MLOps Field Engineer

Навыки

• AWS
• Azure
• Big Data
• Google Cloud
• Kubernetes
• Linux
• Machine Learning

О компании и продукте

• Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
• Canonical is an equal opportunity employer
• We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Задачи

• 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

Требования

• They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project
• They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code
• Work across the entire Linux stack, from kernel, networking, storage, to applications
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark
• 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

Условия

• Location : Most of our colleagues work from home
• What we offer colleagues
• We consider geographical location, experience, and performance in shaping compensation worldwide
• We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance
• In addition to base pay, we offer a performance-driven annual bonus or commission
• We provide all team members with additional benefits which reflect our values and ideals
• We balance our programs to meet local needs and ensure fairness globally
• 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
• 40 days annual leave per annum, including public holidays and our All Company holiday periods
• 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

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