DevOps Automation Engineer

About The Company At Danaher, our work saves lives. With a culture driven by continuous improvement, we transform innovative ideas into impactful solutions at the speed of life. Our organization comprises over 60,000 associates worldwide, operating across more than 15 diverse businesses within the fields of life sciences, diagnostics, and biotechnology. We are committed to fostering a culture of belonging where individual viewpoints are valued, and career growth is prioritized. Our dedication to innovation and excellence is exemplified through initiatives like the Danaher Business System, which empowers our teams to achieve operational excellence and deliver meaningful results. Joining Danaher means becoming part of a global leader dedicated to making a difference in people’s lives through science and technology.

About The Role The Staff DevOps Engineer will be a pivotal member of our Data and AI Platform team, reporting directly to the Senior Director of the same department. This role is based in Washington, DC, with the flexibility of full remote work. The primary responsibility is to own and enhance the delivery and operational backbone of our AI initiatives, including continuous integration/continuous deployment (CI/CD), infrastructure as code, environment management, and production operations. You will collaborate closely with teams integrating AI into critical areas such as molecular design, autonomous labs, supply chain, and professional services. Your expertise will define technical patterns, establish scalable infrastructure practices, and support workloads increasingly driven by large language models (LLMs) and autonomous agents. The role offers an exciting opportunity to shape the future of AI platform engineering within a leading science and technology company, impacting various sectors and driving innovation across the organization.

Qualifications

• 5+ years of experience in software, platform, or infrastructure engineering, with practical experience in data and AI/ML infrastructure
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Deep, hands-on expertise with at least one major cloud platform (Azure preferred, AWS considered) and familiarity with multi-cloud environments
• Proficiency in Infrastructure as Code tools such as Terraform or Pulumi
• Experience with CI/CD tooling, including GitHub Actions, GitLab CI, or similar platforms
• Strong skills in containerization and orchestration technologies like Docker and Kubernetes
• Proficiency in at least one programming language such as Python, Go, or Bash for automation and tooling
• Solid understanding of security and networking fundamentals for provisioning secure cloud resources
• Experience operating production systems, including monitoring, observability, incident response, and reliability practices
• Ability to set and drive technical direction at platform scale, with mentoring experience for junior engineers
• Willingness and ability to travel up to 10% as required

Responsibilities

• Design, build, automate, and operate secure, scalable cloud infrastructure on Azure, embedding governance, compliance, security, data quality, and auditability by design
• Develop and maintain the platform engineering ecosystem, including CI/CD pipelines, self-service portals, and resource provisioning frameworks to enable rapid and safe access to compute, data, and ML resources
• Establish and oversee platform operations, including observability, monitoring, alerting, and reliability practices to ensure system stability and performance
• Evaluate emerging technologies and services, providing practical recommendations and implementing modern tooling to enhance platform capabilities and scalability
• Collaborate with platform leadership, engineering teams, and internal stakeholders to translate requirements into well-engineered solutions
• Mentor junior engineers, contribute to technical standards, and foster a culture of continuous learning and technical excellence
• Support operational processes, incident management, and support models to maintain high platform availability and reliability

Benefits

• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company match
• Paid time off and holiday leave
• Flexible remote work arrangements and work-life balance initiatives
• Professional development opportunities and ongoing training
• Employee assista…