Incident Manager

Impact

• Lead critical incidents — coordinate multi-disciplinary response efforts across Databricks’ cloud-based services to rapidly mitigate impact and restore operations.
• Drive technical root cause analysis and reliability improvements: collaborate with engineering teams to trace and document underlying causes across distributed systems, services, and data stores. Summarize key learnings, clearly communicate action items, and ensure that technical and procedural improvements are followed through.
• Own communications during incidents — deliver frequent, high-quality updates to internal stakeholders (executives, engineering leadership, support) and compose and publish customer-facing notifications that are accurate, timely, and empathetic.
• Mentor and train peers in both incident communication and technical response disciplines to raise the overall quality of Databricks’ incident response.

Requirements

• 5+ years of experience in incident management, site reliability engineering, or production operations supporting large-scale, cloud-native systems.
• Proven ability to lead and coordinate high-severity incidents, including identifying impact, isolating fault domains, and managing multi-team response efforts.
• Strong understanding of cloud infrastructure (AWS, Azure, or GCP) — including compute, networking, storage, and observability components.
• Deep expertise in log analysis and debugging: familiarity with log aggregation and search tools (e.g., Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry).
• Hands-on experience with observability systems — metrics, logging, and tracing frameworks (Prometheus, Grafana, OpenTelemetry, etc.).
• Proficiency in at least one major programming or scripting language (Python, Go, or Bash) for automating diagnostics, data collection, or analysis.
• Experience developing and maintaining incident playbooks and communication templates to ensure consistent, timely updates.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
• BS, Master's or other advanced degree in Computer Science or Computer Engineering, or related Engineering field.