Own day-to-day production health and customer issue resolution for a rapidly growing AI platform in oncology.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
AI in the day-to-day
We replace manual work with task-driven AI agents that process records at scale, in real time.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Technical Support Engineer at Triomics is responsible for managing the health of production systems and resolving customer issues related to their AI-driven oncology platform. Key skills include proficiency in SQL, familiarity with cloud infrastructures like AWS or Azure, and the ability to communicate effectively with both technical and clinical teams. This position is ideal for someone with at least three years of experience in technical support or production operations, particularly in a SaaS environment, and who is comfortable building processes from the ground up.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Triomics's career page.
- Triomics has 17 other open roles including Platform Engineer, Strategy & Operations (GTM), Ops.
- 2727 active AWS roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- 2273 active SQL roles on Joblaze right now.
- Typical AWS salary we track runs $135,700–$199,750 (median $170,000, across 1355 roles). See AWS salary trends
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Technical Support Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, Grafana, Kubernetes, SQL, Temporal.
- What seniority level is this role?
- Triomics targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Technical Support Engineer role at Triomics.
From the original posting
About Triomics
Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time.
Our platform is trusted by the 4 of the top 10 Best Hospitals for Cancer by U.S.News and several of the largest community practices. We have grown 10x in the last year and process millions of oncology medical documents monthly.
Our investors include Lightspeed, General Catalyst, Nexus Venture Partners and Y-Combinator.
Role
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.
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
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
Identify recurring issue patterns and translate them into product or engineering priorities
Train additional support engineers as the function scales
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
Preferred
Built support tooling (ticketing, monitoring, runbooks) at an early-stage company
Healthcare technology experience is a plus but not required
Experience with data pipelines - can distinguish data quality issues from application bugs
Familiarity with Kubernetes and containerized deployments
On-call and incident response experience
About Triomics
Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time.
Our platform is trusted by leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. We have grown 10x in the last year and process millions of oncology medical documents monthly.
Our investors include Battery Ventures, Lightspeed, General Catalyst, Nexus Venture Partners, and Y Combinator.