Lead, coach, and develop a high-performing team of software and quality engineers, ranging from graduate to senior level
Set clear expectations, strengthen engineering practices, and ensure timely delivery against agreed goals
Partner with senior engineers to shape technical strategy, architecture, roadmap, and engineering standards
Guide the development of automated testing infrastructure for the reliability, interoperability, and resilience of distributed systems
Improve CI pipelines, testing tools, and reporting used to validate Canonical's products and solutions across bare-metal, private and public cloud environments
Enable engineering teams across Canonical to adopt effective distributed-systems testing practices and tooling
Contribute technical leadership through design and code reviews, debugging, and hands-on engineering where appropriate
Represent the team with stakeholders and collaborate across Canonical on quality engineering, infrastructure, and developer experience
What we're looking for in you
An exceptional academic track record from both high school and university
Experience in leading, coaching, and mentoring software engineers
Professional software engineering experience with Python or Go
Expertise in distributed systems, cloud infrastructure, quality engineering, or a closely related domain
Strong knowledge of modern software testing processes, strategies, and automation
Experience with Linux (Debian or Ubuntu preferred)
Strong technical judgement and the ability to engage meaningfully in code reviews, architecture discussions, and software design
Experience working in an agile development environment with the ability to organize a team to deliver high-quality results
Professional written and spoken English with excellent communication and presentation skills
Great interpersonal skills, curiosity, flexibility, and accountability, demonstrating passion, thoughtfulness, and self-motivation
Ability to travel twice a year, for company events up to two weeks each
Additional skills we value
Experience with any of the following:
Cloud technologies such as Kubernetes, OpenStack, Juju, Terraform, AWS, Google Cloud, or Azure
Designing testing strategies for distributed or cloud-native systems
Building or operating large-scale CI/CD and test infrastructure
Applying AI or machine learning to test analysis, failure classification, or engineering workflows
Deploying, operating, or debugging distributed systems