Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
The Staff DevOps Engineer owns the delivery and operational backbone of the platform behind our AI initiatives - CI/CD, infrastructure as code, environment management, observability, and production operations. You will work directly with the teams building AI into consequential work across the company: molecular design, autonomous labs, supply chain, professional services, and more. You will set the technical patterns others build on and help define what delivery infrastructure looks like as workloads become increasingly LLM-driven and agentic.
This position reports to the Senior Director, Data and AI Platform and is part of the Chief Information Officer (CIO) Office located in Washington, DC and will be fully remote.
In this role, you will have the opportunity to:
- Design, build, automate, and operate secure, scalable cloud infrastructure across Azure using Infrastructure as Code (Terraform, Pulumi, etc.), while embedding 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 that enable data scientists and engineers to rapidly and safely access compute, data, and ML resources without deep infrastructure expertise.
- Establish and manage platform operations, including observability, monitoring, alerting, reliability practices, support models, and operational processes that ensure platform stability, performance, and maintainability.
- Evaluate, integrate, and optimize emerging technologies and services, providing practical recommendations and implementing modern tooling that enhances platform capabilities, scalability, and user experience.
- Collaborate across platform leadership, engineering teams, and internal customers to translate requirements into well-engineered solutions, while mentoring junior engineers, contributing to technical standards and documentation, and fostering a culture of technical excellence, continuous learning, and collaboration.
The essential requirements of the job include:
- 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), plus working familiarity with multi-cloud environments and their data and AI services.
- Strong experience with Infrastructure as Code (e.g., Terraform / Pulumi), CI/CD tooling (e.g., GitHub Actions, GitLab CI, etc), and containerization/orchestration (Docker, Kubernetes), with proficiency in at least one language (Python, Go, Bash) for automation and tooling.
- Solid security and networking fundamentals for provisioning secure cloud resources, and a track record operating production systems: monitoring, observability, incident response, and reliability practices.
- Proven ability to set technical direction at platform scale: driving cross-team architecture and design decisions, establishing standards, and mentoring engineers in ambiguous, high-impact problem spaces.
Travel, Motor Vehicle Record & Physical/Environment Requirements: - Ability to travel - up to 10%
It would be a plus if you also possess previous experience in: - Life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams)
- Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements.
- Working in a matrixed environment
Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.
The annual salary range for this role is $180K-$220K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonincentive pay. #LI-Remote
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
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