Staff DevOps Automation Engineer

Danaher Corporation

. Design, build, automate, and operate secure, scalable Azure cloud infrastructure using Infrastructure as Code .

Posted 9/15/2026full-timeRemote • District of Columbia • United StatesLead💰 $180,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating secure, scalable Azure cloud infrastructure using Infrastructure as Code, while ensuring compliance and governance. Proficient in CI/CD practices, containerization, and mentoring engineering teams to enhance platform capabilities and user experience.

Highest-signal resume keywords

Azure Cloud InfrastructureInfrastructure as CodeCI/CD ToolingContainerization/OrchestrationData and AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure as CodeCI/CDContainerizationOrchestrationPythonGoBashMonitoringObservabilityIncident Response

Soft Skills

MentoringCollaborationTechnical Direction

Tools & Technologies

TerraformPulumiGitHub ActionsGitLab CIDockerKubernetes

Certifications & Qualifications

CS/Engineering Degree

Industry Keywords

Cloud InfrastructureData QualitySecurityComplianceOperational Processes

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesPythonTerraformGo

About the role

Key responsibilities & impact

Design, build, automate, and operate secure, scalable Azure cloud infrastructure using Infrastructure as Code
Embed governance, compliance, security, data quality, and auditability by design
Develop and maintain the platform engineering ecosystem, including CI/CD pipelines, self-service capabilities, and resource provisioning frameworks
Enable data scientists and engineers to access compute, data, and ML resources safely without deep infrastructure expertise
Establish and manage platform operations, including observability, monitoring, alerting, reliability practices, support models, and operational processes
Evaluate, integrate, and optimize emerging technologies and services
Provide practical recommendations and implement modern tooling to enhance platform capabilities, scalability, and user experience
Collaborate with platform leadership, engineering teams, and internal customers to translate requirements into well-engineered solutions
Mentor junior engineers, contribute to technical standards and documentation, and foster technical excellence, continuous learning, and collaboration
Report to the Senior Director, Data and AI Platform in the Chief Information Officer (CIO) Office

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 or Azure)
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 GitLab CI
Experience with containerization/orchestration, including Docker and Kubernetes
Proficiency in at least one language: Python, Go, or Bash
Solid security and networking fundamentals for provisioning secure cloud resources
Track record 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%
Eligible to work remotely from the United States

Benefits

Comp & perks

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