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 practice and are looking for people who can bring deep engineering insights and a data driven approach to testing, test automation, reporting and data analytics.

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, GCE, Azure.

As a software engineer you will have the opportunity to develop CI pipelines which power Canonical’s cloud integration testing and reporting. You will help test our products on new clouds and advance our 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.

The role entails

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

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
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

Nice-to-have skills

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

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events

Distributed Systems Testing Software Engineer, Python / Go

Anywhere in the world

Remote

Mid-level

Canonical