Python and Kubernetes Software Engineer - Data, AI​/ML & Analytics. Tacoma LilyLifestyle

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

We are hiring Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions. Join our team to build open‑source solutions for public cloud, private infrastructure, and the global community.

• Collaborate on an end‑to‑end data analytics and MLOps solution using open‑source tools such as Kubeflow, MLFlow, DVC, and Feast.
• Work on workflow, ETL, data governance, and visualization tools (Apache Superset, dbt, Temporal).
• Develop and maintain data warehouse solutions such as Apache Trino and Click House.
• Own and evolve a solution from the analytics and machine‑learning space, integrating with other teams’ solutions.
• Deploy solutions on public and private clouds, local workstations, or Kubernetes clusters.
• Build a deep understanding of the Linux stack – kernel, networking, storage, and application layers.
• Design, build, and maintain scalable, observable, secure, and well‑tested components.
• Collaborate proactively with distributed engineers, designers and product managers.
• Debug issues and engage publicly with upstream and Ubuntu communities.
• Generate ideas and collaborate to find the best technical solutions.

• Professional or academic experience delivering software in Python.
• Exceptional academic record from high school and university.
• Undergraduate degree in a technical subject, or a compelling narrative of an alternative path.
• Confidence to speak up, give and receive feedback, and share ideas without hesitation.
• Track record of exceeding expectations and delivering outstanding results.
• Passion for technology evident through personal projects and initiatives.
• Strong 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 multicultural, multinational environment.
• Self‑motivation and thoughtfulness.
• Result‑oriented with a personal drive to meet commitments.
• Ability to travel twice a year for up to two weeks for company events.

• Hands‑on experience with machine‑learning libraries or tooling.
• Track record of building highly automated ML 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.
• Passion for software quality and testing.
• Experience contributing to an open‑source project.

• Competitive base pay and performance‑driven annual bonus or commission.
• Annual performance reviews and compensation adjustments.
• Personal learning and development budget of USD2,000 per year.
• Annual holiday leave, maternity and paternity leave.
• Employee Assistance Programme and travel upgrade opportunities.
• Distributed work environment with bi‑annual in‑person team sprints.
• Priority Pass and travel upgrades for long‑haul company events.

Canonical is an equal‑opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.