This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
As a Data Engine Software Engineer, You will participate in developing Engine, a fully managed Serverless platform tailored for AI pipelines. You will write operators, controllers, and schedulers that integrate to other platforms and services all running on a Kubernetes environment.
the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, takes the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless who leverage their skills & experiences to make a real market impact.
wizardry level Golang proficiency, Golang is your goto programming language
deep familiarity with Kubernetes architecture and APIs/Clients.
designed, wrote and troubleshot Kubernetes operators and/or admission controllers in the past
Strong familiarity with serverless-related frameworks like Knative, and Kserve is a big plus
solid familiarity with building observability stacks and metrics-based scheduling
Experience in designing and developing high-scale systems.
Knowledge of AI and big data pipelines and models development – advantage
familiarity with Kafka – advantage
familiarity with storage products and CSI is a plus-advantage
