Senior Staff Software Engineer, AI/ML, IAM

The Google Cloud Platform is at the forefront of the cloud computing industry, and the Identity and Access Management (IAM) team is a cornerstone of its success. The rise of AI agents introduces new paradigms and tests to traditional IAM. AI agents operate accessing various resources and tools, shifting the focus from who has access to what can this agent do and what is it doing?. The potential impact and blast radius of agents can be obscured across multiple systems and policies, making risk assessment difficult. Furthermore, the proliferation of non-human identities and the velocity of agent actions amplify potential risks, while static policies struggle to govern dynamic agent behaviors.

The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities

• Lead the end-to-end design and implementation of large-scale GCP authorization systems using AI/ML tools.
• Partner with product managers and engineering leads to define long-term goal and execute complex technical projects in a fast-paced environment.
• Build and operate hyper-reliable, high-performance infrastructure to ensure intuitive and consistently accurate access control.
• Provide leadership across the full development lifecycle, from requirement definition and design to integration, launch, and support.
• Foster collaborative environment while actively mentoring and developing team members.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and working with industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• 3 years of experience with generative AI agents.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 7 years of experience in C++ or Java .
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Familiarity with identity, authentication or security.
• Familiarity with IAM concepts and systems.
  

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Seattle, WA, USA.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: