Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Навыки

• Airflow
• AWS
• Azure
• ClickHouse
• Data Governance
• dbt
• Распределённые системы

О компании и продукте

• Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
• Canonical is an equal opportunity employer
• We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Задачи

• 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
• 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

Требования

• 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
• Master distributed systems concepts such as observability, identity, tracing
• 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
• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
• Hands-on experience with machine learning libraries, or tools
• 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

Будет плюсом

• 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

Условия

• What we offer colleagues
• We consider geographical location, experience, and performance in shaping compensation worldwide
• We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance
• In addition to base pay, we offer a performance-driven annual bonus or commission
• We provide all team members with additional benefits, which reflect our values and ideals
• We balance our programs to meet local needs and ensure fairness globally
• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

Паспорт вакансии

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