Censys

Director of Engineering, Web App Platform

Censys

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
AI Apply
Apply

Salary

💰 $224,000 - $275,000 per year

Job Level

Lead

Tech Stack

CloudCyber SecurityDNSGoogle Cloud PlatformSDLC

About the role

  • Lead teams that build and maintain Censys’ platform services (Authentication, Entitlements, RBAC, API, etc.) and web applications built on top of our Internet Map
  • Chart the path for AI integration across the platform, enabling conversational workflows, automated summaries, intelligent recommendations, and predictive insights
  • Drive the creation of a multi-client platform that supports enterprises, MSSPs, and ecosystem integrations with cybersecurity vendors and business applications
  • Lay the foundation for marketplaces, community portals, and collaboration platforms that will grow the Censys ecosystem
  • Partner with Product Management to deliver complete, high-quality solutions that align with business goals
  • Set and uphold a high bar for talent hiring and team development
  • Continually inspect processes and culture, identifying opportunities for improvement
  • Take responsibility for the full lifecycle of technical projects from research and design through development, delivery, and ongoing maintenance
  • Demonstrate a bias towards action, keeping teams iterative, customer-focused, and outcome-driven
  • Ensure the platform is architected for scalability and future extensibility, working closely with Product, UX, and Engineering to deliver innovative, high-quality solutions

Requirements

  • BS, preferably in Computer Science
  • 10+ years experience in software engineering, with leadership across multiple teams
  • Deep understanding of Internet infrastructure (DNS, IP WHOIS, routing, load balancing)
  • Proven success leading teams delivering SaaS applications on cloud infrastructure (GCP preferred)
  • Experience applying AI/ML techniques in both frontend (search, recommendations, workflows) and backend (model tuning, NLP, data-driven automation) contexts
  • Excellent communication skills, with the ability to convey both strategic and technical issues across cross-functional audiences
  • Track record of scaling team productivity through effective delegation and professional development
  • Strong grasp of the SDLC and holding teams accountable to deliver quality customer experiences