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Staff Platform Infrastructure Engineer - USA Remote

Danaher
Remote, USA
Full-time
Remote
$180,000 to $220,000.
Discovered 1 months ago
AWSAzureGoogle Cloud PlatformMulti-cloud infrastructureTerraformPulumi

Full Job Posting

Role overview

Build and scale next-generation data and AI infrastructure across Danaher.

Design, deploy, and maintain cloud infrastructure, CI/CD, DevOps practices, and platform support.

Enable a robust, high-performance environment for enterprise AI-driven research and product development.

Report to the Senior Director, Data and AI Platform in the Chief Scientific Officer Office.

Work arrangement

  • This is a fully remote position eligible for remote work from home.
  • The role is associated with the Washington, DC office.
  • Travel is required up to 10%.

Core responsibilities

  • Build, automate, and operate scalable AWS, GCP, and Azure infrastructure using Infrastructure as Code such as Terraform or Pulumi.
  • Design and maintain fast, secure, consistent CI/CD pipelines for internal teams.
  • Develop self-service capabilities for provisioning compute, data, and ML resources.
  • Embed security, data governance, quality, and compliance by design.
  • Establish observability, monitoring, alerting, and support tiers.
  • Evaluate tools and services, translate requirements into capabilities, and drive engineering standards and documentation.
  • Mentor engineers and promote rigor and continuous learning.

Essential requirements

  • 5+ years of software, platform, or infrastructure engineering experience, including data or AI/ML infrastructure work.
  • Computer Science or Engineering degree, or equivalent practical experience.
  • Deep expertise in at least one major cloud platform and familiarity with multi-cloud data and AI services.
  • Strong Infrastructure as Code, CI/CD, Docker, Kubernetes, and automation-language experience.
  • Security and networking fundamentals plus production monitoring, incident response, and reliability experience.
  • Ability to drive cross-team architecture, establish standards, and mentor engineers.

Preferred experience

  • Life sciences, diagnostics, or biotechnology experience.
  • Experience with regulated data and engineering practices, including HIPAA, GxP, SOX, or data governance.
  • Experience working in a matrixed environment.

Compensation

  • Annual salary range is $180,000 to $220,000.
  • The role is eligible for bonus or incentive pay.

Benefits

  • Benefits include paid time off, medical, dental, and vision insurance, and a 401(k) for eligible employees.

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