Databricks

Databricks

Sr Platform Monitoring Engineer

United States · Senior

Sponsorship not specified$145k-$199kDetected 5 days ago
PythonDatabricksAWSGCPAzureDockerKubernetesPrometheusGrafanaDevOpsSite Reliability EngineeringIncident ResponseUnityMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

Databricks, Inc. obtained a prevailing wage determination for Sales Engineers in San Francisco, CALIFORNIA on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 5 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 52%

Of 52 labor certifications old enough to have been used, 25 expired without the employer filing the next step. Median time from filing to decision: 482 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

163 transfer filings in the last year, covering 1450 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • Based on the factors above, Databricks anticipated utilizing the full width of the range.
  • For more information regarding which range your location is in visit our page here.

Responsibilities

  • Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
  • Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.

Requirements

  • Minimum of 6 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar role.
  • Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).
  • Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc.
  • Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.

Compensation

  • 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.
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
  • Zone 1 Pay Range
  • $144,600 - $198,900 USD

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.
  • Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
  • Provide mentorship to junior engineers on observability patterns, alert design, and service health metrics.

Company info

  • CSQ227R165 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.
  • Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.