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Site Reliability Engineer

Unstructured

midpermanentdevops United States 49 days ago via LinkedIn

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Tags

Site Reliability EngineeringKubernetesPythonGoKnativeKEDAObservabilitySLOsCapacity PlanningLoad Testing

About the role

Role Overview

Unstructured is hiring a Site Reliability Engineer (SRE) for its small, technically deep Infra team. The team owns the reliability and performance of the platform end-to-end, working across infrastructure provisioning, Kubernetes operations, workflow orchestration, and core services.

What You’ll Own

  • Production reliability across Unstructured’s Knative/KEDA/Kubernetes document processing platform
  • Proactive detection and diagnosis of degradation, root-cause analysis, and shipping fixes
  • Observability & SLOs: end-to-end tracing, latency SLOs, capacity dashboards, and alerting
  • Load testing & capacity planning: define throughput benchmarks and detect performance regressions early
  • Fleet operations: contribute to safe, automated upgrade processes for production systems

What We’re Looking For

  • 4+ years in SRE, platform engineering, or infrastructure engineering in a production Kubernetes environment
  • Strong Kubernetes operational expertise, including hands-on use of:
    • HPA, KEDA ScaledObjects
    • PodDisruptionBudgets, preStop hooks, PriorityClasses
    • Understanding of pod lifecycle and scheduler behavior
  • Proven experience diagnosing and resolving production performance issues (e.g., resource saturation, timeouts, scheduling problems, graceful shutdown gaps)
  • Enough Python or Go to read service code, trace bugs to root cause, and implement targeted fixes

Nice-to-Haves / Implied Strengths

  • Experience with Knative and Kubernetes-based workflow orchestration
  • Comfort owning incident process maturity and reliability engineering practices

About Unstructured

Unstructured is an enterprise data transformation company focused on generative AI and LLM-ready data pipelines. Its open-source tooling is used widely across commercial and federal production workflows to convert documents and other content types (e.g., PDFs, HTML, Word, images, email) into scalable AI-ready outputs.

Scraped 6/15/2026