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# Infrastructure Software Engineer, Enterprise GenAI

- **Company:** Scale Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $179,400.0 - $224,250.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Customer Data Management, Data Warehousing, Distributed Systems, Python (Programming Language), Standard Sql, Software Engineering, TypeScript, Google Cloud, Large Language Models, Kubernetes, Enterprise Integration
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/21_01a0eeff-5809-723d-a196-a408563049b3

## About the Role

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., * 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

## Description

* 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