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Overview
Join Airbnb as an Operations Engineer in the BizTech team, focusing on AI-driven operational health and automation to enhance service quality and efficiency. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation. We partner across BizTech to scale service quality, efficiency, and resilience.
A Typical Day
- •Manage the ticket queue prioritizing and resolving requests while identifying recurring categories to automate or deflect.
- •Participate in a rotating on-call and incident response schedule, including weekends, troubleshooting and documenting issues in real time.
- •Build and maintain monitoring dashboards (Tableau, Superset, Grafana) that track service health, availability, and data quality, flagging gaps as they emerge.
- •Use AI-assisted tools (e.g., Claude, Copilot) to speed up triage, root-cause analysis, scripting, and documentation — while knowing when a problem needs hands-on judgment instead.
- •Write and maintain code in general-purpose languages (Python, Go, JavaScript, TypeScript, Bash) to automate operational workflows.
- •Partner with global stakeholder teams to drive issues to resolution.
Your Expertise
- •3+ years of experience with observability and metrics tooling (e.g., Prometheus, Grafana, Datadog, ElasticSearch).
- •3+ years working with data querying and pipelines (e.g., SQL, Airflow, Trino, SQS).
- •Working knowledge of network fundamentals and hardware (e.g., Cisco, Palo Alto).
- •Experience with Infrastructure as Code.
- •Hands-on experience with CI/CD and automation tooling (e.g., Jenkins, ArgoCD, GitHub Actions) across AWS, GCP, or Oracle Cloud.
- •Comfort working in ticket/workflow-driven environments using Jira and Confluence.
- •Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta) is a plus.