# Sr Platform Monitoring Engineer

**Company**: Databricks
**Location**: United States
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8407913002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e3b2abcc-285

## Description

At Databricks, we empower data teams to tackle challenging problems by building and operating the world's best data and AI infrastructure platform.

We are seeking an experienced Sr Platform Monitoring Engineer to shape the future of platform observability and proactive monitoring. As a critical first responder for the Databricks Platform, you will lead complex investigations, design observability solutions, and drive systemic improvements that enhance customer experience and platform stability.

Responsibilities:

- Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimise 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.

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.

- 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.

Benefits: Databricks offers comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click here.

## Skills

### Required
- Python
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- ELK
- Prometheus
- Grafana
- PagerDuty

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8407913002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)