Perplexity
Member of Technical Staff (Cloud Security Engineer)
🇺🇸San Francisco, California, United States2 days ago
$220K – $405KSeniorFull Time
Perplexity is seeking a highly experienced and hands-on Cloud Security Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. In this role, you’ll lead efforts to build and maintain secure, scalable infrastructure that empowers engineers to innovate quickly and safely.
Partner with infrastructure and engineering teams to embed security into development workflows and promote secure-by-default patterns
Build Terraform modules with built-in security guardrails, such as logging, encryption, and automated threat detection enablement
Deploy cloud-native detection capabilities using AWS GuardDuty, Security Hub, and custom detection rules to identify credential compromise, crypto-mining, and lateral movement
Maintain SOC 2 Type II and ISO 27001 compliance through automated collection of cloud control evidence
Conduct security audits of cloud resource configurations using tools like AWS Config and Open Policy Agent, and remediate deviations from CIS Benchmarks and our internal security policies
Secure CI/CD and supply chain pipelines by implementing controls such as artifact signing, secret scanning, and dependency monitoring
Apply zero trust principles through strict network segmentation, authentication, and authorization across our cloud environments
Participate in the security on-call rotation and respond to security alerts and incidents to ensure rapid mitigation and root cause analysis
8+ years of experience in Cloud Infrastructure, Platform Engineering, or similar roles
Proven track record of building and scaling infrastructure at high-growth technology companies
Deep understanding of cloud-native architectures, microservices, and distributed systems
Experience securing CI/CD pipelines, deployment automation, and internal tooling
Strong programming skills in Python, Go, or similar languages
Bonus: Experience with AI/ML infrastructure and multi-cloud environments
