Senior AI Platform Engineer — Kubernetes & GPU Infra

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

Job summary

Bitdeer Group in Singapore is seeking a Senior Site Reliability Engineer to own and harden Kubernetes-based MaaS production environments across CPU nodes, edge ingress, and regional GPU tiers.

You will define SLOs, incident response, automate deployments with Helm and Argo CD, and collaborate with runtime and performance engineers to debug incidents from edge to model worker. This role offers growth in a fast-growing cloud platform for digital assets.

Qualifications

• 6+ years in SRE, platform engineering, or infra for production cloud services.
• Deep Kubernetes experience with Helm, Argo CD/GitOps, CNI/Ingress, secrets, storage, scheduling.
• Hands-on GPU/AI infrastructure or HPC workload experience preferred.
• Strong observability with Prometheus/OpenTelemetry, logs and traces.
• Go, Python, Bash, Linux networking, and production automation.
• Ability to design reliable systems with clear SLOs and incident follow-through.

Responsibilities

• Operate and harden Kubernetes-based MaaS environments across CPU nodes, edge ingress, and regional GPU tiers.
• Define and own SLOs, alerts, dashboards, runbooks, and incident response for API and GPU health.
• Improve rollout safety for changes using canaries, fallback, and quick rollback.
• Drive capacity planning for GPU utilization, burst traffic, quotas, and cross-region latency.
• Automate operations with Helm, Argo CD, operators, and self-healing workflows.
• Collaborate with runtime/perf engineers to debug incidents from edge to model worker.

Skills

Kubernetes

SRE/Platform

Prometheus/OpenTelemetry

Go/Python scripting

Argo CD

GPU/AI infra

Tools

Helm

Argo CD

GitOps

CI/CD

Job description

Bitdeer Group in Singapore is seeking a Senior Site Reliability Engineer to own and harden Kubernetes-based MaaS production environments across CPU nodes, edge ingress, and regional GPU tiers.

You will define SLOs, incident response, automate deployments with Helm and Argo CD, and collaborate with runtime and performance engineers to debug incidents from edge to model worker. This role offers growth in a fast-growing cloud platform for digital assets.