Senior Security Engineer, National Security

Google Google · Big Tech · MD

Senior Security Engineer focused on building AI-driven security tools and workflows, including AI-native offensive tools and automated evaluation pipelines for secure code deployment. The role involves integrating LLMs and agentic workflows into operational environments within the Google Public Sector Cyber Defense and Security Operations group.

What you'd actually do

  1. Create custom AI-driven detections and workflows. Lead the design of automated, AI-native offensive tools and simulation frameworks to identify vulnerabilities at scale.
  2. Embed best practices into the Software Development Life Cycle (SDLC), building automated evaluation pipelines and guardrails for secure code deployment.
  3. Identify security issues and implement and design security controls, tools, and services to improve security systems and processes.
  4. Implement monitoring strategies, response plans, and awareness programs. Optimize SIEM, IDS/IPS, and core security tools.
  5. Conduct ongoing threat hunts using intelligence. Perform forensic analysis and provide actionable post-incident guidance.

Skills

Required

  • 5 years of experience with security assessments or security design reviews or threat modeling.
  • 5 years of experience with security engineering, computer and network security and security protocols.
  • 5 years of coding experience in one or more general purpose languages.
  • Active Top Secret/SCI security clearance with current polygraph.

Nice to have

  • Master's degree or PhD in Computer Science, Artificial Intelligence, Cybersecurity, or a related technical field.
  • Experience building, deploying, or evaluating AI-native solutions and generative AI technologies, including integrating LLMs or agentic workflows into complex operational environments.
  • Experience in offensive security, red teaming, or advanced pen testing, with the ability to apply an attacker's mindset to infrastructure defense and defensive engineering.
  • Experience in Developer Security Operations practices, including designing high-performance evaluation pipelines, building security automation, and integrating security controls directly into Continuous Integration (CI)/Continuous Deployment (CD) workflows.

What the JD emphasized

  • Must possess an active Top Secret/SCI security clearance with current polygraph.

Other signals

  • AI-driven detections
  • AI-native offensive tools
  • automated evaluation pipelines
  • generative AI technologies
  • integrating LLMs or agentic workflows