Airbnb

Operations Engineer, BizTech

Middle · Удалённо · Сан-Франциско, США · Английский B2

Навыки

  • Airflow
  • ArgoCD / Flux
  • Работа с бэклогом
  • Bash / shell
  • CI/CD
  • Cisco
  • Data Quality
Ещё 17
  • Datadog / New Relic
  • Elasticsearch
  • Форензика и реагирование
  • Grafana
  • JavaScript
  • Jenkins
  • LLM
  • Мониторинг и observability
  • Prometheus
  • Python
  • SQL
  • SRE-практики
  • Superset
  • Tableau
  • Terraform
  • Trino / Presto
  • TypeScript

О компании и продукте

  • 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.
  • 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.

Задачи

  • 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

Требования

  • 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 US - Remote Eligible
  • The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
  • While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity
  • This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list
  • If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from

Условия

  • Our job titles may span more than one career level
  • The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands
  • The base pay range is subject to change and may be modified in the future
  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
  • Pay Range
  • 136,000 — $160,000 USD

Паспорт вакансии

История публикации

Появилась в Вакандии30 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 27 дней назад
Среди похожихНет данных138 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдMiddleвыведено из другого признака
Формат работыУдалённо
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата136 000 — 160 000 USD в годвычитано из текста вакансии

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.

Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник

Проверка Вакандии

Источники и свежесть

Тип источника
Карьерный сайт работодателя
Найдено публикаций
1
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  • greenhouseОсновная публикация · 2026-07-20

Работодатель

Airbnb

50 активных вакансий · вилка работодателя указана в 6%

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Безопасность

Отклик уходит на сайт источника

Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайтеcareers.airbnb.com.

Признаки мошенничества
  • Просят предоплату, «залог» или деньги за обучение и оборудование.
  • Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
  • Быстро уводят в мессенджер и торопят с решением.
  • Обещают большой доход без опыта и без деталей задач.

Настоящий работодатель не просит денег и платёжных данных до трудоустройства.

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