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 breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world’s leading public cloud and silicon providers, and industry leaders in many sectors. The company is founder‑led, profitable, and growing.
We are hiring a
Software Engineer for Distributed Systems Testing
with a passion for building and validating resilient distributed systems. You will drive the success of those leveraging Canonical’s Ubuntu and Juju to build multi‑cloud deployable applications. We see quality engineering as a first‑class engineering practice and are looking for people who can bring deep engineering insights and a data‑driven approach to testing, test automation, reporting and data analytics.
The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on tools such as Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centres to public clouds such as AWS, GCE, and Azure.
As a software engineer you will have the opportunity to develop CI pipelines which power Canonical’s cloud integration testing and reporting. You will help test our products on new clouds and advance our AI / ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems and imagines and leads new initiatives within the team and across Canonical.
Responsibilities
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 across the company
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
Qualifications
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, CircleCI, GitHub 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
Nice‑to‑have skills
Ability to develop and ship modern production‑grade web applications
Ability to operate 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 OpenStack, Kubernetes, Terraform, and AWS
Benefits
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.
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Distributed Systems Testing Software Engineer Python Go • Toronto, Canada