Triomics

Platform Engineer

New York Office

Sponsorship not specified$30k-$60kDetected 34 days ago

Node.jsBackend DevelopmentFull-Stack DevelopmentCode ReviewAWSAzureCloud PlatformsDockerKubernetesCI/CDPlatform EngineeringMachine LearningEHR/EMR

About the role

Job Description: This role spans backend product engineering and infrastructure.
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.

Build and ship infrastructure services that power our product - document pipelines, application logic, and platform features
Own cloud infrastructure and deployment pipelines across both Triomics and customer environments (AWS, Azure)
Manage Kubernetes clusters, containerized services, CI/CD, and release processes including GPU node management for model serving
Strong backend engineering: can design, build, and ship production services
Own production stability and start shipping backend services.
Simultaneously, pick up a backend product feature - patient data processing, document pipeline improvement, or a platform feature the product team needs.
Document deployment runbooks, automate what's manual, and build CI/CD improvements that make releases safer and faster.
You should have a clear plan for what the infrastructure needs to look like to support 2-3x the current customer count without adding headcount proportionally.
can design, build, and ship production services

3+ years as a platform/infrastructure engineer at a startup or growth-stage company
The goal is to make sure you can context-switch between infra firefighting and product engineering.

Experience with data-heavy applications - document processing pipelines, batch and real-time data workflows
Worked with ML/AI systems in production - model serving, GPU infrastructure, pipeline orchestration
Built infrastructure at an early-stage company where you were one of few engineers owning the full stack

WHAT SUCCESS LOOKS LIKE IN THE FIRST 90 DAYS
Experience managing production deployments and debugging issues across application and infrastructure layers.
Can context-switch between writing product code and doing infra/ops work without treating either as out of scope of their job

Build monitoring, alerting, and observability across production deployments - we process millions of documents and need to catch pipeline failures, data quality regressions, and infrastructure issues before customers do
Set up observability that catches pipeline failures and data quality regressions before customers report them (today, customers often find issues first).

This listing is sourced directly from Triomics's careers page and normalized into a canonical job model.