We are seeking a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems.
You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.
Key responsibilities include:
- Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
- Implementing custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
- Collaborating with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
- Delivering experiments at a high velocity and level of quality to engage our customers
Requirements include:
- 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
Compensation packages at Scale for eligible roles include base salary, equity, and benefits.
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