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Open nowFirst seen 4 hours ago

Director, Security Software Engineering, Google Cloud

Google3,277 open roles

Where
Sunnyvale, CA, USA; New York, NY, USA
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Your applicationOpen nowDirector, Security Software Engineering, Google CloudGoogle · Sunnyvale, CA, USA; New York, NY, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: first seen 4 hours ago

Google median: 26 days open

The posting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
  • 15 years of experience in software engineering, systems architecture, or software security.
  • 8 years of experience leading engineering teams and managing managers.
  • Experience building distributed systems, security platforms, or cloud-native developer tooling.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or Cybersecurity.
  • Experience adapting SDLC paradigms for AI/LLM code generation and agentic automation.
  • Strong leadership and communication skills to drive alignment across global organizations.
  • Track record of building high-performing engineering teams at hyperscale tech companies.
  • Expertise in Autonomous Security Posture Management (ASPM) and continuous verification.
  • Solid background in cloud-native platforms, container runtimes, and AI-driven defense.

About the job

As the Director of Security Software Engineering, you will build and scale a critical engineering organization at the forefront of securing modern cloud software ecosystems. You will define the overarching technical vision, strategy, and execution for autonomous security posture, next-generation secure software lifecycles, and cloud-native defense across Google Cloud.

In this senior leadership role, you will combine deep software engineering and security architecture expertise with a passion for leading high-performing, multi-tiered engineering teams. Your mission is to eliminate systemic software vulnerabilities, pioneer security paradigms for AI-driven and agentic software development, and embed autonomous controls deep into developer and cloud infrastructure workflows at hyperscale.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Build, lead, and mentor a global organization of software engineers, security architects, and managers.
  • Define multi-year technical vision and engineering standards across security management and secure platforms while partnering with senior executive stakeholders to align priorities and drive shared outcomes.
  • Architect Autonomous Security Posture Management (ASPM) frameworks, incorporating automated detection, continuous verification, and platform-level telemetry to eliminate manual audit overhead.
  • Pioneer secure-by-design SDLC paradigms for AI-generated code and agentic development, embedding runtime governance and automated verification into CI/CD pipelines.
  • Drive cloud-native security engineering across microservice meshes and distributed platforms, leveraging AI/ML capabilities to accelerate defensive mitigations and threat modeling at hyperscale.
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