Senior Platform Infrastructure Engineer - USA Remote
Danaher Corporation
Summary
The Staff Platform Infrastructure Engineer will be instrumental in building and scaling our next-generation data and AI infrastructure — driving technical innovation across all of Danaher. In this highly impactful role, you will be responsible for designing, deploying, and maintaining the core platform capabilities, including cloud infrastructure, CI/CD pipelines, DevOps practices, and platform support. Your technical execution will directly enable a robust, high-performance environment that accelerates enterprise-wide AI-driven research and product development. 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.
Job description
In this role, you will have the opportunity to:
- Build, automate, and operate scalable cloud infrastructure (AWS, GCP, Azure) using Infrastructure as Code (e.g., Terraform, Pulumi) to deliver repeatable, governed, and auditable environments.
- Design and maintain CI/CD pipelines that provide fast, secure, and consistent paths from code to production for internal teams.
- Develop and enhance a self-service platform enabling data scientists and engineers to provision compute, data, and ML resources easily, reducing barriers to adopting emerging technologies.
- Embed security, data governance, quality, and compliance by design, while establishing the platform’s operational backbone (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, and mentor engineers while driving technical standards, documentation, and a culture of rigor and continuous learning.
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, Azure, or GCP), 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, Azure DevOps), 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
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, Azure, or GCP), 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, Azure DevOps), 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
- Ability to travel – up to 10%
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Paid time off
- 401(k)
- Bonus/incentive pay
Company overview
Danaher Corporation is a leading global science and technology innovator headquartered in Washington, D.C., specializing in biotechnology, life sciences, and diagnostics. Founded in 1984 by brothers Steven and Mitchell Rales, the company has evolved from its origins as a manufacturing conglomerate into a premier healthcare technology organization with approximately 63,000 employees worldwide. Danaher operates through three core divisions: biotechnology (28% of revenues), which develops products for therapeutic development; life sciences (31% of revenues), focused on disease identification, new therapies, and drug testing/manufacturing; and diagnostics (41% of revenues), providing instruments, consumables, and software for disease diagnosis. The company's portfolio includes renowned brands such as Beckman Coulter, Cytiva, Pall Corporation, Cepheid, Leica Microsystems, and Abcam, serving pharmaceutical companies, biotechnology firms, healthcare providers, and research institutions globally. Danaher is distinguished by its Danaher Business System (DBS), a continuous improvement methodology that drives innovation and operational excellence. With 2024 revenues of $23.9 billion, the company ranks 180th on the Fortune 500 and plays a critical role in advancing scientific research, improving diagnostic capabilities, and accelerating the development of life-saving therapies.