Site Reliability Engineer

Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM.

Our open-source toolkit has been downloaded 61M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale.

We're not just building tools, we're building the backbone of generative AI and the infrastructure that unlocks intelligence across industries.

About The Role

The infra team is small, technically deep, and owns the full stack from cloud provisioning and k8s operators to workflow orchestration and core services. We ship frequently and operate at a scale that makes reliability a first-class engineering problem.

As part of the Infra team, you'll work on the reliability and performance of our platform end-to-end. You'll work closely with infra and product engineers to instrument systems, establish SLOs, tune autoscaling, and drive incident process maturity. The work is technical and hands-on: you'll write code, dig into k8s internals, and hold yourself accountable to positive production outcomes.

What You'll Own and Drive

• Own production reliability across our Knative, KEDA, and Kubernetes-based document processing platform. Proactively detect degradation, diagnose root causes, and ship fixes

• Work on observability: end-to-end tracing, latency SLOs, capacity dashboards, and alerting that finds problems before customers do

• Load testing and capacity planning: establish throughput benchmarks, detect performance regressions before they reach production

• Support fleet operations: contribute to the safe, automated upgrade process for our growing fleet of production systems

What We’re Looking For

• 4+ years of SRE, platform engineering, or infrastructure engineering in a production Kubernetes environment

• Deep operational knowledge of Kubernetes. You've written HPA configs, KEDA ScaledObjects, PodDisruptionBudgets, preStop hooks, and PriorityClasses; you understand pod lifecycle and scheduler behavior.

• Demonstrated experience diagnosing and resolving real production performance issues: resource saturation, timeout failures, scheduling problems, graceful shutdown gaps

• Enough Python or Go to read service code, trace a bug to root cause, and write a targeted fix

Why You'll Love It Here

You'll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you're based.

We support you holistically, not just at work. From medical, dental, and vision coverage effective the 1st of the month following your start date, life and disability insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a $500 work from home stipend, $70/month internet reimbursement, and team/company offsites throughout the year - we want you focused on building, growing, and staying energized for the long haul.

If you're excited about what we're building, we'd love to meet you.