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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.
Job Responsibility:
Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements
Directly manage or mentor small teams of software engineers ranging from new grads to experienced engineers
Collaborate with cross-functional teams to define, design, and deliver new features
Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages
Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies
Requirements:
8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems
Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
Show a track record of independent ownership of successful engineering projects
Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
Experience with modern web frameworks like NodeJS, NextJS, etc.
Experience with modern build systems like Bazel, Buck, Pants, etc.
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD)
Nice to have:
Experience scaling products at hyper-growth startups
Experience with AI development tools or excitement to work with AI technologies