JobHabor

Senior Cloud Technology Lead

Palni

Location
Menlo Park, CA
Workplace
Remote
Employment
Contract
Salary
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Posted 1mo ago

Security Cloud & AI Engineer

Location-Remote

Job Summary

We are seeking a Security Cloud & AI Engineer to design, implement, and maintain secure cloud infrastructure while integrating AI-driven security solutions. The ideal candidate will have experience in cloud platforms, cybersecurity best practices, automation, and AI/ML technologies to enhance organizational security and operational efficiency.

Key Responsibilities

  • Design, deploy, and manage secure cloud environments (AWS, Azure, or Google Cloud).
  • Implement cloud security controls, identity and access management (IAM), and network security.
  • Monitor cloud infrastructure for security threats and vulnerabilities.
  • Develop and automate security processes using scripting and Infrastructure as Code (IaC).
  • Implement AI/ML-based security solutions for threat detection, anomaly detection, and incident response.
  • Collaborate with DevOps and development teams to integrate security into CI/CD pipelines (DevSecOps).
  • Perform security assessments, risk analysis, and compliance audits.
  • Investigate security incidents and support incident response activities.
  • Stay current with emerging cloud security and AI technologies.

Required Skills

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Knowledge of cloud security services and best practices.
  • Familiarity with IAM, firewalls, VPNs, encryption, and network security.
  • Understanding of cybersecurity frameworks (NIST, ISO 27001, CIS Controls).
  • Experience with scripting languages such as Python, PowerShell, or Bash.
  • Knowledge of Infrastructure as Code tools (Terraform, CloudFormation, or ARM/Bicep).
  • Experience with container security (Docker, Kubernetes).
  • Basic understanding of AI/ML concepts and their security applications.
  • Familiarity with SIEM, SOAR, EDR/XDR, and security monitoring tools.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Information Security, or a related field.
  • Experience with DevSecOps practices.
  • Security certifications such as Security+, CISSP, CCSP, AWS Security Specialty, Azure Security Engineer Associate, or Google Professional Cloud Security Engineer.
  • Exposure to Generative AI, LLM security, prompt engineering, or AI governance is a plus.

Nice-to-Have

Skills

  • AWS
  • Azure
  • Google Cloud Platform
  • Kubernetes
  • SPIFFE
  • SPIRE

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