Senior Software Engineer - Internal Tools & Productivity

Scale

San Francisco, CA, United States
Base: $216,000 - $270,000 usd; equity: included su...
On-site
Full stack engineering with react or angular
Backend development using go, python, postgresql, graphql
Cloud-native distributed systems architecture
The role focuses on designing and operating secure, scalable infrastructure to empower employees through automation across identity and endpoint management

Job Summary

  • The role focuses on designing and operating secure, scalable infrastructure to empower employees through automation across identity and endpoint management.
  • Candidates will work as full-stack engineers to build internal tools and applications while ensuring product quality through rigorous testing frameworks.
  • Scale AI offers a competitive compensation package including base salary, equity, comprehensive health benefits, and a learning stipend.

Matching Summary

The role focuses on designing and operating secure, scalable infrastructure to empower employees through automation across identity and endpoint management.

Salary

Base: $216,000 - $270,000 USD; Equity: Included subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, PTO, and learning stipend

Skills & Requirements

Must-have

  • Full stack engineering with React or Angular
  • Backend development using Go, Python, PostgreSQL, GraphQL
  • Cloud-native distributed systems architecture
  • Real-time SaaS platform integrations
  • Identity and access management (Okta) experience
  • Security compliance frameworks (SOC 2, ISO 27001)

Nice-to-have

  • Experience building Slackbots and dashboards
  • Cross-functional collaboration in fast-moving teams
  • Knowledge of FedRAMP and NIST standards
  • Ability to debug complex system issues

Key Requirements

  • 5+ years of related software engineering experience
  • Bachelor's degree or equivalent work experience
  • Proficiency in UI frameworks like React, Angular, TypeScript
  • Experience with cloud technologies such as AWS, Azure, GCP, Docker, Kubernetes

Work Rights

Not specified

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