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

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

Canonical is a leading provider of open source software and operating systems.

We hire around the world, with most roles remote or distributed across time zones.

This initiative spans many teams that are home-based and in multiple time zones.

Successful candidates will join a team where most members and your manager are broadly in the same time zone to enable collaboration.

Responsibilities

Develop understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer

Design, build and maintain solutions deployed on public/private clouds and local workstations

Master distributed systems concepts such as observability, identity, and tracing

Work with 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 ideas and collaborate on finding sound solutions

What we are looking for in you

Professional or academic software delivery using Python

Strong academic track record from high school and university

Undergraduate degree in a technical subject or a compelling alternative narrative

Confidence to speak up, exchange feedback, and share ideas respectfully

Proven track record of going above-and-beyond to achieve outstanding results

Passion for technology evidenced by personal projects and initiatives

Work ethic and confidence to collaborate with motivated colleagues

Professional written and spoken English with excellent presentation skills

Experience with Linux (Debian/Ubuntu preferred)

Excellent interpersonal skills, curiosity, flexibility, and accountability

Appreciation of diversity and ability to work in a multi-cultural environment

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

Proven track record of building automated ML solutions, data pipelines, or orchestrating cloud workflows

Hands-on experience with ML libraries or tools

Experience with container technologies (Docker, LXD, Kubernetes)

Experience with public clouds (AWS, Azure, Google Cloud)

Working knowledge of cloud computing

Passionate about software quality and testing

Experience contributing to open source projects

What we offer

Distributed work environment with twice-yearly in-person team sprints

Personal learning and development budget of USD 2,000 per year

Annual compensation review and performance-driven rewards

Comprehensive benefits reflecting company values

Annual holiday leave and parental leave

Employee Assistance Programme and opportunities to travel to meet colleagues

Travel upgrades for long-haul company events

About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source.

As the publisher of Ubuntu, we are engaging in AI, IoT and cloud initiatives.

We recruit globally and uphold high standards for new hires.

Most colleagues have worked from home since 2004.

Working here challenges you to think differently, work smarter, and learn new skills.

Equal Opportunity Canonical is an equal opportunity employer.

We foster a workplace free from discrimination.

Diversity of experience and background is valued, and all qualified applicants will receive fair consideration.

Job Details

Seniority level: Entry level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development

Note: Referrals may increase your chances of interviewing.

This posting may reflect roles in Salamanca, Castilla and Leon, Spain.

#J-18808-Ljbffr