Skip to content
← Databricks Mosaic

Incident Manager

Databricks Mosaic · United States · Remote - Texas

CHECKED 15H AGO

Infrastructureremotesenior$145k–$199k
Apply on the lab’s site ↗

At a glance

Highlights

  • Lead Databricks’ most critical production incidents to restore operations fast.
  • Own customer and executive communications during high-impact events.
  • Drive root-cause analysis to prevent failures and improve resilience.

What they offer

  • Performance bonus
  • Equity
  • Comprehensive benefits

Ideal candidate

A calm, decisive operator with 5+ years in SRE or production ops who thrives under pressure, communicates clearly with executives and customers, and cares deeply about resilience and continuous improvement.

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
  • Deep expertise in log analysis and debugging with log aggregation tools like Datadog, Elasticsearch, Splunk, Cloud Logging, or OpenTelemetry
  • Hands-on experience with observability systems for metrics, logging, and tracing such as Prometheus, Grafana, OpenTelemetry
  • Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automating diagnostics and analysis
  • Experience developing and maintaining incident playbooks and communication templates
  • Excellent writing skills with ability to summarize and communicate to technical and business audiences
  • BS, Master's or other advanced degree in Computer Science, Computer Engineering, or related Engineering field
remote policy
Remote within US

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗