Collate
Full-Stack Software Engineer (Backend-Leaning)
San Francisco
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 10 Sept 2026
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the posting
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 an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage 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.
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