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Forward Deployed Infrastructure Engineer (Document AI)

ScrumAID

San Francisco, CA · Posted November 1, 2026

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About the job

A venture-backed document AI company sells to large enterprises that often want the software running inside their own cloud accounts or data centers. It needs an infrastructure engineer to get those installations working, from private cloud networks all the way to bare-metal servers, while talking directly to customers’ IT, security and platform staff.

Responsibilities

Lead each customer installation from planning and configuration to testing and rollout, across private-cloud and on-premises setups

Work with enterprise engineering teams in shared channels and on calls, and sometimes on site at their offices

Resolve environment-specific issues, for example incorrectly configured Kubernetes clusters, unusual permission setups in cloud identity systems and network faults

Create monitoring, telemetry and automation that convert bespoke installations into standard patterns reused for later customers

Learn the hardware that runs the company’s machine learning models so they can be deployed onto infrastructure the customer controls

Qualifications

Three or more years as an infrastructure, DevOps or site reliability engineer

Deep production experience with Kubernetes and Terraform

Strong grounding in AWS, GCP or Azure, networking and infrastructure as code

Ownership of core Kubernetes or cloud platform work at a high-bar startup or technology company

Clear, structured communication when diagnosing problems live with outside engineers

Past work shipping software into customer-controlled environments (BYOC, air-gapped, on-prem) is a strong plus

On-site in the San Francisco Bay Area. H-1B transfers and student-visa sponsorship may be available; new H-1B filings are not supported.