Staff Software Engineer - Backend

AnonSan Francisco, CA
1dOnsite

About The Position

About Anon Anon is building the platform that enables enterprises to deploy authenticated AI agents for their most critical data workflows. We're solving one of the biggest challenges in enterprise automation: accessing and transforming data trapped behind authentication barriers. Our platform allows AI agents to securely connect to any web-based system, extract unstructured data, and deliver it through modern APIs. Since 2023, we've helped industry leaders transform weeks-long manual processes into automated workflows that complete in minutes. We've raised $14M from Union Square Ventures, Forerunner Ventures, Okta Ventures, and Abstract Ventures. Our vision: every business system should be accessible to AI agents. If you're excited about building the infrastructure that will power the next generation of AI applications, join our team of 12 in San Francisco. www.anon.com/careers About the Role As a Staff Backend Engineer at Anon, you'll architect the core infrastructure that enables AI agents to navigate complex authentication systems and extract data at enterprise scale. You'll design distributed systems for parallel agent execution, establish technical standards across our engineering team, and ensure high reliability for mission-critical workflows processing millions of records. This role combines deep technical leadership with hands-on architecture, setting the foundation for how enterprises will interact with their data through AI.

Requirements

  • 5-8+ years of experience
  • Expert proficiency in backend development with modern languages and frameworks (we use TypeScript/Node.js)
  • Strong experience with REST API design
  • Experience with Docker, Cloud, and best practices for web security
  • Experience with data engineering and building scalable data pipelines
  • Experience with CI/CD pipelines and GitHub Actions
  • Strong background in security best practices and secrets management
  • Deep knowledge of databases such as Postgres and Supabase
  • Experience with monitoring, observability, and alerting systems for distributed applications
  • Knowledge of networking protocols (HTTP, TCP, TLS) is a plus

Nice To Haves

  • Experience with data engineering or ETL pipelines
  • Open source contributions
  • Experience with monitoring and observability tools
  • Knowledge of authentication protocols and security best practices

Responsibilities

  • Develop resilient AI agents that navigate web interfaces, handle dynamic content, and extract data from systems without APIs
  • Design systems for parallel agent execution, real-time data processing, and fault-tolerant authentication handling
  • Lead technical design of core platform components including our authentication layer, data extraction engine, and transformation pipelines
  • Establish engineering best practices, design patterns, and technical standards across our team
  • Own end-to-end reliability, performance optimization, and capacity planning for mission-critical enterprise workloads
  • Own infrastructure architecture and DevOps practices including CI/CD pipelines, monitoring/observability systems, and incident response procedures
  • Provide technical mentorship and career guidance through one-on-ones, code reviews, and hands-on collaboration
  • Lead cross-functional technical initiatives
  • Drive engineering best practices and technical standards

Benefits

  • Competitive salary with significant equity in a well-funded startup
  • Comprehensive health, dental, and vision insurance
  • Company-provided workstation setup of your choice
  • Free gym membership at your preferred location
  • In-person work environment and team events in San Francisco (SoMa)
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