G

Google

Runs Search and YouTube and builds Gemini AI

Security Engineer 2 - Core, Enterprise Access Security Engineering

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • One year of experience with security assessments, security analysis, and cybersecurity.
  • One year of coding experience in one or more general-purpose languages.
  • Experience with security engineering, computer and network security, and security protocols.
  • Experience with automation tools and processes.

Responsibilities

  • Create, assess, and harden infrastructure designs, systems, and access policy enforcement points across all levels of the stack for human users, workloads, and AI agents.
  • Ensure access infrastructure and agentic workflows are resilient against attacks, privilege misuse, and abuse.
  • Contribute technical, process, and engineering solutions to identify human and AI agent access risks, improve the security posture of google.com, and enable scalable management of security controls across Alphabet.
  • Write feature requests, define safety guardrails, and influence security improvements in products and enterprise AI agents to enable secure use at scale.
  • Consult with engineering teams on authentication, authorization, and adaptive access control through security design reviews, threat modeling, and operational triage.
  • Work with network equipment and actively monitor systems for attacks and intrusions.
  • Work with software engineers to proactively identify and fix security flaws and vulnerabilities.

Desired Qualifications

  • Experience assessing security designs, managing identity and access controls, and responding to security issues in complex enterprise environments.
  • Experience with identity and access management, authentication, authorization, and access control models.
  • Experience building, securing, or evaluating AI agents and large language model workflows, including prompt engineering, agent skills, and safety guardrails, with an understanding of agentic security risks such as prompt injection, over-privileged access, or data exfiltration.
  • Experience applying statistical analysis and querying large datasets or access logs using SQL or custom scripts to measure control effectiveness, including precision/recall and A/B experiments, identify risks, and validate policy changes.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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