Security Customer Engineer, Google Cloud
Google · Mumbai
Collected role description
Role overview
Security Customer Engineer, Google Cloud at Google
Required qualifications
- Minimum qualification: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.; 10 years of experience in cybersecurity, with a focus on application security, secure Software Development Lifecycle (SDLC) practices, and vulnerability management, particularly within cloud-native or hybrid environments.; Experience with cloud and software development.
Preferred qualifications and skills
- Preferred qualification: Master's degree in Computer Science, Engineering, Mathematics, or related technical field.; Experience with AI-powered security tools for automated vulnerability detection, exploit generation, and code fix remediation.; Experience in a customer-facing technical role, delivering product and solution briefings, partnering with security leaders and technical teams, and optimizing for production results.; Understanding of the impact of AI on both offensive and defensive security strategies, including how AI can be leveraged to exploit binaries and firmware as source code.; Familiarity with platforms for deploying and managing security agents or AI models for security applications, particularly in code analysis and remediation workflows.
Employment details
- Location: Mumbai [Maharashtra] [India]
Application details
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About the employer
- Google is proud to be an equal opportunity and affirmative action employer.
- Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
- Please do not forward resumes to our jobs alias, Google employees, or any other organization location.
Additional role details
- We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
- See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
- If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
- To all recruitment agencies: Google does not accept agency resumes.
- Google is not responsible for any fees related to unsolicited resumes.
- Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.
- Alphabet Inc. is your sole contractual partner with respect to equity grants.
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- They have no impact on statutory payments.
- Current or past grants do not confer an acquired right.
Collected minimum qualification
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.; 10 years of experience in cybersecurity, with a focus on application security, secure Software Development Lifecycle (SDLC) practices, and vulnerability management, particularly within cloud-native or hybrid environments.; Experience with cloud and software development.
Collected preferred qualification
Master's degree in Computer Science, Engineering, Mathematics, or related technical field.; Experience with AI-powered security tools for automated vulnerability detection, exploit generation, and code fix remediation.; Experience in a customer-facing technical role, delivering product and solution briefings, partnering with security leaders and technical teams, and optimizing for production results.; Understanding of the impact of AI on both offensive and defensive security strategies, including how AI can be leveraged to exploit binaries and firmware as source code.; Familiarity with platforms for deploying and managing security agents or AI models for security applications, particularly in code analysis and remediation workflows.
Collected experience requirement
10 years of experience in cybersecurity, with a focus on application security, secure Software Development Lifecycle (SDLC) practices, and vulnerability management, particularly within cloud-native or hybrid environments.