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Triomics

EHR data parsing with oncology LLMs

DevOps / Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeIndiaNo salary listed

About the Job

Requirements

  • At least 1 year of experience in DevOps, Site Reliability Engineering, or a related role.
  • Hands-on experience with at least one cloud platform: Amazon Web Services, Azure, or Google Cloud Platform.
  • Strong experience with Kubernetes, Docker, Jenkins, Terraform, and Helm.
  • Proficiency in Python and Bash scripting.
  • A solid understanding of Linux system administration, networking concepts, and security practices.
  • Experience with monitoring, logging, and incident-response systems.
  • Strong communication skills and the ability to document technical processes effectively.

Responsibilities

  • Design, implement, and manage cloud-based infrastructure and deployment pipelines.
  • Build and maintain continuous integration and continuous delivery pipelines to enable reliable and efficient software delivery.
  • Manage and optimize containerized environments using Kubernetes and Docker.
  • Automate infrastructure provisioning and configuration using Terraform and Helm.
  • Develop and maintain automation scripts using Python and Bash.
  • Monitor system health, performance, and reliability using logging and monitoring tools.
  • Troubleshoot production issues and participate in incident response and root cause analysis.
  • Ensure infrastructure security, network configuration, and system-hardening best practices.
  • Collaborate with development teams to improve reliability, scalability, and deployment processes.
  • Maintain clear documentation for infrastructure, processes, and operational procedures.

Desired Qualifications

  • Software development experience.
  • Experience deploying and scaling artificial intelligence and machine learning workloads in production environments.
  • Familiarity with single-tenant deployment models.
  • Experience with MLOps/AIOps platforms such as SageMaker or Kubeflow.
  • Knowledge of chaos engineering and disaster-recovery strategies.
  • Experience with cloud-cost optimization strategies.
  • Relevant cloud certifications in AWS, Azure, or GCP.

About the Company

Triomics

EHR data parsing with oncology LLMs

Triomics applies generative AI to oncology by turning unstructured health records into structured, actionable insights. Its OncoLLM framework analyzes complex EHR content—doctor notes, PDFs, labs—to extract relevant signals, with Prism matching patients to clinical trials and Harmony curating data for quality reporting and cohort analysis. The platform plugs into existing EHR systems to speed up patient matching, trial enrollment, and precision oncology workflows. Its goal is to reduce manual data review in cancer care and research and to accelerate data-driven decisions across cancer centers and academic medical centers.

Company size
51-200
Company stage
Series B
Total funding
$54.2M
Headquarters
New York City, New York
Founded
2020

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