Distributed Systems Software Engineer, Python / Go

As a Distributed Systems Software Engineer at Canonical, your responsibilities will include creating automated testing approaches for cloud orchestration tools, enabling engineering teams to confidently develop software, enhancing CI pipelines for testing cloud-native products, and collaborating with a global team to deploy and manage distributed systems.

To qualify for the Distributed Systems Software Engineer role at Canonical, you should have a solid background in modern testing processes, experience in Python or Go, strong object-oriented development skills, and knowledge of continuous integration tools like Jenkins or GitHub CI. Understanding Linux system architecture and networking fundamentals is essential as well.

As a Distributed Systems Software Engineer at Canonical, you will work with various technologies, including Python, Go, Juju, Terraform, OpenStack, Kubernetes, and cloud services such as AWS. Familiarity with AI/ML concepts for pipeline development may also be beneficial.

Yes! The Distributed Systems Software Engineer position at Canonical is a globally remote role, providing you the flexibility to work from various locations while collaborating with a diverse team around the world.

Canonical offers an array of benefits including a competitive salary, performance-driven annual bonuses, a personal learning and development budget, maternity and paternity leave, and the opportunity to travel to meet colleagues. The company strongly embraces a distributed work environment that promotes a healthy work-life balance.

In answering this question, highlight your systematic approach to understanding system requirements, identifying bottlenecks, and leveraging tools like Python or Go. Discuss your experience with CI/CD pipelines and how they integrate with testing efforts.

Articulate specific projects or tasks where you successfully employed Juju or Terraform. Describe the environments you managed, the challenges encountered, and the impact of your solutions on deployment efficacy.

Provide a specific example where you identified inefficiencies in a CI pipeline. Explain the strategies you implemented to enhance it, including any tools or methodologies you utilized to improve speed or reliability in deployments.

Talk about the importance of automated testing, continuous integration, and monitoring strategies. Share methods you've used to validate performance and resilience under varied conditions.

Explain a specific instance where you diagnosed issues in a distributed system environment. Focus on the tools and techniques used for troubleshooting, and what the outcomes were.

Discuss any professional resources you use, such as conferences, online courses, or communities. Highlight how continuous learning has positively influenced your own projects.

Share your strategies for effective communication and collaboration in managing tasks across different time zones. Emphasize tools used for task management and your approach to ensuring project timelines are met.

Emphasize the role of Linux in cloud environments. Discuss how your understanding of its architecture enables effective development, deployment, and troubleshooting of distributed systems.

Provide a holistic view of a project where you led a team. Discuss the project scope, your leadership style, the technologies employed, and how it led to notable results for your previous employer.

Express enthusiasm for their innovative culture and focus on quality engineering. Talk about how Canonical's values align with your personal and professional goals, and your eagerness to contribute to their vision in cloud solutions.