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Security Customer Engineer, Google Cloud

Google
Sydney, AUS
Senior · 6+ years experience
Onsite
Discovered 2 weeks ago
javapython

Full Job Posting

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
  • Work directly with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to complete solutions using best practices on Google Cloud.
  • Share security experience to support the technical relationship with customers, including product and solution briefings and proof-of-concept work, partnering with product management to prioritize solutions impacting customer engagement with Google Cloud.
  • Support customer-facing presentations and conduct workshops to share the experience and be a subject matter expert on cyber security.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience in a technical sales engineering role in security or cloud native environments.
  • Experience in cybersecurity (e.g., network security, Security Operations Center (SoC) platform, threat detection, malware intelligence, cloud security posture management, or identity and access management systems).

Preferred qualifications:

  • Certification in the Cloud or Security industry.
  • Experience in building and managing AI threat detection and security analytics solutions on Cloud.
  • Experience developing programs/scripts in Python, Java, C++.
  • Experience in architecture and developing software for scalable, distributed systems.
  • Knowledge of public cloud platforms and technical concepts such as Security, Artificial Intelligence (AI), Platform as a Service (PaaS), Software as a Service (SaaS), Infrastructure as a Service (IaaS), and related industry topics.
  • Ability to lead architecture discussions and influence key decision makers around deployment topologies, scaling, performance and sizing.

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