Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
- 5 years of experience working with distributed systems in either an academic or industry setting.
- 5 years of experience building software incorporating data privacy or security requirements.
- Experience in system security and applying security knowledge on Cloud.
- Experience with applied AI and AI systems.
- Ability to effectively collaborate and have proactive skills for delivery across multiple functions or working groups.
- Ability to define concrete and measurable goals within the team's scope.
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About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
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.
Responsibilities
- Identify and categorize impact and risk, and define mitigations for security risks within Cloud AI services or risks that apply when using those services.
- Define and implement "secure defaults"for Cloud AI development including key repeating themes around model training, model serving, and other identified development patterns.
- Engage in design-time review, feedback, and proposal setting for Cloud AI services and services reaching out to Cloud AI for support.
- Support creation and validation of customer-facing security messaging for Cloud AI customers.
- Help create a collaborative and proactive team.