Software Engineer, Platform

Scale AI•San Francisco, CA

7d•$180,000 - $225,000•Onsite

About The Position

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining 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.

Requirements

3+ years of full-time engineering experience, post-graduation with specialities in back-end 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 containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
Experience with orchestration platforms, such as Temporal and AWS Step Functions.
Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice To Haves

Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
Experience scaling products at hyper-growth startups.
Excitement to work with AI technologies.

Responsibilities

Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
Collaborating with cross-functional teams to define, design, and deliver new features.
Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.