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đź’Ľ Job

Cloud Field Engineer - Americas (Remote) - Entry Level - Portland

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1mo ago

đź’Ľ Graduate Job


đź’» Remote

AI generated summary

  • The ideal candidate for the Cloud Field Engineer position must have experience in AI/ML and MLOps, practical knowledge of Linux, virtualisation, containers, and networking, as well as sound knowledge of cloud computing concepts and technologies. They should also have intermediate Python programming skills, strong communication and presentation skills, and a drive for continual learning. A university degree in Computer Science or related software engineering expertise is required.
  • As a Cloud Field Engineer for Canonical, the candidate will work on the entire Linux stack, designing and deploying clouds and applications for external customers. They will also architect cloud infrastructure solutions like Kubernetes, OpenStack, and Hadoop either on-premises or in public cloud environments. The candidate will have the opportunity to grow a collaborative engineering culture, learn various technologies, and work directly with customers in different businesses. This role offers hands-on exposure to emerging technologies and tools. Travel up to 25% may be required for internal and external events.

Graduate Job

Software Engineering•Portland


  • Help global companies embrace the latest private cloud infrastructure, Linux and cloud native operations, and open source applications. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Linux Ubuntu, OpenStack, Kubernetes and a wide range of associated technology.
  • This role has very diverse responsibilities. The team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.


  • You have experience in AI/ML and MLOps
  • You have practical knowledge of Linux, virtualisation, containers and networking
  • You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, Kubeflow, OpenStack, AWS, GCP, Azure, Ceph, etc.
  • You have an intermediate level of Python programming skills
  • You are a dynamic person who loves to jump in new projects and interact with people
  • You have a demonstrated drive for continual learning
  • Excellent communication and presentation skills (English, Spanish/French a bonus)
  • You have great organisational skills and follow-up reliably on commitments
  • University degree in Computer Science or related software engineering expertise

Area of Responsibilities

Software Engineering


  • Work across the entire Linux stack, from kernel, networking, storage, to applications
  • Design and deploy clouds and applications for external customers
  • Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud)
  • Grow a healthy, collaborative engineering culture in line with the company values
  • Work from the comfort of your home
  • Global travel up to 25% of time for internal and external events
  • What you’ll learn:
  • Linux Ubuntu and networking knowledge
  • Kubernetes and OpenStack infrastructure
  • Machine Learning and Artificial Intelligence Platforms
  • Wide range of open source applications and skills
  • Work directly with customers in a range of different businesses
  • Real-life and hands-on exposure to a wide range of emerging technologies and tools


Work type

Full time

Work mode





  • Learning and development tuition reimbursement
  • 18 weeks parental leave (USA) 
  • Diversity Resource Groups
  • Work from home
  • Competitive salary
  • Recognition rewards
  • Annual leave
  • Priority Pass for travel