The Staff Platform Infrastructure Engineer will join the Chief Scientific Officer Office to build and scale next-generation data and AI infrastructure. This role involves designing, deploying, and maintaining core platform capabilities, including cloud infrastructure, CI/CD pipelines, and DevOps practices. You will build automated, scalable environments using Infrastructure as Code tools like Terraform and Pulumi across AWS, GCP, and Azure. Key responsibilities include developing self-service platforms for data scientists to provision compute and ML resources, while embedding security, data governance, and observability. You must possess expertise in containerization with Docker and Kubernetes, and proficiency in Python, Go, or Bash. The work focuses on creating a high-performance environment to accelerate enterprise-wide AI-driven research and product development within the life sciences, diagnostics, and biotechnology sectors.