Site Reliability Engineer, Adyen

• Familiar with infrastructure automation and configuration management tools (e.g. Ansible, Terraform, Puppet)
• Strong system administrator/platform engineer background with experience in large-scale distributed systems
• Experienced with infrastructure and private cloud systems (on-premise)
• A team player with strong communication skills, able to work closely with diverse stakeholders (analysts, data scientists, data engineers, infrastructure, and security teams)
• Experience developing and maintaining...
• Distributed data and compute systems (Hadoop, Druid, Trino, etc)
• Kubernetes (k8s, Docker)
• Hadoop ecosystems (Hive, YARN, HDFS, Kerberos)

Desirable

• This role blends software and systems engineering to develop the essential tools and processes that power our on-premise Big Data Platforms
• These platforms support dozens of products, hundreds of developers, and thousands of daily jobs, reinforcing Adyen’s industry-leading capabilities
• As a Data Platform SRE, you will be responsible for managing one of the largest data platforms in the world
• Your focus will be on ensuring that data, data services, and infrastructure are reliable, fault-tolerant, efficiently scalable, and cost-effective
• Beyond operations, you’ll have the opportunity to design, build, and deliver scalable systems as a Platform engineer
• If you thrive on automation and reducing manual toil, you’ll play a strategic role in shaping the future of automation for our Big Data Platforms
• You will collaborate with data and ML scientists and engineers to develop and roll out tools that enhance platform performance while operating and scaling multiple big data platforms
• This includes managing a fleet of a few thousand nodes, tens of thousands of cores, hundreds of terabytes of RAM, and tens of petabytes of storage
• This is a unique opportunity to work at scale and influence the infrastructure behind Adyen’s cutting-edge data capabilities
• Design, develop, operate, and maintain scalable, reliable, fault-tolerant, and high-performance big data platforms
• Work with distributed systems in all shapes and flavors (databases, file systems, compute, etc.)
• Shape and maintain continuous improvements and deployment of new clusters
• Implement observability solutions (logging, monitoring, alerting) to ensure system reliability and performance
• Optimize performance of large-scale distributed data platforms with appropriate cluster configurations, and resource management
• Practice sustainable incident response and blameless postmortems, with a focus on automation and root cause analysis
• Improve security and compliance by implementing access controls, encryption, and best practices for data governance
• Design and build automation tools to reduce toil and enhance the reliability of data platforms
• Self-service infrastructure to empower data teams while maintaining platform stability

• 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