Operations Engineer, BizTech
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Software Engineering
- Source
- airbnb
- First observed
- 2026-08-19 07:53 UTC
- Last seen
- 2026-08-19 07:53 UTC
- Source claims posted
- 2026-07-24 09:09 UTC
- Consecutive misses
- 2 of 3
What the posting says
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.
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 3 observation(s).
- + Days open - fineOpen for 1 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#172823 2026-08-19 07:53 UTCPublished
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#206561 2026-08-20 07:36 UTCNot seenMiss 1 in a row
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#207966 2026-08-20 09:24 UTCNot seenMiss 2 in a row