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

What Your Day Will Look Like

• Deepen your expertise in the entire Linux stack, including kernel, networking, storage, and user-space applications.
• Design, develop, and maintain robust, scalable solutions for public clouds, private clouds, and local workstations.
• Learn and apply key distributed systems concepts, such as observability, identity management, and tracing.
• Build and integrate open source technologies, including Kubernetes and machine-oriented platforms.
• Collaborate proactively with distributed teams of engineers, product managers, and designers.
• Debug, triage, and resolve technical issues, engaging with upstream Ubuntu and open source communities.
• Contribute to architectural design, generate ideas, and participate in solution-oriented technical discussions.

What We're Looking For In You

• Experience delivering software professionally or academically using Python.
• Exceptional academic performance throughout high school and university.
• A degree in a technical field, or a compelling alternative story that showcases your technical abilities.
• Confidence to share ideas, offer feedback, and engage in respectful technical debate.
• Evidence of going above-and-beyond expectations in past work or projects.
• Passion for technology, as demonstrated through personal projects, open source contributions, or initiatives.
• High motivation, work ethic, and the drive to succeed alongside a high-performing global team.
• Fluent written and spoken English, with strong communication and presentation skills.
• Experience working with Linux systems (Ubuntu or Debian preferred).
• Excellent interpersonal skills: curiosity, empathy, flexibility, and professionalism.
• Appreciation for diversity and ability to collaborate in multicultural, multinational environments.
• Self-motivated, results-driven, and eager to take initiative.
• Willingness to travel twice per year for global company events.

Bonus Skills That Would Be Nice To Have

While not required, experience in the following areas will be advantageous:

• Building highly automated ML workflows, data pipelines, or orchestrating scalable solutions in the cloud.
• Familiarity with machine learning tools or libraries.
• Experience with container technologies such as Docker, LXD, and Kubernetes.
• Knowledge of public cloud platforms (AWS, Azure, Google Cloud).
• Understanding of cloud infrastructure and modern cloud-native architectures.
• Strong interest or experience in software testing and quality assurance.
• Contributions to open source projects or participation in open source communities.

What We Offer You

• A remote-first, globally distributed team with a track record of remote collaboration since 2004.
• Personal learning and development budget of $2,000 USD per year.
• Annual performance reviews with competitive compensation and recognition for outstanding work.
• Generous holiday and parental leave policies.
• Employee Assistance Program and wellness support resources.
• Opportunities for international travel to meet colleagues and collaborate at global sprints.
• Priority Pass membership and travel upgrades for long-haul company events.