Field Infrastructure Engineer, Unstructured.io

Salary not provided

+ Equity

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Ansible

Azure

Prometheus

Grafana

Datadog

Pulumi

Senior and Expert level

San Francisco Bay Area

Remote from US

More information about location

Data prepping for Large Language Models

Be an early applicant

Data prepping for Large Language Models

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Be an early applicant

Salary not provided

+ Equity

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Ansible

Azure

Prometheus

Grafana

Datadog

Pulumi

Senior and Expert level

San Francisco Bay Area

Remote from US

More information about location

21-100 employees

B2BArtificial IntelligenceEnterpriseBig dataMachine LearningSaaSAPI

Company mission

To give organizations access to all of their data.

Job

Company

Role

Who you are

8+ years of experience in an SRE, DevOps, or Infrastructure Engineering role, ideally with experience on customer-facing or field-deployment work
Deep expertise in cloud platforms (AWS, GCP, or Azure)
Hands-on experience with Kubernetes, Docker, and container orchestration
Strong skills in Linux systems, networking, and scripting (e.g., Bash, Python, Go)
Proficiency with Infrastructure-as-Code (Terraform, CloudFormation, Ansible, etc.)
Familiarity with monitoring, logging, and observability practices and tools
Experience supporting production systems and operating in high-scale environments
Good communication skills

Desirable

Experience with machine learning infrastructure or data pipeline systems
Exposure to serverless or event-driven architectures
Contributions to open source projects or DevOps communities
Familiarity with security best practices for cloud-native environments

What the job involves

We’re looking for a Field Infrastructure Engineer to provide deployment expertise, scaling, and support of our platform across a range of customer enterprise environments
Working closely with our users, this role is essential to delivering resilient, high performance implementations in the field, and will collaborate closely with customer Engineering and Infrastructure teams
As a Field Infrastructure Engineer, you’ll work across a modern stack (Python, Kubernetes, Helm, CI/CD with GitHub Actions, etc.), provide critical product feedback, influence infrastructure decisions, and help shape reliability across our growing customer base
Support customer implementations by deploying, configuring, and troubleshooting infrastructure directly in customer environments
Act as a technical expert and point of contact during customer engagements, collaborating with Customer Success and our Core Engineering teams
Design and implement highly available, scalable, and observable systems across customer environments
Use tools like Terraform, Pulumi etc to build reusable CI/CD pipelines
Maintain and optimize Kubernetes clusters, container orchestration, and service mesh configurations
Guide customers on configuring monitoring and alerting frameworks for performance, reliability, and uptime (e.g. , Elastic, Prometheus, Grafana, Datadog)
Improve developer velocity through tooling, automation, and infrastructure improvements
Support incident response, root cause analysis, and blameless postmortems
Partner with engineering teams on production readiness, capacity planning, and rollout strategies

Our take

Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.

Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.

In enabling the seamless integration of LLMs with enterprise data, Unstructured's platform has the potential to unlock substantial productivity gains. As of March 2024, its open-source library has been download more than 6M times and by 2025, the total user base has grown significantly, with over 65,000 organizations now leveraging Unstructured tools. The company continues to develop its solution to the data-preparation bottleneck, a crucial component in meeting the evolving demands of enterprise-scale LLM deployments.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2024

$40m

SERIES B

Jul 2023

$20m

SERIES A

Total funding: $65m

Company HQ

SoMa, San Francisco, CA

Leadership

Brian S. Raymond

(Founder & CEO)

Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.

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