Distributed Systems Testing Software Engineer, Python​/Go

Distributed Systems Testing Software Engineer, Python / Go

Join to apply for the Distributed Systems Testing Software Engineer, Python / Go role at Canonical

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 enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. The company is a pioneer of global distributed collaboration, with 1,200+ colleagues in 75+ countries and very few office‑based roles.

We are hiring a Software Engineer for Distributed Systems Testing with a passion for building and validating resilient distributed systems. You will develop CI pipelines, test our products on new clouds, and advance AI/ML pipelines for automatic analysis of test results.

• Creating automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications.
• Enabling engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available company‑wide.
• Enhancing continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow.
• Deploying, managing, and debugging highly distributed systems on clouds and bare metal.
• Monitoring and reporting on automated testing efforts.
• Collaborating 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 are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.