Base Salary
$180k - $225k/yr
Responsibilities
- Design and implement foundational platforms and systems used across Scale.
- Design data platforms and lifecycle systems and architect core cloud infrastructure and orchestration platforms.
- Improve how engineers develop, build, test, and deploy software.
- Work with stakeholders, internal customers, and cross-functional teams to define requirements and deliver features.
- Identify and drive improvements to programming practices, processes, and engineering tools.
- Present technical information and provide guidance on development processes and technologies.
Requirements
- At least 3 years of full-time engineering experience after graduation, specializing in backend systems.
- Extensive software development experience and deep understanding of distributed systems and public cloud platforms, preferably AWS.
- A track record of independently owning successful engineering projects.
- Strong communication and collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Fluency with containerization and deployment technologies such as Kubernetes, Terraform, and Docker.
- Experience with orchestration platforms such as Temporal and AWS Step Functions.
- Experience with NoSQL document databases such as MongoDB and structured databases such as Postgres.
- Strong knowledge of software engineering best practices and CI/CD tooling such as CircleCI.
- Preferred experience with Snowflake, Firebolt, Dagster, dbt, Zanzibar, and authorization systems.
- Preferred experience scaling products at hyper-growth startups and an interest in AI technologies.
Benefits
- Base salary of $180,000–$225,000 for the San Francisco location, plus potential equity and other benefits.
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend.
- Full-time role based in San Francisco; the posting does not specify a remote or hybrid arrangement.
Tech Stack
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We 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. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.