Cloud Infrastructure Architect
Há 1 mês
Cloud Consultant Job Description
As a Cloud Consultant at Canonical, you will play a key role in helping our biggest partners understand and embrace our open source platform. You will work closely with our worldwide field engineering team to apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps, and associated technologies. You will also help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications.
About the Role
This is a home-based role, and we are hiring worldwide. As a Cloud Consultant, you will be responsible for understanding Ubuntu, Linux, networking, and services in real-world environments. You will also architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark, either on-premises or in public cloud.
Responsibilities
Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra, and NGINX. Help partners to offer and architect joint solutions utilizing Canonical's technologies on top of the public clouds and in the data center. Design and publish joint Reference Architectures and perform technical validations with various partners. Prepare and run onboarding sessions/workshops with various partners' teams to promote Canonical products and solutions.
Requirements
Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation. Experience designing and implementing solutions on top of public or private clouds. Python and bash understanding, troubleshooting skills. Fluent written and spoken English. Excellent communication and presentation skills. High motivation, ability to multi-task and follow-up reliably on commitments. Interest in customer-facing engagement, including pitching, demonstrating, and understanding customer environment and needs. Interest in new technologies like LXD, Juju, and Snaps. Ability to travel globally up to 30% of the time. Degree in Computer Science, Mathematics, Physics, or related technical field experience.
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