Triomics
Technical Support Engineer
New York Office
Sponsorship not specifiedDetected 34 days ago
SQLAWSAzureCloud PlatformsKubernetesGrafanaTemporalRESTData EngineeringAgentic AIIncident ResponseCustomer SupportEHR/EMRResearchCommunication
About the role
- We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time.
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
- Build support infrastructure: define triage workflows, write runbooks for common failure modes (document ingestion errors, refresh inconsistencies, model output issues), set up monitoring dashboards and alerting
- Train additional support engineers as the function scales
- 3+ years in technical support, solutions engineering, or production operations at a SaaS or data platform company
- Comfortable building processes from scratch
- Built support tooling (ticketing, monitoring, runbooks) at an early-stage company
- Triomics is building the agentic AI layer for oncology EHRs.
- Our investors include Lightspeed, General Catalyst, Nexus Venture Partners and Y-Combinator.
- Issues here range from data ingestion failures and document processing pipeline errors to AI extraction accuracy problems and clinical UI bugs.
Nice to have
- Experience with data pipelines - can distinguish data quality issues from application bugs
- Familiarity with Kubernetes and containerized deployments
- On-call and incident response experience
Benefits
- We have grown 10x in the last year and process millions of oncology medical documents monthly.
- Own day-to-day production health and customer issue resolution across our deployments.
- Healthcare technology experience is a plus but not required
Company info
- Monitor production systems across multiple customer deployments and cloud environments - catch pipeline failures, data quality drops, and extraction accuracy regressions before customers report them
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