Senior Platform Engineer (Distributed Data Stores)

Adyen; New York (NY); Sur place; USD 120 000 - 150 000; Plein temps

Résumé du poste

A leading payment platform is seeking a highly skilled Senior Platform Engineer to focus on critical data systems. In this role, you will design and implement infrastructure for PostgreSQL, Apache Cassandra, and more, ensuring high availability and performance. The ideal candidate has strong programming skills in Go or Python, experience with Kubernetes, and excellent problem-solving abilities. Join a dynamic team dedicated to innovation and efficiency in data management.

Qualifications

• Solid experience in systems engineering principles.
• Strong programming skills in Go or Python.
• Deep understanding of Linux operating systems.
• Hands-on experience with Kubernetes.
• Proven track record of solving complex technical issues.
• Eager to learn new technologies.

Responsabilités

• Build and evolve the infrastructure for core data platforms.
• Ensure high availability and performance of data systems.
• Identify and troubleshoot performance bottlenecks.
• Automate operational tasks to improve efficiency.
• Write and debug clean, maintainable code.
• Collaborate with engineering teams on data platform needs.
• Participate in on-call rotation for production systems.

Connaissances

Systems Engineering

Programming in Go or Python

Linux expertise

Kubernetes

Problem-solving

Collaboration

Outils

Apache Cassandra

Puppet

Ansible

Terraform

Vault

Prometheus

Grafana

ELK stack

Description du poste

Adyen 12 August 2025

We are seeking a highly skilled Senior Platform Engineer to join our Platform Engineering organization, focusing on critical data systems like PostgreSQL, Apache Cassandra, Apache Kafka, and CockroachDB. You will play a vital role in ensuring the resilience, performance, and developer experience of Adyen's core platform, which processed over a trillion euros in payments in 2024.

What you'll do:

• Design and Implement: Build, maintain, and evolve the infrastructure and tooling that supports our core data platforms.
• System Reliability: Ensure the high availability, performance, and scalability of our critical data systems.
• Troubleshoot and Optimize: Deep dive into performance bottlenecks, identify root causes, and implement effective solutions through analyzing system metrics, core dumps, traces, and logs.
• Automation: Develop and maintain tooling to streamline operational tasks and improve efficiency.
• Code and Debug: Write high-quality, maintainable code in languages such as Go or Python to solve complex engineering problems and debug existing systems.
• Collaboration: Work closely with other engineering teams to provide expert guidance and support for their data platform needs.
• On-Call: Participate in an on-call rotation to support the reliability of our production systems.

Who you are:

• Systems Engineering: Solid experience in systems engineering principles, including distributed systems, consensus-based systems, high availability, and disaster recovery.
• Coding Proficiency: Strong programming skills in at least one of the following languages: Go or Python. Comfortable writing clean, efficient, and testable code, and adept at debugging complex applications.
• Linux Expert: Deep understanding of Linux operating systems, including networking, storage, and performance tuning.
• Kubernetes Savvy: Hands-on experience with Kubernetes, including deploying, managing, and troubleshooting applications within a Kubernetes environment.
• Problem Solver: Proven track record of deep-diving into complex technical issues, identifying root causes, and implementing robust solutions.
• Curious: Eager to learn new technologies, dive deeper into complex systems, and continuously improve your skills.
• Team Player: Excellent communication and collaboration skills, with a willingness to share knowledge and contribute to a positive team environment.
• Experience with running or managing an Apache Cassandra platform offering.
• Experience with other database technologies or distributed systems.
• Experience with Puppet, Ansible, Terraform, and/or Vault.
• Familiarity with observability tools (e.g., Prometheus, Grafana, ELK stack).
• Experience in a fast-paced, high-growth environment.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

MongoDB 1633 Broadway 38th floor, New York, NY 10019, USA