Career Opportunity at Canonical
We are seeking a software engineer with a passion for building and validating resilient distributed systems at Canonical. Quality engineering is a first class engineering practice at Canonical, and we are looking for individuals who can bring deep engineering insights and a data-driven approach to test automation, reporting, and data analytics.
About the Role
The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, and 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.
Role Location and Responsibilities
- This is a globally remote role.
- Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications.
- 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.
Desired Skills
- 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 per year.
Additional Skills
- 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.
What We Offer
We consider geographical location, experience, and performance in shaping compensation worldwide. In addition to base pay, we offer a performance-driven annual bonus and provide additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.