Senior Software Engineer - Agentic Tooling & Productivity
About the role
Senior Software Engineer to design, build, and operate secure, scalable infrastructure for internal tools, automation, and SaaS stack, focusing on IAM, endpoint management, and productivity tooling to elevate G&A velocity.
Responsibilities
- As a full stack engineer (60% BE / 40% FE), build tools/applications for internal use and external customers/partners
- Design, develop, test, and support full-stack applications on cloud-native distributed systems
- Build real-time integrations with SaaS platforms across the organization
- Develop a quality framework and unit tests to ensure product quality, performance, and scalability, and debug system issues
- Collaborate with broader teams, participate in engineering council, conduct code reviews, and improve delivery processes
- Collaborate with the IAM team to manage cloud-based identity (Okta) and access controls, ensuring security policy compliance for internal apps
- Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions
Qualifications
- 5+ years of related experience with a Bachelor’s degree; or equivalent work experience
- Proficiency with UI frameworks such as React or Angular and HTML, CSS, TypeScript, etc
- Proficiency with backend technologies, including API development, databases, and privacy permissions (e.g., Go, Python, PostgreSQL, GraphQL)
- Experience with end-to-end testing and documentation
- Experience developing secure, scalable, and resilient applications on the cloud handling sensitive data
- Experience with cloud technologies (AWS, Azure, GCP), Docker, or Kubernetes
- Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST
Skills
Benefits
- comprehensive health, dental and vision coverage
- retirement benefits
- learning and development stipend
- generous PTO
- commuter stipend (may be eligible)

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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