Python and Kubernetes Software Engineer - Data, Workflows, AI ML Analytics
CanonicalRemote
Full Time
Posted January 20, 2026
Not Specified
Remote
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Job Description
A software engineer specializing in Python and Kubernetes, responsible for developing and maintaining open source data analytics, AI/ML workflows, and cloud infrastructure solutions, collaborating with distributed teams to deliver end-to-end data and machine learning systems.
Key Responsibilities
- Develop and maintain end-to-end data analytics and MLOps solutions using open-source tools like Kubeflow, MLFlow, DVC, and Feast
- Work on ETL processes, data governance, and visualization tools such as Apache SuperSet and dbt
- Design, build, and deploy solutions on public and private clouds, as well as local workstations
- Collaborate with a distributed team of engineers, designers, and product managers
- Debug issues and interact with upstream and community projects
- Develop understanding of the Linux stack and distributed systems concepts
- Work with Kubernetes and machine-oriented open source applications
Requirements
- Professional or academic software delivery experience using Python
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- Track record of going above-and-beyond expectations to achieve outstanding results
- Passion for technology evidenced by personal projects and initiatives
- The work ethic and confidence to shine alongside motivated colleagues
- Professional written and spoken English with excellent presentation skills
- Experience with Linux Debian or Ubuntu preferred
- Ability and willingness to travel twice a year, for company events up to two weeks long
Benefits & Perks
Compensation is based on geographical location, experience, and performance, with annual reviews and recognition rewards
Performance-driven annual bonus or commission
Distributed work environment with in-person team sprints twice a year
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long haul company events
Ready to Apply?
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