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Job

Cloud Field Engineer - Americas - Remote - Entry Level

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Canonical

Oct 1

💼 Graduate Job
💻 Remote

AI generated summary

  • The ideal candidate for this entry-level Cloud Field Engineer position at Canonical should have experience in AI/ML and MLOps, strong knowledge of Linux, virtualization, containers, and networking, familiarity with cloud computing concepts and technologies (including Kubernetes, OpenStack, AWS, GCP, Azure, Ceph), intermediate Python programming skills, excellent communication/presentation skills, a drive for continual learning, organizational skills, and a degree in Computer Science or related field. Fluency in English is required, with Spanish/French being a bonus. This role offers the opportunity to gain knowledge in Linux Ubuntu, Kubernetes/OpenStack infrastructure, ML/AI platforms, open-source applications, as well as hands-on exposure to emerging technologies and customer interaction.
  • The candidate will work remotely as a Cloud Field Engineer, collaborating with colleagues to design and deploy cloud solutions, architect infrastructure solutions, and cultivate a collaborative engineering culture for external customers. They will also have the opportunity to engage in global travel for events.

Graduate Job

Software Engineering

Description

  • 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.
  • The people who love this role are developers who like to solve customer problems through architecture, presentations and training.

Requirements

  • 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
  • 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

Area of Responsibilities

Software Engineering

Responsibilities

  • 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

Details

Work type

Full time

Work mode

remote

Benefits

  • 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