Senior Platform Infrastructure Engineer - USA Remote

Overview

Staff Platform Infrastructure Engineer role building and scaling next-generation data and AI infrastructure across Danaher, reporting to the Senior Director, Data and AI Platform within the CIO Office. The role is fully remote.

What you'll do

• Build, automate, and operate scalable cloud infrastructure (AWS, GCP, Azure) using Infrastructure as Code (e.g., Terraform, Pulumi) to deliver repeatable, governed, and auditable environments.
• Design and maintain CI/CD pipelines that provide fast, secure, and consistent paths from code to production for internal teams.
• Develop and enhance a self-service platform enabling data scientists and engineers to provision compute, data, and ML resources easily.
• Embed security, data governance, quality, and compliance by design, and establish the platform's operational backbone (observability, monitoring, alerting, and support tiers).
• Evaluate and integrate new tools and services, and collaborate with leadership and cross-functional teams to translate requirements into capabilities.
• Mentor engineers while driving technical standards, documentation, and a culture of rigor and continuous learning.

What you'll need

• 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), plus working familiarity with multi-cloud environments and their data and AI services.
• Strong experience with Infrastructure as Code (e.g., Terraform, Pulumi).
• Strong experience with CI/CD tooling (e.g., GitHub Actions, Azure DevOps).
• Strong experience with containerization/orchestration (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.
• A track record operating production systems: monitoring, observability, incident response, and reliability practices.
• Proven ability to set technical direction at platform scale: driving cross-team architecture and design decisions, establishing standards, and mentoring engineers in ambiguous, high-impact problem spaces.

Nice to have

• Experience in life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams).
• Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements.
• Experience working in a matrixed environment.

Details

• Location: USA, fully remote; eligible for a remote work arrangement working from home.
• Travel: up to 10%.
• Eligible for bonus/incentive pay.
• Annual salary range: $135,000 - $150,000.