DevOps / Systems Engineer

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 DevOps / Systems Engineer to own the infrastructure that powers Collate's products. You'll build the systems and tooling that keep our platform reliable, secure, and fast as we scale.

This role is broad by design - from managing CI/CD pipelines and cloud infrastructure to handling light security responsibilities like certificate management. You'll partner closely with backend, AI, and product engineers to ensure our systems are both easy to develop on and safe to deploy at scale.

At Collate, infrastructure isn't just about uptime - it's about trust. The work you do will help ensure that the AI we build for healthcare runs with reliability and security in mind.

Modern Tech Stack

Collate uses a modern tech stack, targeting a highly reliable and available platform. We use Go for scalable backend services, Postgres as our main database, 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. Other key systems include S3, Kafka, OpenSearch, LLMs, and other AI models.

What You'll Do

• Design and maintain cloud infrastructure to support Collate's products as we grow from prototypes to production scale.
• Develop CI/CD pipelines and automation that accelerate developer velocity and reduce operational friction.
• Manage core system reliability, including monitoring, logging, and incident response.
• Take on light security responsibilities, such as handling certificates, secrets management, and supporting compliance needs.
• Collaborate closely with engineering teams to design infrastructure that balances speed, safety, and scale.
• Continuously improve internal tooling and workflows, helping the team move faster with confidence.
• Leverage tooling including AWS, Terraform, Kubernetes, Helm, ArgoCD, Grafana, and Github Actions.

What We're Looking For

• Hands-on experience with cloud infrastructure (AWS, GCP, or similar) and modern DevOps practices.
• Proficiency with infrastructure-as-code and CI/CD tooling.
• Familiarity with monitoring, observability, and incident management.
• Interest or experience in light security work, including certificates, secrets management, or compliance support.
• A pragmatic approach: able to balance iteration speed with building for long-term reliability.
• Motivation to work in an early-stage startup where your infrastructure decisions shape the foundation of the company.

Why Join Collate?

Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.

Ownership: Shape both our product experience and our engineering culture from the start.

Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders.

Upside: Join a company early enough to have meaningful equity and career-defining impact.

The base salary range for this role is $150,000-$300,000 USD annually, depending on experience and level (Tier 1, San Francisco)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.