Platform Engineer

Job Description: This role spans backend product engineering and infrastructure. You'll build backend services and application features, and also own the cloud infrastructure, deployments, and CI/CD that keeps them running in production. The platform processes millions of clinical documents monthly across multi-tenant deployments in customer as well as Triomics cloud environments, with GPU infrastructure serving AI extraction models. We need someone who can write application code in the morning and debug a Kubernetes deployment issue in the afternoon.

What Success Looks Like in the First 90 Days

Days 1-30: Map the entire infrastructure and find what's fragile. Get access to every deployment - AWS, Azure, customer-hosted environments. Understand the full topology: how Kubernetes clusters are configured, how GPU nodes serve models, how document pipelines move data from EHR ingestion to extraction to structured output. Your first job is to understand what is already built, where the sharp edges are, and what breaks when load spikes or a deployment goes sideways. By end of month one, you should have a written map of every production environment, know which deployments are most fragile, and have identified the top 3 infrastructure risks. Days 30-60: Own production stability and start shipping backend services. Take ownership of at least one customer deployment end-to-end - monitoring, alerting, incident response. Set up observability that catches pipeline failures and data quality regressions before customers report them (today,...