Note: The job is a remote job and is open to candidates in USA. Danaher is a science and technology company operating across life sciences, diagnostics, and biotechnology. The Senior Platform Infrastructure Engineer will build and scale data and AI infrastructure, including cloud platforms, CI/CD pipelines, DevOps practices, and platform support. The role will also enable self-service capabilities, embed security and governance, evaluate tools, and provide technical direction and mentorship.
Responsibilities
- Build, automate, and operate scalable cloud infrastructure (AWS, Google Cloud Platform, 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
- Ability to travel - up to 10%
Skills
- 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 Google Cloud Platform), 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%
- 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
Benefits
- Bonus incentive pay eligibility.
- Paid time off, for eligible employees.
- Medical, dental, and vision insurance, for eligible employees.
- 401(k), for eligible employees.
- Remote work arrangement from home, for eligible roles.
Company Overview
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