Senior Data Engineer, Operational Excellence - EDA Infrastructure

Role overview Lead incident coordination and data-driven reliability work for infrastructure supporting AI cloud services. The role combines hands-on engineering of operational data pipelines with incident command, trend analysis, and follow-through on improvements across engineering teams. Findings should help leaders prioritize work that reduces customer impact and strengthens service operations.

Responsibilities - Coordinate responders during high-severity incidents, guiding mitigation and recovery across teams. - Build and maintain pipelines that bring incident, alert, and change data into a consistent source for reliability reporting. - Analyze recurring failure patterns, changes in time to detect, mitigate, and resolve, and services with the greatest customer impact. - Present prioritized reliability recommendations to engineering leaders and track corrective actions through completion. - Use incident evidence to improve runbooks and on-call readiness. - Facilitate blameless postmortems and operational health reviews, establishing clear owners and follow-up actions.

Requirements - Five or more years in data engineering, incident management, or a related engineering role. - Bachelor’s degree or equivalent experience. - Strong SQL and Python skills, including experience building pipelines for operational reporting. - Ability to analyze incident trends and communicate findings that inform reliability priorities. - Experience with incident management platforms and dashboarding tools. - Experience facilitating postmortems or operational reviews, with clear communication during high-pressure incidents. - Hands-on use of AI tools to support analysis, debugging, or documentation.

Nice to have - Applied statistics or machine learning for operational data, such as anomaly detection, forecasting, or grouping related incident text. - Formal incident commander experience, reliability platform contributions, or experience in globally distributed 24/7 services with customer-facing SLOs. - Experience running incident simulations, or familiarity with distributed systems, cloud infrastructure, or GPU-based services. - Use of language models or prompt design to automate incident summaries, trend detection, or knowledge retrieval.

Benefits and work setup Compensation is listed at $152,000–$241,500 for one level and $184,000–$287,500 for another, with equity and benefits. The posting states that applications will be accepted at least until November 15, 2026.