Mandolin replaces fragmented workflows with AI agents that execute the end-to-end lifecycle, including intake, benefits, prior authorizations, and revenue cycle management. Increase throughput without increasing headcount. Backed by Greylock.
About the role
Own cloud infrastructure end-to-end: Design and operate scalable, highly available environments across development, staging, and production. Establish autoscaling policies, HA networking, cost-efficient resource management, and clear environment parity. We run on GCP today — what matters is how you think about infrastructure, not which cloud you learned on.
What they're looking for
- 7+ years building and operating production cloud infrastructure at scale
- Deep hands-on experience with Kubernetes — cluster management, workload design, networking, autoscaling, production troubleshooting
- GitOps & ArgoCD: Experience with ApplicationSets, sync waves, multi-cluster delivery, promotion workflows
- CI/CD experience: GitHub Actions, Cloud Build, or equivalent — pipelines, caching, artifact management, security gates
- IAC: Pulumi, Terraform, or equivalent — writing infrastructure as code, not just running it
- Secrets Management: centralized stores, ESO or equivalent, automated rotation, zero inline secrets
More about this role
Nearly every disease will become treatable in our lifetimes. Mandolin is laying the clinical and financial infrastructure to get groundbreaking treatments to patients faster, powered by AI agents.
Mandolin partners closely with the largest healthcare institutions in the US, covering more than $10B drug spend across the country. We're backed by Greylock, SV Angel, Maverick, SignalFire, and the founders of Vercel, Decagon, and Yahoo.
Mandolin’s usage is climbing quickly and we’re preparing for a broad public launch. The platform must deliver enterprise-grade reliability, airtight security, and effortless developer productivity while processing sensitive healthcare data. We’re looking for an Infrastructure Engineer who can build and operate a rock-solid cloud foundation—then codify the best-practice guardrails that every engineer will rely on as we scale.
Own cloud infrastructure end-to-end: Design and operate scalable, highly available environments across development, staging, and production. Establish autoscaling policies, HA networking, cost-efficient resource management, and clear environment parity. We run on GCP today — what matters is how you think about infrastructure, not...
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