We 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: this is a Globally remote role

ADDITIONAL SKILLS THAT YOU MIGHT ALSO BRING

• Collecting and analyzing large multidimensional datasets
• Operating data platforms: key-value stores, relational or document databases, event buses
• Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
• Developing AI/ML pipelines

Please refer the Job description for details