Staff Platform Monitoring Engineer

Databricks

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Amsterdam, Netherlands First seen 3 weeks, 1 day ago Last seen 8 hours, 25 minutes ago Greenhouse

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Job Description

AI Summary

• Lead platform incident investigation and response for Databricks' infrastructure, coordinating cross-functional teams to detect, mitigate, and resolve issues while minimizing customer impact • Design and implement observability solutions including alerting pipelines, monitoring patterns, and automation tools to enhance detection and reduce system downtime • Requires minimum 5 years as SRE/DevOps/Production Engineer with hands-on expertise in cloud platforms (AWS/Azure/GCP), Kubernetes, and monitoring tools (Prometheus, Grafana, ELK, PagerDuty) • Must have strong Python proficiency for building production-quality automation and experience conducting root cause analysis across infrastructure and cloud providers • Hybrid role based in Amsterdam requiring office presence at least 3 days per week; requires BS/MS/PhD in Computer Science or related Engineering field

P-1521

Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.

Platform Monitoring Engineer

Mission

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 exceptional Senior Platform Monitoring Engineer to join our Platform Monitoring Team. 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 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.

What We Are Looking For:

Minimum of 5 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.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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

go kubernetes aws docker python

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Job Information

Company:
Databricks
Location:
Amsterdam, Netherlands
Job Type:
Full-Time
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

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66 /100

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