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

Canonical

about 1 year ago

Remote, Worldwide

Entry Level / Mid Level

H1B Sponsor

Responsibilities

Develop understanding of the entire Linux stack from kernel to application layer.
Design, build, and maintain solutions for public and private clouds.
Master distributed systems concepts such as observability and tracing.
Work with Kubernetes and machine-oriented open source applications.
Collaborate proactively with a distributed team of engineers and product managers.
Debug issues and interact with upstream and Ubuntu communities.
Generate and discuss ideas, collaborating on finding solutions.

Professional or academic software delivery experience using Python.
Exceptional academic track record from high school and university.
Undergraduate degree in a technical subject or a compelling alternative narrative.
Confidence to exchange feedback and share ideas respectfully.
Track record of exceeding expectations to achieve outstanding results.
Passion for technology evidenced by personal projects.
Professional written and spoken English with excellent presentation skills.
Experience with Linux, preferably Debian or Ubuntu.
Excellent interpersonal skills, curiosity, flexibility, and accountability.
Appreciative of diversity and effective in a multi-cultural organization.
Self-motivated and result-oriented with a personal drive to meet commitments.
Ability to travel twice a year for company events.

Apache SupersetAWSAzureClickHousedbtDockerDVCGoogle CloudKubernetesLinuxMLflowPython