Scale AI Staff Software Engineer to architect and implement multi-cloud systems for Scale's Generative AI Platform. Responsible for building custom integrations and collaborating with product teams to scale infrastructure across cloud providers.
Responsibilities
Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs.
Deliver experiments at a high velocity and level of quality to engage our customers
Work across the entire product lifecycle from conceptualization through production
Be able, and willing, to multi-task and learn new technologies quickly
Qualification
Experience with Kubernetes
Required
4+ years of full-time engineering experience, post-graduation
Experience scaling products at hyper growth startups
Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
Proficient in Python or Javascript/Typescript, and SQL
Experience with Kubernetes
Experience with major cloud providers (AWS, Azure, GCP)
Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Preferred
Experience tinkering with or productizing LLMs
Experience with vector databases and latest AI technologies
