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airbnb

Operations Engineer, BizTech

Remote- USA (Remote)From $160kmidAdded today

About this role

Join Airbnb's BizTech Global Operations team as an Operations Engineer to lead AI-driven automation of corporate infrastructure and incident response. You'll combine observability expertise, automation scripting, and LLM-powered tools to reduce ticket backlogs, accelerate MTTR, and build self-healing systems that proactively catch and resolve production issues.

What you'll do

  • Manage ticket queue by prioritizing requests, resolving issues, and identifying patterns for automation or deflection
  • Participate in rotating on-call and incident response including weekends, troubleshooting and documenting issues in real time
  • Build and maintain monitoring dashboards using Tableau, Superset, or Grafana to track service health, availability, and data quality
  • Leverage AI-assisted tools for triage, root-cause analysis, scripting, and documentation while applying judgment on complex problems
  • Write and maintain automation code in Python, Go, JavaScript, TypeScript, or Bash for operational workflows
  • Partner with global stakeholder teams to drive issues to resolution and improve operational efficiency

What they're looking for

  • Observability and metrics tooling (Prometheus, Grafana, Datadog, ElasticSearch)
  • Data querying and pipelines (SQL, Airflow, Trino, SQS)
  • Network fundamentals and hardware (Cisco, Palo Alto)
  • Infrastructure as Code
  • CI/CD and automation (Jenkins, ArgoCD, GitHub Actions)
  • Programming in Python, Go, JavaScript, TypeScript, or Bash
  • Cloud platforms (AWS, GCP, Oracle Cloud)
  • Enterprise SaaS and identity integration (Salesforce, Workday, Okta)
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airbnb

Airbnb builds hospitality and travel experiences, supported by advanced technology infrastructure. The company is hiring ML engineers to develop AI-powered customer service systems and audiovisual infrastructure engineers to manage large-scale AV systems across global offices.

Website
airbnb.com
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Likely interview questions

  • Walk us through a recent incident you responded to—how did you identify the root cause and what did you automate to prevent recurrence?
  • How have you used AI or LLM tools to accelerate triage or documentation in previous operational roles, and what were the limitations you encountered?
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