Home based - Worldwide•Home Based - Worldwide
Remote
Mid Level
Full Time
MLOpsField EngineerAI/MLKubernetesUbuntuOpen SourceCloudPython
Requirements
- •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
- •Experience in data engineering, MLOps, or big data solutions deployment
- •Experience with a relevant programming language, like Python, R, or Rust
- •Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- •Track record of going above-and-beyond expectations to achieve outstanding results
- •Demonstrated personal interest in continuous learning and development
- •Practical knowledge of Linux, virtualization, containers and networking
- •Business-minded technology thinker and problem solver
- •Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
- •Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
- •Intermediate level Python programming skills
- •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
- •A dynamic person who loves to jump in new projects and interact with people
- •Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
- •Thoughtfulness and self-motivation
- •Result-oriented, with a personal drive to follow up and meet commitments
- •Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings
What You'll Do
- •Work across the entire Linux stack, from kernel, networking, storage, to applications
- •Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark
- •Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
- •Collect customer business requirements and advise them on Ubuntu and relevant open source applications
- •Grow a healthy, collaborative engineering culture in line with the company values
- •Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
- •Liaise with product teams to give them feedback on requirements to influence roadmap
- •Work collaboratively with your sales team to reach our common targets
- •Global travel up to 30% of time for internal, external events and customer meetings
Benefits
- •Distributed work environment with twice-yearly team sprints in person
- •Personal learning and development budget of USD 2,000 per year
- •Annual compensation review
- •Recognition rewards
- •Annual holiday leave
- •Maternity and paternity leave
- •Team Member Assistance Program & Wellness Platform
- •Opportunity to travel to new locations to meet colleagues
- •Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical, the publisher of Ubuntu, delivers trusted open source for everyone and provides security, support and services to enterprises.
London, UK
1000 - 5000
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