Senior AI Infrastructure Engineer - DGX Cloud

Senior AI Infrastructure Engineer – DGX Cloud

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
5+ years of experience.
A kind team player who is adaptable in a highly dynamic and changing environment.
A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.
Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.
Experience in one or more of the following: Python, Go, Typescript, C/C++, Java
In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Design, build, deploy, and run internal tooling built on top of cloud infrastructure.
Design, implement, ship, and maintain essential data pipelines, data lake, and reporting that will be used by executive leadership to decide on business priorities.
Integrate tooling with internal and customer workflows along with cloud service providers to streamline incident, change, and problem management processes.
Reduce the toil of running an incident, maintenance, through software automation and AI/ML solutions.

Experience building and integrating with incident tooling such as FireHydrant, Rootly, incident.io, blameless.
Experience building plugins, templates, and entity schemas in Backstage.
Background with infrastructure technologies such as Kubernetes, terraform, docker, helm charts and durable execution systems such as temporal.
Background with basic ML and data science concepts and tooling such as Hive, Apache Beam, Apache Spark, Pytorch, etc.
Experience with business analytics tooling such as Looker, Tableau, PowerBI.