Sr. GPU Cloud K8S Expert (SRE SME)

Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud.

What you'll own

• Production Kubernetes clusters optimized for GPU workloads at scale (100–10,000 GPUs).


• Nvidia GPU operator, device plugin, MIG configuration, and GPU time-slicing policies.


• Topology-aware scheduling: GPU locality, NVLink domain awareness, network rail affinity.


• Custom Resource Definitions (CRDs) for GPU workload lifecycle management.


• AI framework integrations: Slurm on K8S, Ray on K8S, Kubeflow.


• Multi-tenant isolation: namespaces, network policies, resource quotas, RBAC, pod security standards.


• Bare-Metal as a Service (BMaaS): automated provisioning, tenant onboarding, lifecycle, reclamation.


• Terraform providers and modules for infrastructure-as-code across GPU clusters.


• SLIs/SLOs for cluster availability, job completion rates, and provisioning latency.


• Incident management: runbook automation, escalation, post-incident reviews.


• Monitoring stack: Prometheus, Grafana, Alertmanager, PagerDuty.


• GPU node failure handling: automated detection, drain/cordon/taint, workload rescheduling.

• The remediation-actuator and workflow engine land here — you make the control plane safe for automated action.


• Your CRDs are the schema the platform's predictors and remediators write against.


• Every human intervention you do this quarter becomes an autonomous workflow next quarter.

• Automated drain/reschedule around predicted GPU faults, at scale, without customer impact.


• BMaaS live for external tenants with self-service onboarding.


• Cluster availability and job-completion SLOs published and met.

• 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 — you think of the K8S control plane as an execution surface for automated remediation, not just a scheduler. You've either wired an autoscaler/remediator loop into K8S or you can design one.


• Runbook-as-code mindset — every SRE playbook you write should be executable by the platform.

• A culture that values authenticity and diversity of thoughts and backgrounds;


• An inclusive and respectable environment with open workspaces and exciting start-up spirit;


• Fast-growing company with the chance to network with industrial pioneers and enthusiasts;


• Ability to contribute directly and make an impact on the future of the digital asset industry;


• Involvement in new projects, developing processes/systems;


• Personal accountability, autonomy, fast growth, and learning opportunities;


• Attractive welfare benefits and developmental opportunities such as training and mentoring.

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