Team Lead - Platform Monitoring Engineer

The role

This Team Lead will drive monitoring solutions, alerting mechanisms, and customer-focused incident detection tools. You will lead platform incident investigations and manage a local team of Platform Monitoring Engineers.

What you will do

• Lead platform incident investigation and coordinate cross-functional teams.
• Conduct post-incident root cause analysis across infrastructure, services, and cloud providers.
• Guide the design and implementation of customer-focused alerting pipelines and observability workflows.
• Build automation tools and establish reusable monitoring patterns.
• Participate in and help structure the on-call rotation.
• Collaborate with internal customer stakeholders to design and execute reliability plans.
• Participate in growing the local team including hiring and onboarding.
• Act as the local point of leadership and a connection to the broader global team.

Required qualifications

• Minimum of 6 years of experience as an SRE, DevOps Engineer, CRE, Production Engineer, or similar role.
• 2+ years of experience leading engineers with mentorship and coaching responsibilities.
• Production-level experience with at least one major cloud provider (AWS, Azure, GCP).
• 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 to build production-quality automation tools.
• Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis.
• Excellent communication skills.
• BS, Master's, or PhD in Computer Science or Computer Engineering, or a related Engineering field.

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.