Senior Data Platform Reliability Engineer

Key ResponsibilitiesOperate & Scale Managed Services

• Run multi-tenant data and AI platforms (Spark, Airflow, Flink, Jupyter) with clearly defined SLAs, SLIs, and SLOs
• Own capacity planning, cost optimization, and usage guardrails across AWS/GCP and Kubernetes
• Ensure predictable, reliable operations across multiple customers and environments

Reliability & Incident Leadership

• Be the face of reliability, leading incidents end-to-end
• Own customer communications, status updates, and post-incident reviews (RCAs) with clear, visible action items
• Drive continuous improvement based on incident learnings

Customer Experience & Enablement

• Partner with data scientists and customer teams to reduce failed or slow jobs
• Improve time-to-data, pipeline reliability, and overall platform performance
• Optimize platform usage and costs so customers experience faster pipelines and fewer surp...