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X This posting is for a new vacancy.
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
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 with full stack development, across back-end such as Java, Python, Golang, or C codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 3 years of experience testing, maintaining, or launching software products.
- 1 year of experience with software design and architecture.
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.
About the jobThe Agent Endpoint Control Plane team operates at the exciting intersection of enterprise security and AI, bridging centralized Google Cloud governance with secure, low-latency local AI execution.
In this role, you will drive how our secure client sandbox reaches the enterprise fleet. You will develop and maintain the end-to-end release lifecycle, building unified installation packages that deploy local components across macOS, Windows, and Linux. You will manage challenges related to multi-platform CI/CD, cryptographic code signing, and software supply chain security. You will ensure our software is trusted by host operating systems and easily distributable through standard mobile device management (MDM) solutions.
You will grow in a changing environment to ensure the secure, frictionless delivery of local AI agents.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Canada: $182000 - $186000 (CAD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
