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Google Looking for Principal Engineer, Business Intelligence/AI Security, Google Cloud at Sunnyvale, CA, USA Full Time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor’s degree in Computer Science, related field, or equivalent practical experience.
- 15 years of experience in software engineering.
- 10 years of experience with enterprise and cloud security.
- Experience with security principles, authentication protocols, and threat modeling for BI, AI, and generative AI products and services.
- Experience providing the security of data analytics, ensuring the confidentiality, integrity, and availability of sensitive business data, in a highly regulated industry (e.g., information technology, healthcare, financial services, etc.).
Preferred qualifications:
- Experience leading technical strategy for long-term security, privacy, and compliance across BI and AI products.
- Expertise in addressing unique security challenges in cloud and hybrid environments, including GCP.
- Ability to collaborate effectively with diverse teams across different disciplines and organizations.
- Ability to collaborate closely with Engineering teams to ensure seamless implementation, fostering a culture of security excellence and efficiency.
- Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
About the job
Google Cloud Data Analytics is a suite of services that helps customers collect, store, process, and analyze data in the cloud. It includes a variety of tools and features that can be used to build data pipelines, create data warehouses, and run analytics queries. Google Cloud Data Analytics can be used to support a wide range of business use cases, from massive data-parallel batch pipelines to real time streaming data.
As the Principal Engineer, Business Intelligence (BI) and AI Security, you will drive the security strategy and execution for Google’s diverse portfolio of BI and AI products and services, including Looker, Studio, and generative AI offerings. The BI group’s diverse portfolio spans on-premise, hybrid, and SaaS solutions across multiple cloud environments, as well as cutting-edge generative AI services. You will shape the security landscape for some of Google’s most innovative products and services, protecting both the company and its customers from evolving threats.
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.
The US base salary range for this full-time position is $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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
- Partner with BI, Data Analytics, and GCP teams to ensure a holistic security approach, addressing both immediate needs and long-term strategic goals, and make informed decisions regarding product releases, including the authority to delay launches if security concerns are not adequately addressed.
- Foster a culture of security awareness and best practices across the organization, embedding security considerations into the design and development processes.
- Identify and address emerging threats to BI and AI systems proactively, including those unique to generative AI, such as model poisoning and adversarial attacks.
- Ensure the confidentiality, integrity, and availability of sensitive customer data, maintaining the highest standards of data privacy and security.
- Develop and implement a comprehensive security roadmap for BI and AI products and services, ensuring alignment with Google’s overall security goals.
