Staff DevOps Automation Engineer

🕒 September 15

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $180k - $220k / year

⏰ Full Time

🔴 Lead

🤖 QA Automation Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 4%

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Danaher Corporation

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Danaher Corporation is a leading global life sciences and diagnostics innovator that develops and supplies instruments, technologies, software, and services to accelerate scientific research, biotechnology development, and clinical diagnostics. The company operates through businesses focused on biotechnology tools, diagnostics platforms, and life sciences products, leveraging the Danaher Business System and an acquisition-driven strategy to scale technologies and support customers across academia, pharmaceutical and biotech companies, and clinical laboratories.

📋 Description

• 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

• 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

• 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

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