Resolve technical issues and ensure platform reliability for oncology EHRs.
•Own day-to-day production health and customer issue resolution across our deployments.
•Issues here range from data ingestion failures and document processing pipeline errors to AI extraction accuracy problems and clinical UI bugs.
•You investigate, resolve what you can, escalate the rest with full context, and communicate clearly with clinical teams who depend on the platform daily.
•Key Responsibilities Investigate production issues end-to-end: trace across EHR data ingestion, document processing pipelines, AI extraction services, and application layer to classify root cause and resolve or escalate with full diagnostic context Monitor production systems across multiple customer deployments and cloud environments
•catch pipeline failures, data quality drops, and extraction accuracy regressions before customers report them Communicate with clinical users (research coordinators, tumor registrars, data managers)
•provide clear status updates and honest ETAs in non-technical language Requirements 3+ years in technical support, solutions engineering, or production operations at a SaaS or data platform company Can query SQL databases, read application logs through Grafana or Temporal, navigate AWS or Azure infrastructure, and trace issues through a multi-service backend Strong written communication for both technical teams and non-technical clinical users Comfortable building processes from scratch