Customer Engineer, Google Cloud Security
Bengaluru, Karnataka, Indiaonsitefull timeToday
Responsibilities:
Act as the primary technical advisor, partnering with Sales to build and execute account strategies that win trust and drive adoption of Google Cloud Security solutions.
Design creative, scalable, and resilient security architectures that map directly to our customers’ specific business goals and operational challenges.
Lead technical validations, including Proofs of Concept (PoC) and technical deep-dives, proactively identify and remove roadblocks to ensure project success.
Serve as an expert storyteller who can translate complex cybersecurity concepts into compelling, practical business outcomes for both technical practitioners and executive stakeholders.
Partner with product development stakeholders to refine product capabilities, contributing technical insights that optimize performance and market relevance.
Minimum qualifications:
Bachelor’s degree in Computer Science, Cybersecurity, Engineering, or a related field, or equivalent practical experience.
10 years of experience in a technical environment, including 5 years in a customer-facing technical pre-sales or solutions architecture role
8 years of experience with modern SOC stack (e.g., SIEM, SOAR, NDR, EDR, UEBA and Threat Intelligence).
Experience in gathering business requirements, facilitating whiteboarding sessions, and delivering technical presentations to stakeholders.
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
Certificated in the Cloud or Security industry (e.g., CISSP, CISM, CEH, Google Cloud Professional Cloud Security Engineer).
Experience working with, evaluating, or securing AI agents, Generative AI models, or LLM-driven applications in an enterprise context.
Experience implementing complex enterprise security solutions (e.g., advanced threat hunting, Zero Trust architectures, Identity and Access Management systems).
Demonstrated proficiency in coding or scripting (e.g., Python, Go) and experience with log parsing, data normalization, and automation logic.
A knack for troubleshooting complex, multi-layered cybersecurity environments and a rigorous approach to technical roadblocks.
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