
Global payment platform for businesses
Observability Infrastructure Engineer
必須スキル
Python
Kubernetes
Go
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
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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.
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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.
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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.
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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 Victoria Metrics storage, and ensure our Open Telemetry implementation can handle peak traffic without missing a beat.
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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
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4+ years of experience in the observability domain or in a relevant platform/infrastructure domain.
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Observability Stack Expertise: You have hands-on experience operating core telemetry data stores at scale e.g. Elasticsearch/Opensearch/Victoria Logs/Clickhouse for logging, Prometheus/ Victoria Metrics for metrics and Grafana Tempo for distributed tracing.
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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 .
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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/Stateful Sets, Services, Ingress, Config Maps/Secrets)
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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
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Experience with large scale, multi tenant isolation and quota or cost governance approaches for telemetry platforms.
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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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Adyenについて

Adyen
PublicAdyen is a Dutch payment company with the status of an acquiring bank that allows businesses to accept e-commerce, mobile, and point-of-sale payments. It is listed on the stock exchange Euronext Amsterdam.
1,001-5,000
従業員数
Netherlands
本社所在地
$18B
企業価値
レビュー
10件のレビュー
4.1
10件のレビュー
ワークライフバランス
2.8
報酬
4.2
企業文化
4.3
キャリア
3.5
経営陣
3.2
75%
知人への推奨率
良い点
High salary and excellent benefits
Supportive team and collaborative environment
Professional development and learning opportunities
改善点
High workload and overwhelming demands
Poor work-life balance and long hours
Disorganized management and lack of direction
給与レンジ
38件のデータ
Director
Director · Business Analyst - Pricing
1件のレポート
$207,147
年収総額
基本給
$180,128
ストック
-
ボーナス
-
$207,147
$207,147
面接レビュー
レビュー6件
難易度
3.0
/ 5
期間
14-28週間
内定率
17%
体験
ポジティブ 0%
普通 50%
ネガティブ 50%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Skills Assessment
5
Final Technical Interview
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
最新情報
Sokin Ties Up With Adyen to Offer Unified Global Payments and Treasury Platform - TipRanks
TipRanks
News
·
1w ago
Adyen to acquire Talon.One for €750m in loyalty push - MSN
MSN
News
·
1w ago
Justice Department to drop Powell investigation; Adyen to buy German loyalty platform in first-ever acquisition; and more in today's Bankers' Hours - LinkedIn
News
·
1w ago
Adyen to acquire loyalty platform Talon.One for €750m - FinTech Futures
FinTech Futures
News
·
1w ago