Job Description
We are seeking a software engineer with a passion for building and validating resilient distributed systems at Canonical. Quality engineering is a first class practice, and we are looking for individuals who can bring deep engineering insights 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.
As a software engineer, you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results.
Location
This is a Globally remote role.
Responsibilities
- 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
Requirements
- 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
Benefits
- Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues from your team and others
- Priority Pass for travel and travel upgrades for long haul company events
Equal Opportunity Statement
Canonical believes a diverse workforce enhances our ability to deliver world class software and services. We are committed to ensuring equal employment opportunities to all qualified individuals.