Operations Engineer

at Airbnb

📍 United States

USD 136,000-160,000 per year

MIDDLE

✅ Remote

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI AWS @ 3 Airflow @ 5 ArgoCD @ 3 Bash CI/CD @ 3 Datadog @ 5 ElasticSearch @ 5 GCP @ 3 GitHub @ 3 GitHub Actions @ 3 Go Grafana @ 5 IaC JavaScript Jenkins @ 3 Jira @ 5 LLM Observability @ 5 Oracle @ 3 Prometheus @ 5 Python SQL @ 5 Salesforce @ 1 Tableau Trino @ 5 TypeScript

Details

Airbnb’s BizTech team provides reliable corporate tools, innovative products, and technical support across Airbnb teams. The Global Operations team in BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation.

As an Operations Engineer, you’ll apply AI to operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. You’ll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously identify repetitive work for automation.

Responsibilities

Manage the ticket queue to prioritize and resolve 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) to 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 hands-on judgment is needed
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

Requirements

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