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

What your day will look like

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 globally distributed team

What we are looking for in you

Solid background in modern test processes and strategies
Experience with Python or Go development
Strong object oriented development skills
Ability to develop and ship production grade modern web applications
Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
Knowledge of networking technologies and fundamentals
Solid understanding of Linux system architecture
A capacity for complex abstract thinking
Capability for 2-4 weeks of international travel travel per year

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

Distributed Systems Software Engineer, Python / Go

Anywhere in the world

Remote

Mid-level

Canonical