Sr Platform Monitoring Engineer at Databricks

Job description

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. 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. We are seeking an experienced Tech Lead to shape the future of platform observability and proactive monitoring. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession.You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability. The successful candidate will be responsible for developing monitoring solutions, alerting mechanisms, and customer-focused incident detection tools. They will also work closely with cross-functional engineering teams to investigate and resolve incidents, perform root cause analyses, and propose solutions to improve the reliability and stability of the Databricks Platform. The impact you will have: Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact. Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences. Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection. Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience. Provide mentorship to junior engineers on observability patterns, alert design, and service health metrics. Participate in on-call rotation What we look for: 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. Ability to architect monitoring solutions that correlate metrics, logs, and traces. Strong proficiency in Python or similar languages with the ability to build production-quality automation tools. Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments. BS or Master's, or PhD 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.

Requirements

Must-haves

Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.
Provide mentorship to junior engineers on observability patterns, alert design, and service health metrics.
Participate in on-call rotation
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. Ability to architect monitoring solutions that correlate metrics, logs, and traces.
Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.
Our Commitment to Diversity and Inclusion

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiawsazuregcpdockerkubernetespython

Platform: greenhouse
Effort: quick