Canonical Group - San Diego, CA
posted 5 days ago
Full-time - Entry Level
Remote - San Diego, CA
501-1,000 employees
Professional, Scientific, and Technical Services
About the position
Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions. The role involves collaborating on end-to-end data analytics and MLOps solutions using popular open-source machine learning tools. Engineers will design, build, and maintain solutions deployed on public and private clouds, contributing to the development of a comprehensive data platform that integrates with various solutions across teams.
Responsibilities
- Develop understanding of the entire Linux stack, from kernel to application layer.
- Design, build, and maintain solutions for public and 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 with upstream and Ubuntu communities.
- Generate and discuss ideas, collaborating on finding effective solutions.
Requirements
- Professional or academic software delivery experience using Python or Golang.
- Exceptional academic track record from high school and university.
- Undergraduate degree in a technical subject or a compelling narrative about an alternative path.
- Confidence to speak up, exchange feedback, and share ideas.
- Track record of exceeding expectations to achieve outstanding results.
- Passion for technology evidenced by personal projects and initiatives.
- Strong work ethic and confidence to work 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 and effective in a multi-cultural organization.
- Thoughtfulness and self-motivation.
- Result-oriented with a personal drive to meet commitments.
Nice-to-haves
- 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.
Benefits
- Performance-driven annual bonus or commission.
- 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.
