AI Systems Resiliency Engineers
Indexed description
DAMAC AI runs GPU cluster infrastructure at the edge of what's commercially deployed — B300 and GB300 Blackwell-based DGX SuperPOD and HGX systems. We need the engineer who keeps it running when things break, and makes sure it doesn't break the same way twice.
The Role
You will own reliability and resilience for mission-critical AI compute infrastructure — SLA management, disaster recovery, incident response, and chaos engineering. This is SRE work with deep GPU infrastructure specificity, not generic cloud ops.
What You Will Do
- Own SLA and uptime commitments for DGX SuperPOD and HGX GPU clusters
- Design and run disaster recovery and business continuity plans
- Lead incident management and root cause analysis for GPU infrastructure failures
- Design and execute chaos engineering and resilience testing
- Own capacity planning and performance management
- Build observability and automation for proactive failure detection
What You Bring
- Strong SRE background — GPU or HPC infrastructure exposure ideal
- Hands-on with GPU cluster failure modes — NVIDIA DGX/HGX or equivalent
- Proven SLA and uptime ownership at scale
- Direct disaster recovery and chaos engineering execution experience
- Observability tooling and automation skills — Prometheus, Grafana, Python, or equivalent
- Comfortable in a 24/7 mission-critical environment
Based in Dubai or Noida. Immediate requirement.
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