Staff Platform Infrastructure Engineer

Danaher Corporation

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$180,000–$220,000 / yr
Posted
58 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $200k
$112k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $165,000–$216,656 — the shaded band above. At the midpoint, this role pays about $200k versus about $191k 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 27 open roles on FindRole.

Listed pay typically runs $150,000–$175,000 across 23 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Staff Platform Infrastructure Engineer

The Staff Platform Infrastructure Engineer joins the Chief Scientific 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 establishing observability and monitoring frameworks. Required skills include expertise in containerization with Docker and Kubernetes, proficiency in Python, Go, or Bash, and experience with GitHub Actions, Azure DevOps, or GitLab CI. 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 by design into the core infrastructure and operational backbone.
  • Establish and manage system observability, monitoring, alerting, and support tiers for production environments.
  • Evaluate and integrate new tools and services to enhance the platform's capabilities and technical standards.
  • Mentor engineers and drive cross-team architecture decisions to establish high-quality technical standards and documentation.

What we're looking for

  • CS or Engineering degree or equivalent practical experience.
  • At least 5 years of software, platform, or infrastructure engineering experience including data and/or AI/ML infrastructure work.
  • Deep expertise in at least one major cloud platform (AWS, Azure, or GCP) with familiarity in multi-cloud environments.
  • Proficiency in Infrastructure as Code tools like Terraform or Pulumi.
  • Experience with CI/CD tooling such as GitHub Actions, Azure DevOps, or GitLab CI.
  • Expertise in containerization and orchestration using Docker and Kubernetes.
  • Proficiency in at least one programming language for automation, such as Python, Go, or Bash.
  • Strong knowledge of security, networking fundamentals, monitoring, observability, and incident response.

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