Startups · AI

Senior Production Engineer - Realtime Products

Databricks · Mountain View, California · On-site

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About Databricks

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform. Backed by Battery, Insight and Kleiner Perkins.

About the role

As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field
  • Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing
  • Experience with PostgreSQL, or related managed databases or distributed systems
  • Experience in incident management and participating in on-call rotations for critical infrastructure
  • A mindset focused on automation, root-cause resolution, and continuous improvement
  • Strong programming skills in one or more languages such as Python, Go, Java, Scala, or similar
More about this role

CSQ127R154

As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production.

Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP.

  • Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience.
  • Build reliable, observable automation for debugging and incident mitigation.
  • Improve service reliability, scalability, security, and operational efficiency.
  • Develop dependable, safe, mitigations for production issues.
  • Participate in a follow-the-sun on-call rotation and lead incident response and mitigation.
  • Perform root-cause analysis, identify and implement lasting corrective actions.
  • Partner with Product Engineering, Security, Support, and other...

Read the full posting on Databricks's site ↗

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