Sr Platform Monitoring Engineer
Databricks3 months ago
Responsibilities
- Lead cross-functional investigation, mitigation, and resolution of platform incidents.
- Conduct root cause and post-incident analyses across infrastructure, services, and cloud providers.
- Design and implement customer-focused alerting pipelines and end-to-end observability workflows.
- Build automation tools and reusable monitoring patterns to address reliability gaps.
- Mentor junior engineers on observability, alert design, and service health metrics.
- Participate in an on-call rotation.
Requirements
- At least 6 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar.
- Production-level experience with at least one major cloud provider: AWS, Azure, or GCP.
- Proficiency with Docker and Kubernetes.
- Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, and PagerDuty.
- Ability to architect monitoring solutions correlating metrics, logs, and traces.
- Strong proficiency in Python or a similar language and ability to build production-quality automation tools.
- Experience owning incident lifecycle phases from detection through resolution and post-mortem analysis in demanding production environments.
- BS, master's, or PhD in Computer Science, Computer Engineering, or a related engineering field.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
Tech Stack
Categories
Site Reliability
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.