Unstructured
Technology
SiteReliabilityEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Site Reliability Engineer at Unstructured. Skills: Site Reliability Engineering, Kubernetes, Platform reliability. Own production reliability. Detect degradation”
What You'll Achieve.
Positive production outcomes
Industry & Context.
Root cause analysis; Diagnosing performance issues
What They're Looking For.
Must Have
4+ years of SRE, platform engineering, or infrastructure engineering, Operational knowledge of Kubernetes, Experience diagnosing and resolving production performance issues, Python or Go coding ability
Nice to Have
Knative experience, KEDA experience, HPA configs experience, KEDA ScaledObjects experience, PodDisruptionBudgets experience, PreStop hooks experience, Pod lifecycle understanding, Scheduler behavior understanding, Resource saturation diagnosis, Timeout failure diagnosis, Scheduling problem diagnosis, Graceful shutdown gap diagnosis
What You'll Do.
Own production reliability
Drive incident process maturity
Dig into k8s internals
Work on observability
Establish latency SLOs
Create capacity dashboards
Conduct capacity planning
Establish throughput benchmarks
Detect performance regressions
Support fleet operations
Contribute to upgrade process
How You'll Work.
Team & Collaboration
Work with infra engineers; Work with product engineers
Full Job Description
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 & 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 infrastructur
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