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查看雇主原标题Senior Platform Engineer

Adyen · Amsterdam

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

英文原文

该职位由雇主以英文发布,暂无中文版本,下面完整显示英文原文。 查看官方职位页面.

职位描述

Senior Platform Engineer (Distributed Data Stores)

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.

Senior Platform Engineer - Distributed Data Stores

Adyen is in search of a Platform Engineer for our NoSQL team with a strong background in Python or Go. to join our team in Amsterdam. Our platforms are scaling rapidly, and you will play a critical role in developing, optimizing, and scaling distributed data systems that power our core services.

In this role, you will work at the intersection of software engineering, database administration, and infrastructure operations. You’ll be responsible for both building the tools that manage our data and the underlying infrastructure that keeps our clusters running. You will collaborate with engineers across teams to manage and enhance distributed data stores such as Cassandra, Elasticsearch, and Redis, while helping us explore new service offerings such as Clickhouse. You will help to design partitioning and clustering strategies, improve system performance, and ensure high availability for globally distributed services.

岗位职责

• Develop robust tooling and automation using Python or Go to manage, scale, and monitor distributed data stores.

• Design, build, and optimize distributed data stores to ensure scalability, fault tolerance, and high availability.

• Develop and implement data partitioning, clustering, and sharding strategies for large-scale global systems.

• Collaborate with platform and infrastructure teams to ensure seamless integration and operation of distributed systems.

• Troubleshoot performance bottlenecks and work on mission critical systems to ensure availability in production environments.

任职要求

• Experience working with distributed data stores like Cassandra, Redis, Clickhouse, or similar technologies.

• Solid programming experience with Python or Go, with a track record of building reliable infrastructure automation and developer tooling.

• Familiar with partitioning, replication, consistency models, and CAP theorem. Familiar with data distribution strategies like sharding and consistent hashing.

• Demonstrated ability to troubleshoot and resolve issues in large-scale, production environments with distributed systems.

• You are a proactive problem solver, willing to take ownership of challenges. A team player with a strong desire to learn and improve continuously.

• Develop and maintain tools and libraries for managing different distributed data stores, automating routine tasks, and ensuring consistent deployment practices.

• Participate in a 24/7 on-call rotation once or twice a month, responding to and resolving urgent issues to maintain system stability and minimize downtime.

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 5 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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