Teams at Freenome

Lead the design, development, and operation of scalable backend and platform software for a Real World Evidence engine. Build secure data integrations and pipelines, improve data curation and quality, and support analytical workflows involving sensitive health data. Partner with product, clinical, research, and data teams to translate requirements into technical strategy. Lead architecture and code reviews, evaluate technologies, mentor engineers, and contribute to hiring and engineering best practices.

Leads technical vision and roadmap for Freenome’s cloud platform, designs and operates scalable Kubernetes-based systems, and drives cross-team initiatives. The role troubleshoots complex platform issues, improves reliability and cloud-cost efficiency, supports AI adoption, and builds secure infrastructure for AI and data workflows. It also mentors engineers, partners with scientific and technical teams, and remains hands-on with architecture, coding, design reviews, and operations.

Build and operate site reliability engineering practices for regulated, cloud-based production environments. Responsibilities include observability, SLIs/SLOs, incident response, infrastructure automation, Kubernetes and cloud operations, disaster recovery exercises, compliant deployments, root-cause analysis, and reliability improvements. The role partners with engineering, product, laboratory, compliance, and quality teams while mentoring peers and helping establish the organization’s SRE culture.