Note: The job is a remote job and is open to candidates in USA. Danaher Corporation is a leading science and technology company focused on life sciences, diagnostics, and biotechnology. The Staff Platform Infrastructure Engineer will be responsible for building and scaling the next-generation data and AI infrastructure, including designing, deploying, and maintaining core platform capabilities to enhance enterprise-wide AI-driven research and product development.
Responsibilities
- 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
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 GCP), plus working familiarity with multi-cloud environments and their data and AI services
- Strong experience with Infrastructure as Code (e.g., Terraform), CI/CD tooling (e.g., GitHub Actions, Azure DevOps, GitLab CI), 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
- 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
- Paid time off
- Medical/dental/vision insurance
- 401(k) to eligible employees
- Flexible, remote working arrangements for eligible roles
- Remote work arrangement in which you can work remotely from your home
Company Overview
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