Distributed Systems Testing Software Engineer, Python​/Go

Distributed Systems Testing Software Engineer, Python / Go

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in public cloud, data science, AI, engineering innovation, and IoT. Canonical is founder‑led, profitable, and growing.

Software Engineer for Distributed Systems Testing – you will build and validate resilient distributed systems, drive the success of Canonical's Ubuntu and Juju in multi‑cloud deployments, and bring a data‑driven approach to testing, test automation, reporting, and analytics. The role focuses on CI pipelines, AI/ML pipelines for test result analysis, and leading initiatives.

• Develop automated testing approaches and infrastructure to validate reliability, performance, and resilience of cloud orchestration tools and applications.
• Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available company‑wide.
• Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow.
• Deploy, manage, and debug highly distributed systems on clouds and bare metal.
• Monitor and report on automated testing efforts.
• Collaborate daily with a globally distributed team.

• Solid background in modern test processes and strategies.
• Experience with Python or Go development.
• Strong object‑oriented development skills.
• Working knowledge of continuous integration tools such as Jenkins, Circle
  
  CI, Git Hub Actions.
• Knowledge of networking technologies and fundamentals.
• Solid understanding of the Linux system architecture.
• Complex abstract thinking.
• 2‑4 weeks of international travel per year.

• Ability to develop and ship modern production‑grade web applications.
• Experience operating data platforms: key‑value stores, relational or document databases, event buses.
• Data collection and analytics skills for large multidimensional datasets.
• Experience with AI/ML pipelines.
• Experience with cloud technologies such as Open Stack, Kubernetes, Terraform, and AWS.

• Distributed work environment with twice‑yearly team sprints in person.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review.
• Recognition rewards.
• Annual holiday leave.
• Maternity and paternity leave.
• Team Member Assistance Program & Wellness Platform.
• Opportunity to travel to new locations to meet colleagues.
• Priority Pass and travel upgrades for long‑haul company events.

Canonical is an equal opportunity employer. We foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.