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DevOps Engineer

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About the role

About Us

The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy. This means they can build more reliable products while saving engineering time.

Our Traction

Hundreds of companies have signed up to use Reducto since our launch, and we’re now processing tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises.

The Opportunity

As a member of our founding team, you'll play a key role in ensuring reliability, scalability, and performance of Reducto’s API and on prem deployments. You will:

Design, implement, and maintain core components of Reducto infrastructure with Terraform/Terragrunt/HELM (e.g. distributed/fair postgres queue, efficient autoscaling of workers) to support an ever growing amount of usage.
Improve on Reducto’s CI & staging systems to scale to quickly running thousands of documents for every PR. Improve deployments with CD platform like ArgoCD.
Build up observability and monitoring capabilities to track key metrics as we scale.
Work directly with customers during Reducto’s on-premise deployments. This includes work for the deployment set up and on the ground support for in person deployments.

You’ll be successful in this role if you…

Are an autonomous and resourceful engineer with 3-6 years of experience building and deploying high reliability systems via Kubernetes, Terraform, and Argo CD.
Have a high bar for quality and craftsmanship, and a willingness to fix issues whenever they happen.
Have fundamental programming ability in a backend language of choice (Python, Rust, Go, etc.).
Have excellent communication skills. You’re able to collaborate well with team members and work directly with our customers.

Bonus points

Prior experience as a founder or founding engineer for a rapidly scaling team.
Experience managing systems with high bursts of concurrent usage.

This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

Accurately extract text and tables even with nonstandard layouts
Automatically convert graphs to tabular data and summarize images in documents
Extract important fields from complex forms with simple, natural language instructions
Build powerful retrieval pipelines using Reducto’s document metadata
Intelligently chunk information using the document’s layout data

Average salary estimate

$105000 / YEARLY (est.)

min

max

$90000K

$120000K

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What You Should Know About DevOps Engineer, Reducto

If you're a talented DevOps Engineer looking to make a real impact, Reducto in San Francisco is the place for you! Joining our founding team, you'll play a key role in building an innovative platform that transforms complex documents into LLM-ready inputs with unmatched accuracy. At Reducto, we understand that much of enterprise data is buried in formats like PDFs and spreadsheets, making it a challenge for AI teams to leverage. That's where you come in! You'll design and maintain our infrastructure using cutting-edge tools like Terraform, Terragrunt, and Helm, ensuring our systems are reliable and scalable. You'll work on enhancing our CI and deployment pipelines, making it possible for us to process thousands of documents with ease. Plus, you’ll have the chance to interact directly with customers during on-premise deployments, providing vital support as they integrate our technology. We’re on the cutting edge of document processing, and we need someone with your 3-6 years of experience in high-reliability systems using Kubernetes and Argo CD. If you’re enthusiastic about tackling new challenges and enjoy a fast-paced early-stage startup environment, we can’t wait for you to join us at Reducto!

Frequently Asked Questions (FAQs) for DevOps Engineer Role at Reducto

What are the responsibilities of a DevOps Engineer at Reducto?

As a DevOps Engineer at Reducto, your primary responsibilities include designing and maintaining the core components of our infrastructure using tools like Terraform, Terragrunt, and Helm. You’ll focus on improving our CI and staging systems for efficient document processing, enhancing deployment processes with platforms like ArgoCD, and building observability and monitoring capabilities as we scale. Additionally, you'll collaborate with customers during the setup of our on-premise deployments, ensuring they receive the support needed for a smooth integration of our technology.