Data AI/ML Platform Engineer (Python + Kubernetes)

Canonical; Remote; SAR 200,000 - 300,000; Full time

Job summary

A leading global open source technology firm is seeking Python and Kubernetes Specialist Engineers to develop open source solutions focusing on data, AI/ML, and analytics. Join a distributed team collaborating globally to build and maintain cutting-edge solutions for public and private clouds. Ideal candidates will have excellent Python skills, experience with Linux, and a passion for technology. This role includes tailored benefits and opportunities for annual compensation reviews and personal learning budgets.

Benefits

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel to new locations

Qualifications

• Exceptional academic track record from both high school and university.
• Passion for technology evidenced by personal projects and initiatives.
• Ability to travel twice a year, for company events up to two weeks long.

Responsibilities

• Develop your understanding of the entire Linux stack.
• Design, build and maintain solutions deployed on public and private clouds.
• Collaborate proactively with a distributed team of engineers.

Skills

Software delivery using Python

Professional written and spoken English

Experience with Linux (Debian or Ubuntu preferred)

Excellent interpersonal skills

Hands-on experience with machine learning libraries

Education

Undergraduate degree in a technical subject

Tools

Docker

Kubernetes

AWS

Azure

Google Cloud

Job description

A leading global open source technology firm is seeking Python and Kubernetes Specialist Engineers to develop open source solutions focusing on data, AI/ML, and analytics. Join a distributed team collaborating globally to build and maintain cutting-edge solutions for public and private clouds. Ideal candidates will have excellent Python skills, experience with Linux, and a passion for technology. This role includes tailored benefits and opportunities for annual compensation reviews and personal learning budgets.