Senior AI Platform Engineer

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

• Operate and harden Kubernetes-based MaaS production environments across CPU platform nodes, edge ingress, and regional GPU tiers.
• Define and own SLOs, alerting, dashboards, runbooks, and incident response for API availability, latency, error rate, capacity, and GPU health.
• Improve rollout safety for model/runtime/platform changes using canaries, fallback, health-aware routing, maintenance mode, and fast rollback.
• Drive capacity planning for GPU utilization, burst traffic, quota/rate limits, cross-region latency, and customer growth.
• Automate repetitive operations through Helm, Argo CD, operators, scripts, and self-healing workflows.
• Partner with runtime and performance engineers to debug incidents from public API edge to model worker.

• 6+ years in SRE, platform engineering, or infrastructure engineering for production cloud services.
• Deep Kubernetes experience, including Helm, Argo CD/GitOps, CNI/ingress, secrets, storage, and workload scheduling.
• Hands-on experience operating GPU, AI infrastructure, or HPC workloads is strongly preferred.
• Strong observability skills with Prometheus/VictoriaMetrics, OpenTelemetry, logs, traces, and incident diagnosis.
• Comfortable with Go, Python, Bash, Linux networking, and production automation.
• Proven ability to design reliable systems with clear SLOs, operational ownership, and post-incident follow-through.

• 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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