Staff Software Engineer, AI/ML, Identity
Company: Google
Location: Sunnyvale
Posted on: April 2, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 8 years of experience in software
development. 5 years of experience testing, and launching software
products, and 3 years of experience with software design and
architecture. 5 years of experience with Cloud Security or
Identity. 3 years of experience applying Generative AI or machine
learning to the cloud domain. Preferred qualifications: Master’s
degree or PhD in Engineering, Computer Science, or a related
technical field. 8 years of experience with data structures and
algorithms. 3 years of experience in a technical leadership role
leading project teams and setting technical direction. 3 years of
experience working in a structured organization involving
cross-functional, or cross-business projects. Experience with
authentication. Experience with identity protocols such as open
authorization (OAuth) or SAML. About the job Google's software
engineers develop the next-generation technologies that change how
billions of users connect, explore, and interact with information
and one another. Our products need to handle information at massive
scale, and extend well beyond web search. We're looking for
engineers who bring fresh ideas from all areas, including
information retrieval, distributed computing, large-scale system
design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. As a Staff Software Engineer on the Workforce
Identity team, you will architect the next generation of Google
Cloud’s bring your own ID (BYOID) infrastructure a transformational
effort to decouple access from identity synchronization. You will
lead the platformization of seamless onboarding for SaaS products,
engineering high-scale distributed systems that leverage openID
connect (OIDC) and security assertion markup language (SAML) to
bridge third-party identity providers with Google Cloud Platform
(GCP) resources. You will pioneer the intersection of identity and
applied AI, integrating the model context protocol (MCP) and
agent-to-agent (A2A) frameworks to secure agentic workloads in
multi-cloud and hybrid environments. You will balance security and
"one-click" scalability with the drive to build an intelligent,
identity-aware ecosystem that solves the most onboarding issues for
enterprise customers. The US base salary range for this full-time
position is $207,000-$300,000 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. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Design and implement features and services in the
Google Cloud Platform (GCP) identity ecosystem. Be involved in
design/code reviews, architecture discussions and infrastructure
reviews. Partner and collaborate with related engineering teams,
product management and program management to ensure the development
of high-quality solutions in a timely manner. Write reliable,
efficient, and testable software. Analyze and troubleshoot problems
and make recommendations.
Keywords: Google, Manteca , Staff Software Engineer, AI/ML, Identity, IT / Software / Systems , Sunnyvale, California
