As a Principal Engineer, you will be a Security and Compliance leader across Google Cloud Platform's (GCP) Data Analytics product portfolio. This role spans across multiple product teams and you will help define/drive long-term security and compliance priorities for the area. You will employ a hybrid approach of direct oversight of security related aspects of product features and technical guidance including, mentorship, high-level consulting, and risk/growth management. You will act as an escal... more details
As a Principal Engineer, you will be a Security and Compliance leader across Google Cloud Platform's (GCP) Data Analytics product portfolio. This role spans across multiple product teams and you will help define/drive long-term security and compliance priorities for the area. You will employ a hybrid approach of direct oversight of security related aspects of product features and technical guidance including, mentorship, high-level consulting, and risk/growth management. You will act as an escalation point for security and compliance related technical decisions across the team when necessary and function as a trusted partner for other Directors and C-level leaders in defining both short-term tactical approaches and longer term strategy.
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.
Utilize expertise in security architecture of cloud services including experience with threat modeling. Provide guidance to teams on authoring and maintaining the threat model of their components/services and come up with recommendations on addressing potential vulnerabilities.
Be knowledgeable of cross-cloud environments and the new set of challenges they bring (i.e., identity federation and cross-domain authentication). Provide team wide guidance on how to navigate these issues.
Navigate heterogeneity (i.e., OSS vs. proprietary software stacks and multi-single-tenant vs. multi-tenant systems).
Build relationships and trust both inside Data Analytics and outside with the broader Google Cloud Platform (GCP) team, through a combination of humility, empathy, and technical expertise. Guide and enable others.
Articulate journey with respect to diversity, equity, and inclusion.
Minimum qualifications:
Bachelor's degree in Computer Science, Mathematics, other relevant engineering field, or equivalent practical experience
15 years of professional software engineering experience
Experience with security principles, authentication protocols, and threat modeling
Preferred qualifications:
Experience designing secure cloud services including threat modeling and protocol design
Expertise in addressing unique security challenges in hybrid, multi-cloud environments
Familiarity with security and compliance issues arising in the newly emerging space of GenAI based tools and applications
Ability to collaborate effectively with diverse teams across different disciplines and organizations
Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences
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