At a Glance
- Tasks: Build and optimise data analytics solutions using Python and Kubernetes.
- Company: Join Canonical, a leader in open-source technology.
- Benefits: Flexible remote work, personal learning budget, and annual pay reviews.
- Other info: Enjoy a collaborative environment with team sprints twice a year.
- Why this job: Make an impact in AI/ML while working with cutting-edge tools.
- Qualifications: Strong Python skills and experience with Kubernetes required.
The predicted salary is between 81000 - 99000 $ per year.
Canonical is seeking Python and Kubernetes Specialist Engineers focused on Data, AI/ML, and Analytics Solutions.
You'll collaborate on end-to-end data analytics solutions using open-source tools like Kubeflow and MLFlow.
The role is remote, allowing for flexibility in your work hours, and requires a strong background in software engineering, especially using Python.
We offer a distributed work environment with twice-yearly team sprints and generous benefits including a personal learning budget and annual compensation reviews.
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Python & Kubernetes Data Platform Engineer in Canberra employer: Canonical
Canonical is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow their careers. As a Software Engineering Manager in the vibrant tech hub of London, you will lead a talented team dedicated to delivering cutting-edge solutions for global OEMs, while enjoying opportunities for professional development and collaboration with industry leaders. With a commitment to diversity and equal opportunity, Canonical ensures that every team member's contributions are valued and recognised.
