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Sr Cloud Security Architect

Posted about 20 hours agoViewed

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💎 Seniority level: Senior, Typically requires a Bachelors degree in a technical discipline, and a minimum of 13+ years related experience or a Masters degree and 8+ years equivalent industry experience of a PhD and 5+ years of experience.

📍 Location: United States

💸 Salary: 181000.0 - 301600.0 USD per year

🗣️ Languages: English

⏳ Experience: Typically requires a Bachelors degree in a technical discipline, and a minimum of 13+ years related experience or a Masters degree and 8+ years equivalent industry experience of a PhD and 5+ years of experience.

🪄 Skills: AWSPythonArtificial IntelligenceCloud ComputingCybersecurityGCPAPI testingAzureCI/CDRESTful APIsDevOpsRisk ManagementScripting

Requirements:
  • Experience creating security-based threat models for Cloud Applications
  • Experience working in a Cloud Environment (GCP, Azure, AWS)
  • Experience with using a security-based risk scoring system (CVSS)
  • Experience with the application of Large Language Models (LLMs)
  • Knowledge of OWASP top ten vulnerabilities for web applications and APIs
  • Experience with a Threat Modeling tool such as Irius Risk and STRIDE Threat Modeling methodology
  • A solid understanding of symmetric key and public key cryptography and standard security protocols such as TLS and IPsec.
  • Development experience with a common scripting language (e.g., Python, Bash) or programming language (C, C++, C#, or Java).
  • Experience maintaining or implementing Cloud infrastructure in support of Application Development
Responsibilities:
  • Attend design review meetings to identify and document any potential security risks in a new cloud implementation.
  • Work with Development Operations (DevOps) to review currently deployed applications and their supporting infrastructure for potential security risks.
  • Document any findings and recommendations for formal review.
  • Implement security-based controls to mitigate any potential risks identified during a security review.
  • Advise DevOps team members on security best-practices
  • Provide guidance and leadership in the applications of Artificial Intelligence to cybersecurity processes, including improvements to risk identifications and mitigations and security controls for AI services
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