- Страна
- США
- Зарплата
- 204 000 $ – 255 000 $
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Staff Software Engineer (Technical Lead), Storage
Престижная компания, высокая заработная плата, возможность удаленной работы и работа над критически важной инфраструктурой мирового уровня.
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту (9+ лет), необходимостью глубокой экспертизы в распределенных системах и подтвержденным опытом технического лидерства в масштабах всей организации.
Анализ зарплаты
Предложенная зарплата ($204k - $255k) находится в верхнем сегменте рынка для Staff-позиций в США, особенно учитывая дополнительные бонусы и акции (RSU), которые типичны для Airbnb.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Software Engineer (Technical Lead) position within the Online Data organization at Airbnb. With over 9 years of experience in building and scaling high-performance distributed systems, I have a proven track record of architecting multi-tenant storage solutions and leading engineering teams through complex, multi-quarter projects. My background in managing large-scale KV stores and CDC pipelines aligns perfectly with the mission of your KV Stores & Ingestion teams.
At my previous roles, I have successfully navigated complex codebases and influenced long-term technical roadmaps while mentoring senior engineers. I am particularly drawn to Airbnb's commitment to providing intuitive data interfaces for builders and your sophisticated use of technologies like Redis, Kafka, and Flink. I am confident that my expertise in distributed coordination services and operational excellence will contribute significantly to the reliability and scalability of Airbnb's online serving storage systems.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в airbnb уже сейчас
Присоединяйтесь к команде Airbnb и создавайте будущее распределенных систем хранения данных мирового масштаба!
Описание вакансии
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:
The Online Data organization ensures Airbnb customers are delighted in experiences backed by real-time data. We empower Airbnb’s builders to create these experiences by offering intuitive data interfaces and tools without the need to be database experts.
The Difference You Will Make:
We’re hiring across multiple teams within our organization. Explore the section below to learn more about each team and the opportunities available.
The KV Stores & Caching team within Airbnb's Online Data org owns and operates critical pieces of Airbnb's online serving storage systems. Specifically, the team owns and is responsible for:
- A highly available, low-latency, distributed, multi-tenant KV store for Airbnb. This platform is used by user profiling, Search, ML, and pricing teams, supporting millions of read QPS and providing 99.9+% availability across thousands of customer tables.
- A set of control planes and clients that manage ElasticCache clusters for hundreds of Airbnb production clusters, at million+ IOPS and million+ indexing QPS.
- A scalable, reliable, performant distributed coordination service supporting many mission-critical systems (MySQL, Redis, Kafka, Flink, Druid, Zookeeper, etc).
The mission of the Ingestion team in the Online Database Infrastructure org is to provide a managed, reliable, performant and scalable platform for exporting data out of Airbnb’s online databases for asynchronous processing. The team currently builds and operates two managed solutions - one for near real time access to change logs (CDC) and another to provide periodic mutation and full table snapshots.
- As a member of this team you would be working with talented engineers on cutting edge technologies to help support Airbnb’s business. You will be the resident expert on the online data exports platform and guide and collaborate with our internal product teams to effectively use the platform.
- Lead a team of developers to deliver multi-quarter cross functional projects.
- Stay up-to-date with the latest developments in data ingestion systems and evaluate and incorporate new technologies and methodologies to improve the existing data ingestion architecture/solution.
- Influence the team’s and organization’s long-term roadmap and strategy.
- Mentor and coach team members, providing guidance and support to enhance their skills and technical standards in the team.
- Raise operational standards by effectively and proactively identifying, debugging and fixing operational issues. Be part of the oncall rotation for the Ingestion team.
Your Expertise:
- 9+ years of relevant industry experience
- Proven track record of leading and mentoring engineering teams, setting technical direction, and growing engineers in their careers.
- Deep expertise in distributed systems, multi-tenant storage, and infrastructure. You've architected and scaled high-performance, business-critical systems.
- Demonstrated ability to collaborate and influence across teams and organizations, building alignment on technical strategy.
- Strong judgment on technical trade-offs and ability to drive decisions that balance short-term delivery with long-term maintainability.
- Experience onboarding to and navigating a broad and complex codebase, and enabling others to do the same.
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. Click here for the up-to-date list of excluded states. 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.
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.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
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
$204,000—$255,000 USD
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Distributed Systems
- Key-Value Store
- Infrastructure Architecture
- CDC
- Redis
- Kafka
- Flink
- MySQL
- Zookeeper
- Java
- Go
- Scalability
Возможные вопросы на собеседовании
Вакансия требует глубоких знаний в области распределенных хранилищ.
Как бы вы спроектировали многопользовательское (multi-tenant) KV-хранилище, чтобы обеспечить изоляцию ресурсов и предотвратить проблему 'noisy neighbor'?
Команда занимается CDC (Change Data Capture).
С какими основными проблемами согласованности данных вы сталкивались при реализации систем захвата изменений (CDC) и как их решали?
Роль подразумевает влияние на стратегию всей организации.
Опишите случай, когда вам пришлось убеждать руководство или другие команды принять непопулярное техническое решение. Каков был результат?
Работа с высоконагруженными системами (миллионы QPS).
Как вы подходите к отладке трудновоспроизводимых проблем производительности в распределенной системе, работающей под нагрузкой в несколько миллионов запросов в секунду?
Обязанности включают менторство.
Как вы подходите к профессиональному развитию старших инженеров (Senior/Staff) в вашей команде, чтобы помочь им расти дальше?
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- Страна
- США
- Зарплата
- 204 000 $ – 255 000 $