Jobs at Canonical

What you'll do

• Develop system daemons with REST APIs in Golang
• Integrate diverse bootloaders and maintain gadget snaps
• Collaborate proactively with a distributed team
• Write high quality code with unit tests to create new features
• Debug issues and produce high quality fixes
• Review code produced by other engineers
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel 2 to 4 times a year for internal and external events

Who you are

• You love technology and working with brilliant people
• You are curious, flexible, articulate, and accountable
• You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• You have experience with Golang, C/C++, and Shell
• You have a solid understanding of Linux and a modern GNU/Linux distribution, Debian or Ubuntu preferred
• You have experience or interest in low-level system and security facilities such as:
  • Bootloaders in ARM and X86, such as piboot, uboot, grub-uefi
  • Systemd and units, udev, initrd, graphics
  • OS level firmware daemons and CLI applications
  • Linux security implementations - TPM, FDE, LUKS, HSM, etc.
• You have experience with API design and development - REST/gRPC or similar
• You have personal or professional experience with Linux-capable devices such as Raspberry Pi

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What your day will look like

• Utilize advanced data analytics to understand how we hire and how we work (productivity, happiness and effectiveness) across a global, remote first organisation
• Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
• Tell the story from the insights through dashboards, visualizations and presentations
• Design and conduct research into trends shaping talent science and remote work
• Collaborate with stakeholder teams (ex., engineering, information systems, etc) to improve the data and tool ecosystem supporting our digital workplace

What we are looking for in you

• Background in data science, mathematics, actuarial science, or engineering
• First work experience in People Analytics is an asset
• Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc)
• Strength in data analytics and visualization (Looker Studio, Tableau, etc)
• Ability to translate business questions to key research objectives
• Ability to identify the best methodology to execute research, synthesize and analyse findings
• Excellent writing and communication skills
• Willingness to examine the status quo and resilient in the face of challenges