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Site Reliability Engineer

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New York, NY$150k - $200kFull-timePosted 4mo ago

About the role

Site Reliability Engineer role at Triomics, focusing on backend infrastructure and cloud operations to support multi-tenant production deployments, GPU-based model serving, and CI/CD pipelines for a healthcare AI platform.

Responsibilities

  • 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
  • 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
  • Debug and resolve production issues end-to-end - from application-layer bugs to infrastructure failures
  • Collaborate with offshore engineering team on architecture decisions, code reviews, and production stability

Qualifications

  • 3+ years as a platform/infrastructure engineer at a startup or growth-stage company
  • Strong backend engineering: can design, build, and ship production services
  • Comfortable across the infrastructure stack: cloud (AWS or Azure), Kubernetes, Docker, CI/CD, networking, monitoring
  • 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

Skills

Required:Amazon Web Services (AWS)Microsoft AzureJavaKubernetesDocker
Nice to have:Hibernate
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Triomics

Generative AI for Oncology EHRs

Triomics is helping cancer care providers by reducing the burden associated with manually reviewing patient charts. Utilizing our OncoLLM™—a family of oncology-focused language models—we are able to accelerate clinical trial enrollment, power quality improvement projects, and address many other key strategic priorities.

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