Senior Software Engineer

Scorpion Therapeutics; Palo Alto (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

23andMe in the San Francisco Bay Area is seeking a Senior Software Engineer focused on backend systems, data pipelines, and scalable infrastructure for genetic data analysis. You will build and operate services transforming raw genetic data into customer-facing results.

Collaborate with product, science, and engineering teams to ensure reliability, performance, and CI/CD deployment. You will also help design AI-powered data pipelines for personalized insights and production stability.

Qualifications

• B.S. in Computer Science or equivalent.
• 4+ years industry experience.
• Expertise in Python, data pipelines, infrastructure as code (Terraform, AWS), containerization (Docker), CI/CD deployment, and distributed systems.

Responsibilities

• Design, develop, and operate backend services and data stores transforming raw genetic data into customer-facing results.
• Automate testing and deployment using CI/CD pipelines.
• Collaborate with product, science, and engineering teams to ensure reliable and scalable systems.
• Build AI-powered data pipelines for personalized insights.
• Troubleshoot and resolve production issues.

Skills

Python

Data pipelines

Infrastructure as code

Terraform

AWS

Docker

CI/CD

Distributed systems

Education

B.S. in Computer Science or equivalent

Tools

Terraform

Docker

AWS

Job description

Role:

Senior Software Engineer focusing on backend systems, data pipelines, and scalable infrastructure for genetic data analysis at 23andMe.

Responsibilities:

• design, develop, and operate backend services and data stores transforming raw genetic data into customer-facing results;


• automate testing and deployment using CI/CD pipelines;


• collaborate with product, science, and engineering teams to ensure reliable and scalable systems;


• build AI-powered data pipelines for personalized insights;


• troubleshoot and resolve production issues.

Requirements:

• B.S. in Computer Science or equivalent;


• 4+ years industry experience;


• expertise in Python, data pipelines, infrastructure as code (Terraform, AWS), containerization (Docker), CI/CD deployment, and distributed systems.

Preferred:

• experience with observability, performance tuning at scale.

High-Value:

• bioinformatics, genetics, large-scale data infrastructure, AI integration, cloud-based deployment, hybrid work model, San Francisco Bay Area location.

The role offers direct impact on one of the most scientifically rich datasets, working at the intersection of software engineering and genetic research, with a focus on scalable, reliable systems supporting millions of users.