# Operations Engineer, BizTech

**Company**: Airbnb
**Location**: Remote- USA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $136,000-$160,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q63327

**Apply**: https://job-boards.greenhouse.io/airbnb/jobs/8074955?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c295745b-1c4

## Description

As an Operations Engineer at Airbnb's BizTech, you will apply AI to ensure operational health, using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability.

You will prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over. Your goal is to shrink the backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and enhance dashboards/reporting with AI-driven insights.

Your typical day will involve:

- Managing the ticket queue, prioritizing and resolving requests while identifying recurring categories to automate or deflect

- Participating in a rotating on-call and incident response schedule, including weekends, troubleshooting and documenting issues in real time

- Building and maintaining monitoring dashboards (Tableau, Superset, Grafana) that track service health, availability, and data quality

- Using AI-assisted tools (e.g., Claude, Copilot) to speed up triage, root-cause analysis, scripting, and documentation

- Writing and maintaining code in general-purpose languages (Python, Go, JavaScript, TypeScript, Bash) to automate operational workflows

- Partnering with global stakeholder teams to drive issues to resolution

You should have:

- 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

The base pay range for this role is $136,000-$160,000 USD per year.

## Skills

### Required
- observability
- metrics tooling
- data querying
- pipelines
- network fundamentals
- Infrastructure as Code
- CI/CD
- automation tooling

### Nice to have
- enterprise SaaS tools
- SSO/identity integration

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/airbnb/jobs/8074955?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)