Site Reliability Engineer - Kubernetes - Data Platforms - Adyen

Ayden

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Work type
On-site
Location
Amsterdam, Netherlands
Posted
57 days ago

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How this pay compares to similar roles

Similar $179k
$132k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $146,158–$211,200.

Based on 240 similar postings.

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About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 114 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 44 roles with salary data.

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At a glance

TL;DR · Site Reliability Engineer - Kubernetes - Data Platforms - Adyen

As a Site Reliability Engineer at Adyen in Amsterdam, you will join a team of nine engineers focused on Kubernetes cluster management and core services to build a self-service data platform. Your daily responsibilities include designing and building on-premise infrastructure, provisioning and maintaining Kubernetes clusters, balancing mixed workloads, managing advanced scheduling and hardware, optimizing storage and network configurations, implementing FinOps and security measures, and developing automation tools to reduce manual tasks. You will need expertise in Kubernetes, Linux, networking (DNS, TLS, load balancing), configuration management (Ansible, Puppet), and distributed storage systems (Hadoop, Minio). The role involves working on a flexible Kanban-style project environment with opportunities for growth in SWE, Systems, or Data Engineering tracks, addressing real-world challenges and ensuring high availability of critical services.

What you'll do

  • Design and build on-premise Kubernetes infrastructure, managing DNS, TLS, and load balancers.
  • Maintain and scale Kubernetes clusters to ensure high availability and meet SLOs for end-users.
  • Balance mixed workloads to prevent resource starvation between batch compute jobs and user-facing services.
  • Manage advanced scheduling policies and diverse hardware profiles for intensive ML/AI processing.
  • Optimize storage and network interfaces to handle massive data volumes and mitigate I/O bottlenecks.
  • Implement FinOps strategies and security measures to control costs and ensure secure isolation across teams.

What we're looking for

  • Experienced in Kubernetes management and distributed systems operations.
  • Proficient in Linux, networking (DNS, TLS, load balancing), and GitOps practices.
  • Hands-on experience with configuration management tools like Ansible or Puppet.
  • Expertise in observability, including alerting and monitoring complex systems.
  • Background in software engineering, specialized networking, or GPU management.
  • Familiarity with data ecosystem tools such as Airflow and HDFS.

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