Senior Cloud Platform Engineer for AI/ML Infra — Remote

Devopsroles; United States; Remote; USD 135,000 - 150,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) plan

Paid time off

Remote-friendly

Job summary

Danaher is seeking a Staff Platform Infrastructure Engineer to build and scale our data and AI infrastructure, enabling cloud, CI/CD, DevOps, and platform support across the enterprise. You will design, deploy, and maintain core capabilities while mentoring engineers and driving standards.

This remote role reports to the Senior Director, Data and AI Platform, located in Washington, DC, and offers a flexible work arrangement with strong benefits and opportunities to influence life sciences and

Qualifications

• 5+ years of software, platform, or infrastructure engineering experience with data/AI/ML infra.
• Deep hands-on with at least one major cloud platform (AWS/Azure/GCP).
• Experience with Terraform, Pulumi; CI/CD tooling; Docker and Kubernetes; automation languages.

Responsibilities

• Build, automate, and operate scalable cloud infrastructure with IaC across AWS/GCP/Azure.
• Design and maintain CI/CD pipelines for secure, fast production deployments.
• Develop a self-service platform for data scientists and engineers to provision compute, data, and ML resources.
• Embed security, governance, and reliability by design with observability and support tiers.
• Mentor engineers, set platform standards, and drive cross-team architecture.

Skills

Cloud platforms (AWS/Azure/GCP)

IaC (Terraform, Pulumi)

CI/CD tooling (GitHub Actions, Azure)

Docker & Kubernetes

Scripting (Python, Go, Bash)

Security & networking basics

Production systems reliability

Education

CS/Engineering degree or equivalent

Tools

Terraform

Pulumi

GitHub Actions

Azure DevOps

Docker

Kubernetes

Python

Go

Bash

Job description

Danaher is seeking a Staff Platform Infrastructure Engineer to build and scale our data and AI infrastructure, enabling cloud, CI/CD, DevOps, and platform support across the enterprise. You will design, deploy, and maintain core capabilities while mentoring engineers and driving standards.

This remote role reports to the Senior Director, Data and AI Platform, located in Washington, DC, and offers a flexible work arrangement with strong benefits and opportunities to influence life sciences and