OverviewWe are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud 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 test automation, reporting, and data analytics. The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure. As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting.



Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical. Location: globally remote role.

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Responsibilities
- Create automated testing approaches and infrastructure for validating 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 across the company
- Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
- Deploy, manage, and debug highly distributed systems
- Monitor and report on automated testing efforts
- Collaborate daily with a globa

📌 Distributed Systems Software Engineer, Python (Salamanca)
🏢 Canonical
📍 Salamanca