3 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Design, build, and operate backend services and data stores that turn raw genetic data into customer-facing results at scale.
- Develop Python libraries, services, and data pipelines.
- Build AI-powered data pipelines delivering personalized health and ancestry insights.
- Use infrastructure as code, containerization, deployment pipelines, and testing frameworks to deliver reliable systems.
- Partner with product, science, and engineering teams to translate requirements into scalable systems.
- Debug production incidents, improve observability and performance, and own deployed services.
Requirements
- B.S. in Computer Science or equivalent experience.
- 4+ years of industry experience.
- Deep hands-on Python experience, including libraries, services, and data pipelines.
- Infrastructure as code experience, ideally with Terraform on AWS and Docker.
- Hands-on experience with deployment pipelines and testing frameworks.
- Experience operating distributed systems at scale, including debugging, observability, and performance tuning.
Benefits
- Hybrid work model in the San Francisco Bay Area, California.
- Work on a small, high-trust team with ownership, autonomy, and direct impact.
- Collaborate with R&D, bioinformatics, and genomics experts without needing to be a scientist.
- Access to an AI-friendly engineering environment using tools such as Claude Code.
- Ship multiple times per week and work on systems serving millions of customers.
About 23andMe
23andMe builds direct-to-consumer genetic testing and ancestry/health reports for individuals, and operates a large opt-in research platform for genetics and drug discovery. Revenue comes from consumer test kits, subscriptions, and research partnerships that use de-identified data for therapeutics development. Founded in 2006 and publicly traded on NASDAQ, it also supports a nonprofit Research Institute focused on large-scale human genetics studies.