Distributed Systems Testing Software Engineer, Python / Go

Summary

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. They are hiring a Software Engineer for Distributed Systems Testing who will be responsible for creating automated testing approaches and enhancing CI pipelines to ensure the quality of Canonical’s cloud solutions.

Responsibilities

• 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

Skills

• 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

Qualifications

Must Haves

• 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 Haves

• 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

Benefits

• 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