Full-Stack Software Engineer (Backend-Leaning)

Confirmed live in the last 24 hours

Collate

San Francisco

On-site

Posted January 7, 2025

Job Description

About Collate

Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market.

Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.

We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale.

About the Role

We’re looking for a Full-Stack Engineer (Backend-leaning) to design and build the systems and user-facing features that power Collate. You’ll spend most of your time on backend challenges—APIs, services, and infrastructure—but you’ll also ship end-to-end features.

This is an opportunity to help define our technical foundation, collaborate directly with design and product, and shape how our users experience Collate from day one.

Modern Tech Stack

Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, TypeScript & React for frontend development, and Python for AI & ML services. Our infrastructure is hosted on AWS with Kubernetes for orchestration and Terraform + Argo CD for configuration management. Key systems include S3, PostgreSQL, Kafka, OpenSearch, LLMs, and other AI models.

reactpythontypescriptgoawskubernetesaifrontendbackendproduct