Senior Cloud Technology Lead
Palni
- Location
- Menlo Park, CA
- Workplace
- Remote
- Employment
- Contract
- Salary
- —
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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