Senior Platform Infrastructure Engineer

Danaher Corporation

. Build, automate, and operate scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code such as Terraform or Pulumi .

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $135,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code tools like Terraform or Pulumi. Proficient in CI/CD pipeline design, security integration, and mentoring engineering teams to uphold technical standards and compliance.

Highest-signal resume keywords

Cloud Infrastructure EngineeringInfrastructure as CodeCI/CD Pipeline DevelopmentContainerization/OrchestrationSecurity and Networking Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWSGCPAzureTerraformPulumiGitHub ActionsAzure DevOpsDockerKubernetesPython

Soft Skills

MentoringCollaborationTechnical Direction

Tools & Technologies

CI/CD ToolsMonitoring ToolsObservability Tools

Certifications & Qualifications

CS/Engineering Degree

Industry Keywords

Data GovernanceCompliance FrameworksHIPAAGxPSOXLife SciencesDiagnosticsBiotechnology

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonTerraformGo

About the role

Key responsibilities & impact

Build, automate, and operate scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code such as Terraform or Pulumi
Design and maintain CI/CD pipelines providing secure and consistent paths from code to production
Develop and enhance a self-service platform for data scientists and engineers to provision compute, data, and ML resources
Embed security, data governance, quality, and compliance by design
Establish the platform’s operational backbone, including observability, monitoring, alerting, and support tiers
Evaluate and integrate new tools and services
Collaborate with leadership and cross-functional teams to translate requirements into capabilities
Mentor engineers and drive technical standards, documentation, and continuous learning
Report to the Senior Director, Data and AI Platform

Requirements

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
Working familiarity with multi-cloud environments and their data and AI services
Strong experience with Infrastructure as Code, such as Terraform or Pulumi
Experience with CI/CD tooling, such as GitHub Actions or Azure DevOps
Experience with containerization/orchestration: Docker and Kubernetes
Proficiency in at least one language: Python, Go, or Bash
Solid security and networking fundamentals for provisioning secure cloud resources
Experience operating production systems, including monitoring, observability, incident response, and reliability practices
Ability to set technical direction at platform scale, drive cross-team architecture and design decisions, establish standards, and mentor engineers
Ability to travel up to 10%
Preferred: experience in life sciences, diagnostics, or biotechnology
Preferred: experience with regulatory standards such as HIPAA or GxP, compliance frameworks such as SOX, and rigorous data governance requirements
Preferred: experience working in a matrixed environment

Benefits

Comp & perks

Bonus/incentive pay
Paid time off
Medical insurance
Dental insurance
Vision insurance
401(k)
Flexible, remote working arrangement
Reasonable accommodations for applicants and employees with disabilities