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Distributed Systems Software Engineer, Python/Go

Distributed Systems Software Engineer, Python/Go
Canonical
remote
9 months 4 weeks ago

About the Job

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications. Quality engineering is seen as a first class engineering practice, and 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 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.

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

Skills and Qualifications

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, networking technologies and fundamentals, Linux system architecture, capacity for complex abstract thinking, and the ability to travel internationally

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

  • Geographically shaped compensation
  • Performance-driven annual bonus
  • Personal learning and development budget
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Maternity and paternity leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues
  • Priority Pass for travel and travel upgrades for long haul company events

Work Environment

Distributed work environment with twice-yearly team sprints in person. Canonical believes in a diverse workforce and is committed to ensuring equal employment opportunities to all qualified individuals without regard to various factors.

Expertise level

Work arrangement

Key skills

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