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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 Position

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 considered a first-class engineering practice at Canonical, and the Distributed Systems testing team is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, and Kubernetes. As a software engineer, you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting, as well as contribute to initiatives such as expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results.

Role Overview

  • Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
  • 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

What We Offer

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus, personal learning and development budget, recognition rewards, annual holiday leave, maternity and paternity leave, employee assistance programme, and the opportunity to travel to new locations to meet colleagues from your team and others. Canonical believes in equal employment opportunities to all qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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