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.
The Difference You Will Make:
As an Operations Engineer, you'll apply AI at the forefront of BizTech's 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. AI fluency is core to this role, not an add-on. You'll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over. Success looks like a shrinking backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and dashboards/reporting enhanced with AI-driven insights that give stakeholders clear, trustworthy visibility into service health and data quality.
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
Your Location:
This position is India - Remote (Eligible anywhere within India). The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
Skills Required
- 3+ years with observability and metrics tooling (Prometheus, Grafana, Datadog, ElasticSearch)
- 3+ years working with data querying and pipelines (SQL, Airflow, Trino, SQS)
- Proficiency writing and maintaining code in Python, Go, JavaScript, TypeScript, Bash
- AI fluency and experience using LLM-assisted tools (e.g., Claude, Copilot) for triage and automation
- Working knowledge of network fundamentals and hardware (Cisco, Palo Alto)
- Experience with Infrastructure as Code
- Hands-on experience with CI/CD and automation tooling (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 (Salesforce, Workday) and SSO/identity integration (Okta)
- Willingness to participate in rotating on-call and incident response (including weekends)
Airbnb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.
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Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
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Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
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Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.
Airbnb Insights
What We Do
Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.
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