Base Salary
$216k - $270k/yr
Responsibilities
- Design, develop, test, and support full-stack applications on cloud-native distributed systems.
- Build internal tools and applications, as well as tools for external customers and partners, with an approximately 60% backend and 40% frontend focus.
- Develop real-time integrations with SaaS platforms across the organization.
- Create quality frameworks and unit tests for product quality, performance, and load testing, and debug system issues.
- Build applications, Slackbots, dashboards, and automated workflows using internal and external models and platforms.
- Collaborate with the IAM team on Okta-based cloud identity and access controls for internal applications.
- Identify corporate technology service improvements and implement cross-functional self-service solutions.
- Participate in engineering council activities, conduct code reviews, and improve delivery processes.
Requirements
- At least five years of related experience with a bachelor’s degree, or equivalent work experience.
- Proficiency with React or Angular, HTML, CSS, and TypeScript.
- Proficiency with backend API development, databases, privacy permissions, Go, Python, PostgreSQL, and GraphQL.
- Experience with end-to-end testing and documentation.
- Experience developing secure, scalable, and resilient cloud applications handling sensitive data.
- Experience with AWS, Azure, GCP, Docker, or Kubernetes.
- Familiarity with SOC 2, ISO 27001, FedRAMP, and NIST compliance frameworks.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits.
- Learning and development stipend.
- Generous paid time off.
- Potential commuter stipend.
- Equity-based compensation may be available for eligible roles.
- Full-time position based in San Francisco.
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.