Sr. Security Software Engineer, Corporate Security

Pinterest Pinterest · Consumer · San Francisco, CA · Security

This role is for a Sr. Security Software Engineer on the Corporate Security team at Pinterest. The primary focus is on developing automation and tooling for vulnerability scanning and incident triage, conducting security architecture and code reviews, and implementing secure engineering practices. The role will collaborate with XFN teams and leverage AI to accelerate analysis and iteration in security processes, while also critically evaluating AI-assisted work.

What you'd actually do

  1. Automation & Tooling - Develop scripts, tools, and automated pipelines to streamline vulnerability scanning, incident triage processes. Integrate security tools within CI/CD pipelines.
  2. Security Architecture & Code Review - Consult and engineer secure-by-design systems. Conduct design and code reviews to identify vulnerabilities, misconfigurations, and security flaws early in the development lifecycle.
  3. Champion Security Automation Culture: Advocate for and educate team members on secure coding, automation practices, and emerging security technologies.
  4. Implement Secure Engineering Practices - Design, develop, and maintain software systems with security best practices integrated throughout the development lifecycle.
  5. Collaborate with XFN Teams - Partner with security engineers and IT to improve detection and remediation of threats across infrastructure and applications.

Skills

Required

  • Linux/UNIX, macOS or Windows internals with an emphasis on proactive hardening
  • Experience working in conjunction with IT architectural and infrastructure groups to coordinate and implement roadmaps for future scalability, growth, and capacity.
  • Fleet management experience (e.g. Puppet, Chef, Terraform or similar)
  • Cloud computing experience (infrastructure or security experience both valuable)
  • Systems security experience (e.g. hardening a corporate identity environment)
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership

Nice to have

  • Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience.

What the JD emphasized

  • critical evaluation and verification of AI-assisted work
  • avoid over-reliance on AI
  • remain accountable for final decisions and deliverables