Distributed Systems Testing Software Engineer, Python / Go

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 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 pract...

The Distributed Systems testing team at Canonical is responsible for the high quality of Canonical’s Cloud solutions based on for example Juju, Terraform, OpenStack, or Kubernetes. Systems are tested and deployed under highly diverse conditions, from bare metal in customer data centers to public clouds such as AWS, ...

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

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 travel per year
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