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

Canonical Group - Raleigh, NC

Full-time - Entry Level

Remote - Raleigh, NC

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. The position is remote, accommodating candidates from various global locations, and emphasizes distributed collaboration among team members.

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 good solutions.

Requirements

• 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 an 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.
• 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 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.