Employer description & source details
Minimum of 6 years of experience as an SRE, DevOps Engineer, CRE, Production Engineer, or similar role. 2+ years of experience leading engineers, whether as a people manager or team lead, with clear mentorship and coaching responsibilities. 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. Excellent communication skills, with the ability to influence cross-functional partners. BS, Master's, or PhD in Computer Science or Computer Engineering, or a related Engineering field. Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Extracted skills: python, aws, azure, gcp, docker, kubernetes