We are seeking a Senior Software Engineer to join our growing Innovative DataEngine team!
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 our 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.
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 our 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.
Requirements:
wizardry level Golang proficiency, Golang is your go-to 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, an advantage.
wizardry level Golang proficiency, Golang is your go-to 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, an advantage.
This position is open to all candidates.
