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Observability Infrastructure Engineer

Оценка ИИ

Adyen — это престижный финтех-гигант с сильной инженерной культурой. Вакансия предлагает работу с огромными масштабами данных, современным стеком (OpenTelemetry, Go, K8s) и прозрачные перспективы профессионального роста в Амстердаме.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубоких знаний Linux на уровне ядра, опыта работы с петабайтами данных и владения стеком VictoriaMetrics/Elasticsearch в высоконагруженных средах. Требуется не просто администрирование, а полноценная разработка инструментов автоматизации на Go или Python.

Анализ зарплаты

Медиана100 000 €
Рынок85 000 € – 125 000 €
Оценка ИИ

Предлагаемая роль соответствует уровню Senior/Staff Engineer в Амстердаме. Рыночные оценки для таких позиций в топовых финтех-компаниях Нидерландов обычно начинаются от 85,000 EUR и могут достигать 120,000 EUR плюс бонусы и акции (RSU).

Сопроводительное письмо

I am writing to express my strong interest in the Observability Infrastructure Engineer position at Adyen. With over four years of experience in platform engineering and a deep focus on observability stacks, I have successfully managed large-scale Elasticsearch and Prometheus deployments. My background in automating complex infrastructure using Go and Python aligns perfectly with Adyen’s mission to reduce toil and build self-healing systems.

In my previous roles, I have tackled the challenges of managing petabyte-scale data and optimizing distributed tracing pipelines. I am particularly drawn to Adyen’s hybrid environment of bare-metal and Kubernetes, and I am eager to contribute to your transition towards a more automated, self-service platform. I am confident that my technical expertise in Linux kernel debugging and Kubernetes primitives will allow me to make an immediate impact on your infrastructure's reliability and performance.

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Откликнитесь в adyen уже сейчас

Присоединяйтесь к Adyen в Амстердаме, чтобы строить масштабируемые системы мониторинга для мировых гигантов вроде Uber и Microsoft!

Описание вакансии

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Observability Infrastructure Engineer

We are looking for an experienced Observability Infrastructure Engineer to join our Platform Engineering organization. You will be part of the team responsible for building and running Observability pillars on premise and on Kubernetes. Our systems collect, process, and store the logs, metrics, and traces that allow hundreds of product teams to monitor their services in real time.

This is a role for a builder and a problem solver who enjoys deep technical troubleshooting across distributed systems and then turns recurring issues into automated, repeatable solutions. You will work in a large-scale environment where we manage petabytes of data and thousands of servers. We are currently in the middle of a major transformation:  focusing on automation of operations and enabling self service for our users.

What you will do

  • Build the next generation of our platform: Design and implement the future architecture of our logging and metrics systems. You will play a key role in redesigning our infrastructure to support new global regions, ensuring data isolation and regulatory compliance in different geographies, and more.
  • Own infrastructure operations: You will take full ownership of our hybrid infrastructure, managing the lifecycle of over 1,500 servers across both bare-metal and Kubernetes environments.
  • Automate to reduce toil: You will write code in Go or Python to eliminate manual operational tasks. Your goal is to build self-healing systems that do not require manual intervention during the night. You will improve our CI pipelines to ensure that changes to our clusters are safe, predictable, and automated.
  • Optimize for scale and performance: You will dive deep into performance bottlenecks within our distributed tracing and logging pipelines. We deal with high-volume data streams that can overwhelm standard configurations. You will tune our Elasticsearch clusters, optimize Prometheus and VictoriaMetrics storage, and ensure our OpenTelemetry implementation can handle peak traffic without missing a beat.
  • Reliability and Engineering: You will participate in on-call rotations, but your primary focus will be engineering solutions that stop alerts from firing in the first place. You will help us upgrade our stack to the latest versions and ensure our platform remains secure and performant. You will improve the self-service experience by implementing automated guardrails and quota management to prevent noisy tenants from destabilizing the platform, while designing safer API access patterns for our users.

What you bring

  • 4+ years of experience in the observability domain or in a relevant platform/infrastructure domain.
  • Observability Stack Expertise: You have hands-on experience operating core telemetry data stores at scale e.g. Elasticsearch/Opensearch/VictoriaLogs/Clickhouse for logging, Prometheus/ VictoriaMetrics for metrics and Grafana Tempo for distributed tracing.
  • Linux Experience: You understand the operating system at a kernel level and can debug complex networking, file system, and performance issues on both bare metal and virtualized hardware .
  • Production Kubernetes Experience: Proven hands-on experience operating, and troubleshooting production workloads on Kubernetes (on-prem and/or cloud), including strong day-to-day use of kubectl and Kubernetes primitives (e.g. Namespaces, Pods, Deployments/StatefulSets, Services, Ingress, ConfigMaps/Secrets)
  • Software Engineering Mindset: You are proficient in Go or Python and do not just write scripts; you build tools and automation platforms that treat infrastructure as code.

Nice to have

  • Experience with large scale, multi tenant isolation and quota or cost governance approaches for telemetry platforms.​
  • Familiarity with regulated environments where security, audibility, and data handling requirements shape platform design decisions.​

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 Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

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Навыки

  • Go
  • Python
  • Kubernetes
  • Linux
  • ElasticSearch
  • Prometheus
  • VictoriaMetrics
  • OpenTelemetry
  • Grafana Tempo
  • ClickHouse
  • Infrastructure as Code
  • CI/CD

Возможные вопросы на собеседовании

Проверка опыта работы с высоконагруженными системами хранения метрик.

Как бы вы оптимизировали производительность VictoriaMetrics или Prometheus при резком росте количества временных рядов (cardinality)?

Оценка навыков траблшутинга на уровне ОС.

Опишите ваш процесс отладки сетевых задержек или проблем с дисковым вводом-выводом на уровне ядра Linux.

Проверка понимания архитектуры Kubernetes для стейтфул-приложений.

Какие основные сложности возникают при запуске Elasticsearch или Clickhouse в Kubernetes и как вы их решаете?

Оценка инженерного подхода к автоматизации.

Расскажите о самом сложном инструменте автоматизации инфраструктуры, который вы написали на Go: какую проблему он решал и как был спроектирован?

Проверка понимания концепции мультиарендности (multi-tenancy).

Как реализовать эффективное квотирование и изоляцию данных для разных команд в общей системе логирования, чтобы избежать эффекта 'noisy neighbor'?

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adyen
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