# Operations Engineer, BizTech

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $136k – $160k/yr
**Experience:** 3+ years
**Skills:** Prometheus, Grafana, Datadog, Elasticsearch, SQL, Airflow, trino, SQS, Infrastructure As Code, Jenkins, Argo CD, GitHub Actions, AWS, GCP, Jira
**Posted:** 2026-07-20

> Operations Engineer using AI, LLMs, and intelligent automation for ticket triage, incident response, self-healing observability, and workflow automation in Airbnb's BizTech Global Operations team. Requires 3+ years in observability, data pipelines, IaC, and CI/CD across clouds.

## Job Description

## Responsibilities
- 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.
- Apply AI at the forefront of operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability.
- Prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over.

## 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.

## Nice-to-Haves
- Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta).

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