Security Cloud and AI Engineer/Remote

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract Corp To Corp
Contract W2
1 Year
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Security Cloud and AI Engineer

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10513292
  • Position Id: 73328-12895-1785784036
  • Posted 1 hour ago
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