Sr. GPU Cloud K8S Expert (SRE SME)

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

About Bitdeer:

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

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing industry-leading ASIC chips and manufacturing mining rigs, the Group handles complex processes involved in computing across the value chain. This includes equipment procurement, transport logistics, datacenter design and construction, equipment management, and network and facility operations. Bitdeer also offers advanced cloud capabilities to customers with a high demand for artificial intelligence.

Headquartered in Singapore, Bitdeer operates globally with a diversified 3 GW energy portfolio, and deploys Bitcoin mining and HPC datacenters in the United States, Bhutan, Norway, Canada, Malaysia, and Ethiopia.

What you will be responsible for:

• 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.

Feed the AIOps substrate

• 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.

What success looks like in year 1

• 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.

How you will stand out:

• 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.

What you will experience working with us:

• 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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Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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