Senior Platform Infrastructure Engineer

Danaher Corporation

Confirmed live today High trust
Closes tomorrow Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$135,000–$150,000 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Sep 24, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $142k
$125k most similar roles pay here $230k

This role pays less than 75% of similar roles. Most pay $142,475–$219,443 — the shaded band above. At the midpoint, this role pays about $142k versus about $181k 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 34 open roles on FindRole.

Listed pay typically runs $150,000–$175,000 across 29 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Senior Platform Infrastructure Engineer

Senior Platform Infrastructure Engineer - USA Remote joins the Chief Information Officer office to build and scale next-generation data and AI infrastructure. This role involves designing, deploying, and maintaining core platform capabilities including cloud infrastructure, CI/CD pipelines, and DevOps practices to support enterprise-wide AI-driven research and product development. The engineer will automate scalable cloud environments using Infrastructure as Code tools like Terraform or Pulumi across AWS, GCP, and Azure platforms. Key responsibilities include developing self-service portals for data scientists, ensuring security and compliance by design, and managing observability and monitoring systems. Required skills include expertise in containerization with Docker and Kubernetes, proficiency in Python, Go, or Bash, and experience with GitHub Actions or Azure DevOps. The role addresses the technical challenge of creating a robust, high-performance environment for advanced research within the life sciences and biotechnology sectors.

What you'll do

  • Build and operate scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code tools like Terraform or Pulumi.
  • Design and maintain CI/CD pipelines to provide secure and consistent paths from code to production for internal teams.
  • Develop a self-service platform that allows data scientists and engineers to provision compute, data, and ML resources easily.
  • Embed security, data governance, and compliance into the infrastructure by design.
  • Establish the platform's operational backbone including observability, monitoring, alerting, and support tiers.
  • Evaluate and integrate new tools and services to enhance the data and AI infrastructure.
  • Set technical direction by driving cross-team architecture decisions and establishing engineering standards.
  • Mentor engineers while maintaining high standards for documentation and technical rigor.

What we're looking for

  • 5+ years of software, platform, or infrastructure engineering experience including hands-on data and/or AI/ML infrastructure work.
  • A CS/Engineering degree or equivalent practical experience.
  • Deep expertise with at least one major cloud platform (AWS, Azure, or GCP) and familiarity with multi-cloud environments.
  • Experience with Infrastructure as Code tools like Terraform or Pulumi and CI/CD tooling such as GitHub Actions or Azure DevOps.
  • Proficiency in at least one automation language including Python, Go, or Bash.
  • Expertise in containerization and orchestration using Docker and Kubernetes.
  • Solid security and networking fundamentals for provisioning secure cloud resources and managing production systems.
  • Experience in life sciences, diagnostics, or biotechnology (preferred); experience with regulatory standards like HIPAA or GxP (preferred).

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