Jobs at Canonical

• As a software engineer on the team, you'll be contributing to the development of Juju, a large open-source Go project that powers complex distributed software systems across the world.
• Juju is the engine behind model-driven operations, providing a means to operate complex software on public cloud, private cloud, Kubernetes, and bare-metal. Combined with the Ops framework, Juju provides a complete solution for applications and infrastructure management.
• Many internal and external teams depend on Juju to deliver their products and services - from Canonical Managed Solutions, our OpenStack and cloud delivery teams, to Fortune 500 companies.

Location: This is a Globally remote role.
What your day will look like

• Contribute to the design, delivery, and support of features in a highly concurrent, highly distributed system that drives cloud automation and software operations at scale.
• Collaborate proactively with a distributed team
• Debug issues and interact with upstream communities publicly
• Work with helpful and talented engineers including experts in many fields
• Discuss ideas and collaborate on finding good solutions
• Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

• Experience developing software using Go.
• Excellent communication skills in the English language, both verbal and written, especially in online environments
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience developing highly concurrent distributed systems
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Solid networking background and experience
• Experience with agile software development methodologies
• Experience in the Linux and open-source software world
• Experience with configuration management software (Ansible, Chef, Puppet, et al.)
• Working knowledge of cloud computing
• Experience with software packaging (Debian, snaps)
• Programming with, and operating, SQL and NoSQL databases
• Experience working on a distributed team on an open source project -- even if that is community open source contributions.
• Demonstrated track record of Open Source contributions
• Prior experience developing plugins for Terraform

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• The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.
• As a software engineer on the team, you'll collaborate on an end-to-end data analytics and mlops solution composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on workflow, ETL, data governance and visualization tools like Apache SuperSet, dbt, and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. Your team will own a solution from the analytics and machine learning space, and integrate with the solutions from other teams to build the world's best end-to-end data platform. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
• We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
• Location: This initiative spans many teams that are home-based in EMEA, Americas and APAC time zones, so we can accommodate candidates in almost any location. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hourse! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python or Golang
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long

Additional Skills That Would Be Nice To Have
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

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• As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.
• You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.
• You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
• We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
• Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.

Location: This is a Globally remote role.
What your day will look like

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes in order to help it achieve its objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with a vibrant community
• Review code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow your direct reports, helping them achieve their professional goals
• Work from home with global travel for 2 to 4 weeks per year for internal and external events

What we are looking for in you

• A proven track record of professional experience of software delivery
• Professional python development experience, preferably with a track record in open source
• A proven understanding of the machine learning space, its challenges and opportunities to improve
• Experience designing and implementing MLOps solutions
• An exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Additional skills that you might also bring
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Hands-on experience with machine learning libraries, or tools.
• Proven track record of building highly automated machine learning solutions for the cloud.
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project -- even if that is community open source contributions.
• Demonstrated track record of Open Source contributions

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• 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.

Location: This role will be based remotely in the EMEA region.
What your day will look like

• Work across the entire Linux stack, from kernel, networking, storage, to applications
• Work in Python to design and deliver open source code
• Architect cloud infrastructure solutions like OpenStack, Kubernetes, Ceph, Hadoop and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud)
• Coach and develop your colleagues where you have insights
• 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 we are looking for in you

• University degree in Computer Science or related software engineering expertise
• You have sound knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc.
• You have practical knowledge of Linux and networking
• You have Intermediate to Advanced 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)
• You have great organisational skills and follow-up reliably on commitments
• (Optional) You speak a second language - French, German, Italian, Arabic or Spanish

What you'll learn

• OpenStack and Kubernetes infrastructure
• Linux Ubuntu and networking knowledge
• 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