Senior · Гибрид · Амстердам, Нидерланды · Английский B2
Навыки
API (интеграции)
ClickHouse
Распределённые системы
Elasticsearch
Embedded
Grafana
Jaeger / OpenTelemetry
Ещё 9
Kubernetes
Linux
Мониторинг и observability
Ответственность за результат
Prometheus
Python
SRE-практики
Terraform
VictoriaMetrics
О компании и продукте
We are looking for an experienced Observability Infrastructure Engineer to join our Platform Engineering organization
We are currently in the middle of a major transformation: focusing on automation of operations and enabling self service for our users
Задачи
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
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
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
Требования
10+ 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
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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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