Distributed Systems Test Engineer

New

Skills

Architecture AWS Data Analytics Engineer Kubernetes Openstack Python Software Engineering Terraform Test automation

Join Canonical’s globally distributed team as a Distributed Systems Test Engineer, where you'll contribute to the quality and resilience of cloud-native products. Work remotely to develop, automate, and enhance testing frameworks and CI pipelines for multi-cloud environments, ensuring the reliability of solutions like Juju, OpenStack, and Kubernetes. Leverage your expertise in Python or Go, modern test strategies, and data-driven methodologies to drive innovation in cloud application validation and AI/ML-powered analytics.

Job Overview

As a member of the Distributed Systems testing team, you will design and implement automated testing approaches and infrastructure for cloud orchestration tools and applications. You will collaborate closely with international colleagues to deliver high-quality solutions that power Canonical’s cloud integration platforms, working with the latest technologies in public and private cloud environments.

Key Responsibilities
  • Create and maintain automated testing frameworks for validating reliability, performance, and resilience of distributed cloud systems.
  • Enhance and manage CI pipelines for deployment and testing of cloud-native applications.
  • Develop and debug distributed systems across diverse platforms and environments.
  • Collaborate with engineering teams to provide robust testing tools and practices company-wide.
  • Analyze and report on test results, leveraging data analytics and AI/ML pipelines.
Required Skills & Qualifications
  • Strong proficiency in Python or Go programming.
  • Experience with distributed systems testing and automation.
  • Familiarity with CI tools such as Jenkins, CircleCI, or GitHub CI.
  • Knowledge of cloud technologies: OpenStack, Kubernetes, Terraform, AWS.
  • Solid understanding of Linux system architecture and networking fundamentals.
  • Ability to analyze large multidimensional datasets and operate data platforms.
  • Experience developing AI/ML pipelines is a plus.
  • Excellent collaboration and communication skills in a remote, global team.
  • Willingness to travel internationally 2-4 weeks per year.
  • Commitment to quality engineering and continuous learning.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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