Senior Platform Infrastructure Engineer

Danaher Corporation

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$135,000–$150,000 / yr
Employment
Full-time
Posted
21 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $142k
$78k $224k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $144,350–$199,175 — the blue band above. At the midpoint, this role pays about $142k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 71 open roles on FindRole.

Listed pay typically runs $132,500–$157,500 across 40 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Senior Platform Infrastructure Engineer

The Senior Platform Infrastructure Engineer joins the CIO Office to build and scale next-generation data and AI infrastructure. Reporting to the Senior Director, Data and AI Platform, this role involves designing, deploying, and maintaining core platform capabilities including cloud infrastructure, CI/CD pipelines, and DevOps practices. You will build and operate scalable cloud environments using AWS, GCP, and Azure with Infrastructure as Code tools like Terraform and Pulumi. Key responsibilities include developing self-service platforms for data scientists, managing containerization via Docker and Kubernetes, and utilizing Python, Go, or Bash for automation. You will ensure security, data governance, and observability while mentoring engineers. This role solves the technical challenge of creating a high-performance, governed environment to accelerate enterprise-wide AI-driven research and product development within the life sciences and biotechnology sectors.

What you'll do

  • Build and operate scalable cloud infrastructure using Infrastructure as Code tools like Terraform or Pulumi.
  • Design and maintain CI/CD pipelines to provide secure paths from code to production.
  • Develop a self-service platform for data scientists to provision compute, data, and ML resources.
  • Embed security, data governance, and compliance by design into the platform's operational backbone.
  • Establish observability, monitoring, alerting, and support tiers for production systems.
  • Evaluate and integrate new tools and services to meet cross-functional technical requirements.
  • Mentor engineers and drive technical standards, documentation, and a culture of continuous learning.

What we're looking for

  • 5+ years of software, platform, or infrastructure engineering experience, including hands-on data and/or AI/ML infrastructure work.
  • CS/Engineering degree or equivalent practical experience.
  • Deep, hands-on expertise with at least one major cloud platform (AWS, Azure, or GCP) and familiarity with multi-cloud environments.
  • Strong experience with Infrastructure as Code (Terraform, Pulumi), CI/CD tooling (GitHub Actions, Azure DevOps), and containerization (Docker, Kubernetes).
  • Proficiency in at least one language (Python, Go, Bash) for automation and tooling.
  • Solid security and networking fundamentals for provisioning secure cloud resources and operating production systems.
  • Proven ability to set technical direction at platform scale, including driving architecture decisions and mentoring engineers.
  • Ability to travel up to 10%.
  • Previous experience in life sciences, diagnostics, or biotechnology (preferred).
  • Experience with data and engineering practices in regulated industries like HIPAA, GxP, or SOX (preferred).

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