Infrastructure Engineer III

What you'll do

• Manage the administration, stability, and resilience of block, file, and object storage platforms across on-premises and cloud environments.
• Lead incident response for storage outages and performance degradations while driving root cause analyses and preventative actions.
• Build and maintain automation for provisioning, patching, upgrades, replication, backup, and compliance checks to reduce manual toil.
• Implement AI-driven observability and AIOps capabilities for telemetry correlation, anomaly detection, and automated incident workflows.
• Perform performance tuning, capacity planning, and lifecycle management for storage services running at global scale.
• Create and maintain runbooks, escalation paths, and standardized operational procedures to support on-call readiness.
• Validate AI-assisted infrastructure analysis and documentation outputs to ensure compliance with security and auditability requirements.
• Own and continuously improve service level objectives, indicators, and error budgets for storage services.

What we're looking for

• Formal training or certification on infrastructure engineering concepts and 3+ years of applied experience.
• Demonstrated experience using enterprise-authorized AI capabilities for infrastructure engineering workflows with strong validation habits.
• Strong knowledge of storage fundamentals including RAID, replication, snapshots, tiering, caching, SAN, NAS, and object storage.
• Hands-on experience with at least one major storage ecosystem such as NetApp, Dell EMC, Pure Storage, Hitachi, Ceph, IBM, or cloud-native services.
• Strong scripting or programming proficiency in one or more of Python, Go, or Bash.
• Solid Linux fundamentals including system performance, networking basics, and kernel and storage-stack concepts.
• Experience with observability stacks such as Prometheus, Grafana, Elastic, OpenSearch, Splunk, Datadog, or OpenTelemetry.
• Practical skills in AI and data operations including anomaly detection, forecasting, and integrating AI into production tooling.