MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

• 3 years of experience with sandboxing or isolation techniques in a production environment.

• 2 years of experience programming in Go.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in Computer Science or related technical field.

• 5 years of experience with data structures and algorithms.

• 1 year of experience in a technical leadership role.

• Experience developing accessible technologies.

• Experience building and scaling foundational AI prototyping frameworks, sandboxes, or tooling.

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.

The SCS Control Plane team operates at the exciting intersection of enterprise

security and AI, bridging centralized Google Cloud governance with secure, low-latency AI execution directly on end-user devices.

In this role, you will be instrumental in driving our technical roadmap, building the core infrastructure that powers this ecosystem from the ground up. You will address unique, complex developing issues across cloud services, cross-platform process isolation, and secure networking to enforce strict zero-trust boundaries at the client edge. This is a unique hybrid role, where you will bridge the gap between back-end infrastructure and client-side software, writing code that powers both our global Cloud APIs and the local daemons running on developers' laptops.

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.

Canada: $182000 - $187000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• Design and develop scalable control plane services that bridge cloud-based enterprise governance with local, on-device execution environments.
• Build cross-platform client-side components and daemon processes that seamlessly orchestrate the lifecycle of local AI agents and their dependencies.
• Secure zero-trust execution boundaries and network enforcement mechanisms that protect corporate data while maintaining a frictionless developer experience.
• Drive the end-to-end integration and testing of the secure sandbox architecture. Design the connective tissue between cloud control planes, local orchestrators (ACC), local registries (LAR), and Envoy-based gateways (LAG) to ensure seamless, secure AI agent execution.
• Act as an executive technical leader within the team to manage stakeholders effectively and solve ambiguous technical issues, contributing to the overall strategy and roadmap for the team.