Forward Deployed Engineer, Infrastructure and Deployment

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, and on-premise

Networking, identity, and access setup: private connectivity, SSO and SAML, IAM and role design, warehouse permissions, secrets management

The deployment architecture for each account, including choosing the right configuration and making sure what is scoped in the SOW is what actually gets built

Navigating customer IT environments to proactively uncover and resolve potential blockers