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

What Your Day Will Look Like

• Deepen your understanding of the entire Linux stack—from kernel, networking, and storage to user applications.
• Design, build, and maintain solutions for deployment across public/private clouds and local environments.
• Master distributed systems concepts including observability, identity, and tracing.
• Work hands-on with both Kubernetes and machine-oriented open source applications.
• Collaborate with a globally distributed team of engineers, designers, and product managers.
• Debug technical issues and engage with upstream and Ubuntu open source communities.
• Contribute ideas, participate in design discussions, and collaborate to deliver robust solutions.

What We Are Looking for in You

• Professional or academic experience delivering software in Python.
• A strong academic track record in high school and university.
• A degree in Computer Science, Engineering, or related technical discipline—or a compelling alternative story of your career journey.
• Ability to speak up respectfully, share feedback, and contribute ideas with confidence.
• Demonstrated ability to go above and beyond in delivering exceptional results.
• Passion for technology, with evidence through personal projects or community involvement.
• Strong work ethic and self-motivation to excel in a fast-paced environment.
• Excellent verbal and written communication skills in English.
• Hands-on experience with Linux (preferably Ubuntu or Debian).
• Outstanding interpersonal skills, with curiosity and a global, inclusive mindset.
• A detail-oriented, result-driven approach to work.
• Willingness to travel globally twice a year for company events (up to 2 weeks each).

Nice-to-Have Skills

These are not required but will be considered a plus:

• Experience with machine learning libraries or tools.
• Proven track record building automated ML workflows for the cloud.
• Hands-on experience with containers (e.g., Docker, LXD, Kubernetes).
• Familiarity with public cloud platforms (AWS, Azure, GCP).
• Understanding of cloud computing concepts.
• Passion for software testing and quality assurance.
• Contributions to open source projects or communities.