CoffeeSpace

Software Engineer, Backend ($160K - $200K + Equity) at AI Cybersecurity Startup backed by Google and Atlassian Alumni

San Francisco Bay Area

Навыки

GoPostgreSQLGoogle Cloud Pub/SubGCPDistributed SystemsSystem DesignAI/LLM IntegrationCybersecurity

Обязанности

  • 01Build and maintain backend systems and integrations connecting the platform to over 100 enterprise security tools
  • 02Design and develop core platform components processing large-scale security data including event-driven pipelines using Google Cloud Pub/Sub
  • 03Work on the multi-tenant data layer implementing features like risk scoring, anomaly detection, and time-series aggregation
  • 04Contribute to infrastructure management on GCP including deployment pipelines, monitoring, and observability across a Go and PostgreSQL stack
  • 05Collaborate with a small tight-knit team to ship features weekly, debug production issues, and solve complex problems in cybersecurity
  • 06Own significant platform components from day one and have the option to interact directly with customers
  • 07Ship weekly in a high-agency environment with direct collaboration with co-founders and CTO

Требования

  • 015 to 10 years of backend or fullstack engineering experience
  • 02Strong interest in transitioning to a backend-heavy role if coming from fullstack
  • 03Deep hands-on Go experience with concrete production-grade examples
  • 04Strong programming fundamentals across distributed systems and system design
  • 05Background at an early-stage startup or high-growth environment
  • 06Some exposure to the security space through internship or full-time work
  • 07High-agency, self-directed mindset with ability to solve problems proactively

Условия

  • 01Salary: $160K – $200K + competitive equity
  • 02Location: Redwood City, CA (3 days in-office for candidates under 7 years experience)
  • 03Remote option available for candidates with 7+ years of experience
  • 04No visa sponsorship
  • 05Series A funded startup with $10M+ raised
  • 06Go and PostgreSQL stack on GCP with real AI and LLM integration work
  • 07Hybrid work model with in-office requirement for junior candidates