MLOps Field Engineer

Responsibilities

• Architect cloud infrastructure solutions including Kubernetes, Kubeflow, OpenStack, and Spark
• Deliver solutions on-premise or in public clouds such as AWS, Azure, and Google Cloud
• Collect customer business requirements and advise on Ubuntu and open source applications
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to clients
• Develop Kubernetes operators and Linux open source infrastructure-as-code using Python
• Work across the entire Linux stack from kernel to applications
• Collaborate with sales teams to reach commercial targets

Requirements

• Experience in data engineering, MLOps, or big data solutions deployment
• Practical knowledge of Linux, virtualization, containers, and networking
• Intermediate level Python programming skills
• Knowledge of cloud computing concepts and providers (AWS, Azure, GCP, Kubernetes)
• Experience with Linux (Debian or Ubuntu preferred)
• Ability to travel internationally up to 30% of the time
• Undergraduate degree in a technical subject or equivalent experience
• Professional written and spoken English with strong presentation skills

Preferred Qualifications

• Experience with programming languages like R or Rust
• Interest in large-scale enterprise open source, private clouds, and AI/ML

Benefits

• Distributed work environment with twice-yearly in-person team sprints
• Personal learning and development budget of USD 2,000 per year
• 40 days annual leave per annum
• Performance-driven annual bonus or commission
• Maternity and paternity leave
• Team Member Assistance Program and Wellness Platform

About the Company

Canonical is a leading provider of open source software and the publisher of Ubuntu. The company is a pioneer of global distributed collaboration, helping enterprises adopt AI, IoT, and cloud technologies worldwide.