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AI Job Summary

Lead and develop a team of software engineers while driving technical strategy for access control infrastructure on GCP. Requires 8 years of software development experience, 5 years building large-scale distributed systems, and 3 years each in people management and technical leadership roles. Focus on building reliable, intuitive enforcement systems and collaborating across product, engineering, and program management to execute long-term goals.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Inspire, lead, and develop a high-performing team of software engineers, actively coaching them to grow their skills and advance their careers.
  • Cultivate deep technical expertise in building and operating hyper-reliable GCP infrastructure, ensuring always-correct, intuitive, and fast access control enforcement.
  • Drive complex technical projects and provide technical oversight across the entire lifecycle, including requirements definition, design, implementation, testing, and support.
  • Collaborate with cross-functional leaders (Product Managers, Engineering Leads, TPMs) to define, align, and execute a unified, long-term technical goal and strategy.
  • Foster an open and collaborative environment that promotes teamwork, different perspectives, and psychological safety.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with developing large-scale infrastructure and distributed systems.
  • 3 years of experience in a people management role managing software engineering reports.
  • 3 years of experience in a technical leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • Experience with Generative AI and building Generative AI agents.
  • Experience with Cloud APIs.
  • Familiarity with identity, authentication or security.
  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with developing large-scale infrastructure and distributed systems.
  • 3 years of experience in a people management role managing software engineering reports.
  • 3 years of experience in a technical leadership role.
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  • Role Engineering Manager, Agentic Policies Platform
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

189K – 297K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 87 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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