Drimva

Quizlet

Staff Cloud Security Engineer

$200K–$263K

San Francisco, CA · Hybrid · Staff · Full-time · Posted Oct 29, 2026

Experience
As a rough guide, 8+ years working with public-cloud infrastructure, including 5+ years in cloud security engineering; these are guidelines rather than hard cutoffs, and equivalent experience is welcome.

About the job

Sets technical direction and delivers security improvements for Quizlet’s cloud infrastructure and public-facing services, with a focus on GCP, GKE, identity, infrastructure as code, edge defenses, and data-protection controls.

What you'll do

  • Lead cloud and Kubernetes security improvements, operate security tooling, and coordinate vulnerability remediation.
  • Improve edge protections and build security automation, infrastructure-as-code safeguards, and controls for data protection.
  • Guide cross-team security decisions, mentor engineers, and support incident response and security on-call.

What they ask for

  • Experience securing GCP and GKE environments.
  • Hands-on experience securing production cloud infrastructure and Kubernetes workloads, including identity and access, networking, Linux, and containers.
  • Experience with infrastructure as code such as Terraform and programming languages such as Python or Go to build security controls and automation.
  • Ability to translate security requirements into practical controls, automated tests, and evidence of effectiveness; record of leading complex cross-team technical work.

Nice to have

  • Experience designing and tuning WAF rules, rate limits, or bot defenses; experience with Cloudflare and HUMAN/PerimeterX or comparable platforms.
  • Experience operating Wiz or similar cloud security platforms, securing AI or MCP integrations, or automating data-protection and assurance controls.

Pay

$200,479 – $263,129 (base salary)

Tools

Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Terraform, Python, Go, Cloudflare, HUMAN/PerimeterX, Wiz

AI focus

Create self-service patterns for securely connecting AI tools and Model Context Protocol (MCP) integrations to approved data; experience securing AI or MCP integrations is a plus.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)