Preql delivers the data quality and semantic foundation that makes Al agents accurate and trustworthy. Get reliable answers from day one, not after months of prep. Backed by Felicis.
About the role
We ship self-hosted software into regulated enterprises. That means every deployment involves someone else's Kubernetes cluster, someone else's identity provider, someone else's network policy, and a security team that has to sign off before any of it runs. You will own how Preql gets installed, secured, upgraded, and kept healthy in customer environments.
What they're looking for
- 5+ years in infrastructure, platform, or DevOps engineering, shipping into production environments you did not control
- Docker and Kubernetes in production
- Depth in at least one of AWS, Azure, or GCP, and a working understanding of the constraints in the others
- Networking and identity in enterprise settings: VPCs and private connectivity, SSO and SAML, IAM and role design, secrets management
- CI/CD, observability, and incident response
- High SQL and data infrastructure literacy
More about this role
Preql helps enterprises clean, unify, and govern messy internal data so it actually works for AI, analytics, and reporting. We work with large organizations navigating complex data environments and high-stakes operational workflows. Based in New York, our team comes from data infrastructure, AI, and enterprise software.
We’re a small team with little bureaucracy. Leadership expects individuals to take ownership, move quickly, and make good decisions for the company with support from their teammates. The curious do well here, are comfortable operating in ambiguity, and are willing to form opinions and act on their convictions instead of waiting for instructions.
We ship self-hosted software into regulated enterprises. That means every deployment involves someone else's Kubernetes cluster, someone else's identity provider, someone else's network policy, and a security team that has to sign off before any of it runs.
You will own how Preql gets installed, secured, upgraded, and kept healthy in customer environments.
Installation and configuration of Preql in customer environments: our Docker images and Helm charts, deployment into customer managed Kubernetes across AWS, Azure, GCP,...
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