Staff Software Engineer, Privacy & Data Security

Vanta · Enterprise · London, United Kingdom · Software Engineering

Staff Software Engineer, Privacy & Data Security at Vanta, a company focused on helping businesses earn and prove trust through continuous security monitoring and verification. The role involves identifying and leading strategic technical initiatives, designing and developing new product functionality and infrastructure, and contributing to engineering excellence and culture. This is an early engineering hire on a growing team based in London, focused on privacy features and accelerating product development.

What you'd actually do

  1. Identify, scope, and lead large technical projects, laying the groundwork for core products to evolve and scale into highly performant, reliable, and customizable systems
  2. Design, develop, and own new product functionality and/or infrastructure leveraging modern frameworks and tooling (TypeScript, React, Node.js)
  3. Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation
  4. Assist in interviewing, hiring, and onboarding new engineering teammates in the United Kingdom and/or Ireland.
  5. Act as a cultural beacon, setting an example for effective, collaborative engineering and helping mentor junior team members

Skills

Required

  • At least 10 years of industry experience as a software engineer
  • Served as a technical lead for large projects (6+ months in length), including defining the roadmap for complex projects spanning multiple teams and functions
  • Built successful SaaS products for both startup and enterprise users
  • Have previous startup experience, or worked in an environment that prioritizes a bias for action
  • Upleveled teams of engineers by mentoring and leading by example
  • Experience working at rapidly scaling startups and large companies, especially with environments that prioritise a bias for action

Nice to have

  • Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

What the JD emphasized

  • Privacy & Data Security
  • Privacy features
  • Privacy
  • Data Security