Job details
About Canonical
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.Company Culture
The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing.Job Description
We are hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related analytics, machine learning, and data technologies.Role Overview
The ideal candidate for this role is a software engineer who enjoys customer conversations and solving customer problems during the pre-sales cycle. They are developers who like to solve customer problems through architecture, presentations, and training. This role offers a fantastic opportunity to learn about the open-source technology landscape and develop business technology insights.Responsibilities
- 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 the roadmap
- Work collaboratively with your sales team to reach our common targets
- Global travel up to 25% of the time for internal and external events and 25% to customer meetings
Location
Most of our colleagues work from home. We are growing teams in EMEA, Americas, and APAC time zones, so can accommodate candidates from almost any country.Technical Skills
The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. 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.Challenges
Interested in solving the most difficult problems in modern data architectures like training LLMs on multiple K8s clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams, processing 10M events in real-time for financial transactions, or object detection on 10k parallel 4K video streams? These are the problems we solve day-to-day. #J-18808-LjbffrApply safely
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Hiring company
Canonical
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