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Senior Software Engineer - Streaming Platform
Adyen — престижный финтех-единорог с мировым именем. Работа над ключевой инфраструктурой (Kafka/Flink) для таких клиентов, как Microsoft и Uber, предлагает уникальные технические вызовы и отличные карьерные перспективы.
Сложность вакансии
Высокая сложность обусловлена требованием 7+ лет опыта, глубокими знаниями многопоточности Java и экспертным владением Kafka/Flink для работы с высоконагруженными системами.
Анализ зарплаты
Зарплата для Senior-разработчиков в Бангалоре в международных финтех-компаниях обычно выше среднего по рынку Индии. Adyen известен конкурентными пакетами, включающими опционы, что может значительно превышать базовые рыночные показатели.
Сопроводительное письмо
Dear Adyen Hiring Team,
I am writing to express my strong interest in the Senior Software Engineer position for the Streaming Platform team. With over 7 years of experience in backend development and a deep specialization in distributed systems, I have closely followed Adyen's impressive growth as a financial technology leader. My expertise in Java concurrency and hands-on experience with Apache Kafka and Flink aligns perfectly with your mission to provide robust, real-time data processing services for critical operations like reporting and observability.
In my previous roles, I have successfully designed and scaled high-performance streaming solutions and mentored engineering teams on best practices for stream processing. I am particularly drawn to Adyen's "office-first" culture of collaboration and your commitment to engineering for ambition. I am eager to bring my technical skills in Kubernetes and fault-tolerant systems to help drive the strategic vision of your streaming platform in Bengaluru.
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Откликнитесь в adyen уже сейчас
Присоединяйтесь к Adyen в Бангалоре, чтобы строить будущее стриминговых платформ для мировых гигантов вроде Meta и Uber!
Описание вакансии
This is Adyen
Adyen is the financial technology platform of choice, offering a comprehensive solution encompassing payments, data, and financial products for renowned customers like Meta, Uber, H&M, and Microsoft. We value ambition and strive to engineer for it, creating an environment filled with opportunities and a supportive culture to allow our people to truly own their careers. The individuals at Adyen are driven, tackling unique technical challenges at scale and solving them as a team. Together, we deliver innovative, ethical solutions that enable businesses to achieve their ambitions faster.
About the Role
Adyen is looking for a Software Engineer to join our Streaming Platform team. This team is part of the Platform Engineering group and is at the heart of Adyen's real-time data streaming capabilities, providing the essential infrastructure and services that power critical(e.g. Reporting, Observability, Telemetry) operations across the company. You will play a key role in designing, scaling, building, and maintaining highly reliable and scalable streaming solutions that empower all engineers at Adyen to leverage real-time data.
Our team is responsible for providing robust services around Apache Kafka and Apache Flink, ensuring the utmost reliability for real-time data processing. We strive to create a seamless and efficient streaming experience, enabling our product engineering teams to build innovative features and make data-driven decisions at lightning speed.
What You'll Do
- Design, develop, and deploy scalable, high-performance streaming services and platforms primarily involving Apache Kafka and Apache Flink.
- Enhance the quality, reliability, and performance of our existing streaming infrastructure.
- Collaborate with cross-functional teams, including product engineers and other platform engineering teams, to build and deliver effective and scalable solutions.
- Drive the company-wide adoption of best practices for real-time data streaming and stream processing
- Contribute to the strategic vision and roadmap for Adyen's streaming platform.
- Provide technical guidance and mentorship to other engineers within the team.
- Provide technical support to streaming platform customers.
- Participate in on-call rotations
Who You Are
- 7+ years of backend engineering experience with strong knowledge of distributed systems
- Deep understanding of Java, including util.concurrent and concurrency primitives, dependency injection principles. Good scripting skills and ability to pick up new languages.
- Deep understanding of stream processing concepts and hands-on experience with Apache Kafka Or Apache Flink. Experience with other streaming technologies is a strong plus
- Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems is a strong plus
- Experience with using and building on Kubernetes is a strong plus
- Infrastructure and Platform Experience
- Ability to work in a fast-paced, collaborative, and dynamic environment.
- Excellent communication and interpersonal skills.
Our Diversity, Equity, and Inclusion commitments
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
What’s next?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 10 business days. Our interview process tends to take about 4 weeks to complete but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This role is based out of our Bengaluru office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
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Навыки
- Java
- Apache Kafka
- Apache Flink
- Distributed Systems
- Kubernetes
- Concurrency
- Backend
Возможные вопросы на собеседовании
Вакансия требует глубокого понимания Java util.concurrent для работы с распределенными системами.
Можете ли вы объяснить разницу между Memory Barrier и Happens-before в контексте модели памяти Java и как это влияет на производительность Kafka-продюсеров?
Команда отвечает за надежность обработки данных в реальном времени.
Как вы обеспечиваете семантику 'exactly-once' при обработке данных в Apache Flink, и какие компромиссы возникают при включении чекпоинтов?
Роль подразумевает масштабирование платформы.
Опишите ваш опыт ребалансировки больших кластеров Kafka: с какими проблемами вы сталкивались и как минимизировали влияние на потребителей (consumers)?
Упоминается работа с Kubernetes и отказоустойчивыми системами.
Как бы вы спроектировали стратегию аварийного восстановления (disaster recovery) для платформы потоковой передачи данных, развернутой в нескольких зонах доступности Kubernetes?
Позиция Senior подразумевает менторство и стратегическое влияние.
Как вы подходите к внедрению новых стандартов стриминга в масштабах всей компании, когда разные продуктовые команды имеют разные уровни технической зрелости?
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