Platform Observability Lead

Databricks; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Databricks in the United States seeks an experienced Tech Lead to shape the future of platform observability and proactive monitoring. This high‑impact role leads complex investigations, designs observability solutions, and drives systemic improvements that enhance customer experience and platform stability.

You will develop monitoring, alerting, and end‑to‑end observability workflows, collaborate with cross‑functional teams to resolve incidents, and mentor engineers on reliability patterns.

Qualifications

• 6+ years of experience in SRE/DevOps or similar roles.
• Cloud provider experience (AWS/Azure/GCP) with containers.
• Hands-on monitoring, logging, and alerting tools (ELK, Prometheus, Grafana, PagerDuty).
• Proficient in Python for production automation.
• Owns incident lifecycle from detection to post‑mortem analysis.
• BS/MS/PhD in CS/CE or related engineering field.

Responsibilities

• Lead platform incident investigation across cross‑functional teams.
• Design observability solutions and alerting pipelines.
• Build automation to reduce mean time to detect and resolve incidents.
• Mentor junior engineers on observability patterns and service health metrics.
• Participate in on‑call rotation.

Skills

SRE/DevOps experience

Cloud experience (AWS/Azure/GCP)

Container orchestration (Docker/Kubern

Monitoring/Logging/Alerting

Observability design

Python automation

Incident lifecycle ownership

Education

BS/MS/PhD in CS/CE/Engineering

Tools

Docker

Kubernetes

ELK

Prometheus

Grafana

PagerDuty

Job description

Databricks in the United States seeks an experienced Tech Lead to shape the future of platform observability and proactive monitoring. This high‑impact role leads complex investigations, designs observability solutions, and drives systemic improvements that enhance customer experience and platform stability.

You will develop monitoring, alerting, and end‑to‑end observability workflows, collaborate with cross‑functional teams to resolve incidents, and mentor engineers on reliability patterns.