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Collate

AI-driven documentation automation for life sciences

DevOps Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Hands-on experience with cloud infrastructure such as AWS or GCP and modern DevOps practices.
  • Proficiency with infrastructure-as-code and continuous integration and continuous delivery (CI/CD) tooling.
  • Familiarity with monitoring, observability, and incident management.
  • Interest or experience in light security work, including certificates, secrets management, or compliance support.
  • A pragmatic approach to balancing iteration speed with long-term reliability.
  • Motivation to work in an early-stage startup where infrastructure decisions shape the company's foundation.

Responsibilities

  • Design and maintain cloud infrastructure to support the products as they grow from prototypes to production scale.
  • Develop CI/CD pipelines and automation that accelerate developer velocity and reduce operational friction.
  • Manage core system reliability, including monitoring, logging, and incident response.
  • Handle light security responsibilities, such as certificates and secrets management, and support compliance needs.
  • Collaborate with engineering teams to design infrastructure that balances speed, safety, and scale.
  • Continuously improve internal tooling and workflows to help the team work faster with confidence.
  • Use tools including AWS, Terraform, Kubernetes, Helm, Argo CD, Grafana, and GitHub Actions.

About the Company

Collate

AI-driven documentation automation for life sciences

Collate provides an AI-powered platform that automates and streamlines the creation of documentation for drug development, medical devices, and diagnostics, reducing time and resources spent on regulatory paperwork. The platform auto-generates, organizes, and governs documents while offering data discovery and observability to ensure high-quality, compliant data assets. It differentiates itself by delivering end-to-end documentation and data governance for life sciences in one platform that covers drugs, devices, and diagnostics, minimizing manual work. Its goal is to accelerate bringing life-saving innovations to patients by shortening development and regulatory timelines so researchers can focus on discovery.

Company size
11-50
Company stage
Series B
Total funding
$125M
Headquarters
San Francisco, CA
Founded
2025

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