Python and Kubernetes Software Engineer - Data, Workflows, AI ML Analytics
CanonicalRemote
Full Time
Posted September 18, 2025
Not Specified
Remote
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Application opens on company website
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 a distributed team to deliver innovative open source software for enterprise and community use.
Key Responsibilities
- Develop and maintain data analytics, MLOps, and open-source solutions on cloud and local environments
- Design, build, and deploy solutions on public/private clouds and Kubernetes
- Collaborate with distributed teams of engineers, designers, and product managers
- Debug issues and engage with upstream and community forums
- Gain and apply knowledge of Linux stack, distributed systems, and open-source applications
- Work with workflow orchestration tools, data governance, visualization, and data warehouse solutions
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 an 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
- Excellent interpersonal skills, curiosity, flexibility, and accountability
- Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
- Thoughtfulness and self-motivation
- Result-oriented, with a personal drive to meet commitments
- Ability 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
Recognition rewards
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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