K8S control plane.

Responsibilities

• Operate production Kubernetes clusters optimized for GPU workloads at scale (100–10,000 GPUs).
• Manage Nvidia GPU operator, device plugin, MIG configuration, and GPU time-slicing policies.
• Implement topology-aware scheduling: GPU locality, NVLink domain awareness, network rail affinity.
• Develop CRDs for GPU workload lifecycle management and integrate AI frameworks on K8S (Slurm, Ray, Kubeflow).
• Maintain multi-tenant isolation: namespaces, network policies, resource quotas, RBAC, pod security standards.
• Handle BMaaS provisioning and tenant onboarding lifecycle; automate provisioning/remediation workflows.
• Maintain Terraform providers and modules for infrastructure-as-code across GPU clusters.
• Define and monitor SLIs/SLOs for cluster availability and job completion latency.
• Oversee incident management: runbook automation, escalation, post-incident reviews.
• Monitor stack: Prometheus, Grafana, Alertmanager; optimize for reliability at scale.

Skills

Kubernetes operations

GPU workloads on K8S

NVIDIA GPU operator

Topology-aware scheduling

Multi-tenant K8S

Bare-metal provisioning

Terraform

GitOps (ArgoCD/Flux)

Prometheus & Grafana

Go or Python

Tools

Ironic

MAAS

ArgoCD

Flux

Job description

Bitdeer is seeking a seasoned Platform Engineer to run production Kubernetes clusters optimized for GPU workloads at scale. You will design and operate the AIOps-enabled control plane, manage Nvidia GPU tools, and enforce multi-tenant isolation with strong SLIs/SLOs and a robust runbook mindset.

The role requires deep expertise in GPU scheduling, CRD development, and integration of AI frameworks on Kubernetes, with hands-on provisioning of bare-metal resources and GitOps-driven workflows for