Senior Software Engineer – Genomics AI & Scalable Backend

23andMe, Inc.; Salt Lake City (UT); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

AI tooling collaboration (Claude Code)

Job summary

23andMe, Inc. is seeking a Senior Software Engineer to design, build, and operate backend services and data stores that turn raw genetic data into customer-facing results at scale.

You'll leverage AI tooling to automate testing, accelerate feature delivery, and ship with confidence through robust CI/CD pipelines, partnering with product, science, and engineering teams to translate requirements into reliable, scalable systems that deliver personalized health and ancestry insights to millions of

Qualifications

• BS in Computer Science or equivalent; 4+ years of industry experience.
• Deep, hands-on Python development experience.
• Infrastructure as code experience (Terraform on AWS), containerized with Docker.
• Hands-on experience with CI/CD deployment pipelines and testing frameworks.
• Experience operating distributed systems at scale, with debugging and observability.

Responsibilities

• Design, build, and operate the backend services and data stores that turn raw genetic data into customer-facing results at scale.
• Leverage AI tooling to automate testing, accelerate feature delivery, and ship with confidence through robust CI/CD pipelines.
• Partner with product, science, and engineering teams to translate requirements into reliable, scalable systems.
• Build AI-powered data pipelines that deliver personalized health and ancestry insights directly to customers.
• Debug production incidents and own what you ship.

Skills

Python

Terraform on AWS

Docker

CI/CD

Distributed systems

Observability

Education

BS in Computer Science or equivalent

Tools

AWS

Job description

23andMe, Inc. is seeking a Senior Software Engineer to design, build, and operate backend services and data stores that turn raw genetic data into customer-facing results at scale.

You'll leverage AI tooling to automate testing, accelerate feature delivery, and ship with confidence through robust CI/CD pipelines, partnering with product, science, and engineering teams to translate requirements into reliable, scalable systems that deliver personalized health and ancestry insights to millions of