Python and Kubernetes Software Engineer - Data, Workflows, AI ML Analytics
CanonicalRemote
Full Time
Posted December 1, 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, and workflow solutions on cloud and local infrastructures, collaborating with a distributed team to deliver innovative open source software for enterprise and community use.
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, visualization tools, and workflow orchestration solutions such as Airflow and Temporal
- Design, build, and deploy solutions on public/private clouds and local workstations, including Kubernetes and server environments
- Collaborate with a distributed team of engineers, designers, and product managers to develop technical solutions
- Debug issues and engage with upstream and community projects to improve and maintain open-source software
- Gain and apply knowledge of the Linux stack, distributed systems, and cloud infrastructure
- Contribute ideas and collaborate on finding effective technical 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 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
- 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
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
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