Incident Manager

Reposted 2 Months Ago
Hiring Remotely in United States
Remote
145K-199K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.
Summary Generated by Built In
Incident Manager
US RemoteCSQ127R151

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As an Incident Manager, you will lead Databricks’ most critical production incidents while providing clear, accurate, and timely communication to customers, executives, and engineers. You’ll serve as both incident commander and reliability engineer; orchestrating multi-team responses, driving real-time status updates, and partnering with engineering to analyze and prevent failures. Your work will ensure Databricks maintains not only technical resilience but also customer and stakeholder confidence during high-impact events.

This role combines operational leadership, technical systems knowledge, and exceptional communication skills. You will be at the intersection of engineering depth and operational clarity, ensuring that every major incident is managed with precision, transparency, and continuous improvement.

The impact you will have here:
  • 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.
What are we looking for:
  • 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, are required.
  • BS, Master's or other advanced degree in Computer Science or Computer Engineering, or related Engineering field.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.


Zone 1 Pay Range
$144,600—$198,900 USD
Zone 2 Pay Range
$130,200—$178,950 USD
Zone 3 Pay Range
$123,000—$169,050 USD
Zone 4 Pay Range
$115,700—$159,050 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills Required

  • 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 impact identification, fault isolation, and multi-team response.
  • 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 (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.
  • Excellent contextual interpretation and writing skills 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.

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
  • Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
  • Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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