cloud security/AI security Engineer

Tap Growth ai; Los Angeles (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Tap Growth ai in Los Angeles is seeking a Cloud Security/AI Security Engineer to strengthen our cybersecurity and AI risk management capabilities. The role focuses on designing secure cloud architectures, protecting AI data pipelines, and coordinating security practices with engineering teams.

You will monitor threats, perform risk assessments, and help implement incident response plans for cloud and AI systems.

Qualifications

• Minimum 2 years of experience in cloud or AI security engineering.
• Proficiency with AWS, Azure, GCP, or similar platforms.
• Familiarity with cybersecurity frameworks like NIST or ISO.

Responsibilities

• Design and implement cloud security architectures and solutions.
• Monitor, detect, and respond to security threats across cloud environments.
• Assess and mitigate risks related to AI models and data pipelines.
• Collaborate with engineering teams to integrate secure development practices.
• Conduct vulnerability assessments, penetration tests, and audits.
• Develop incident response plans for cloud and AI-related breaches.

Skills

Cloud security

AI security

Cloud platforms

Threat detection

Incident response

Security best practices

Communication & teamwork

Tools

AWS

Azure

GCP

NIST/ISO frameworks

Job description

We're Hiring: Cloud Security/AI Security Engineer

We are looking for a skilled Cloud Security/AI Security Engineer to strengthen our cybersecurity and AI risk management capabilities. The ideal candidate will have hands-on experience in cloud security, AI systems protection, and implementing best practices to safeguard critical assets and data.

Location

Los Angeles, United States

Work Mode

Work from Office

Role

Cloud Security/AI Security Engineer

What You’ll Do

• Design and implement cloud security architectures and solutions
• Monitor, detect, and respond to security threats across cloud environments
• Assess and mitigate risks related to AI models and data pipelines
• Collaborate with engineering teams to integrate secure development practices
• Conduct vulnerability assessments, penetration tests, and audits
• Develop incident response plans for cloud and AI-related breaches

What We’re Looking For

• Minimum 2 years of experience in cloud or AI security engineering
• Proficiency with AWS, Azure, GCP, or similar platforms
• Knowledge of cybersecurity frameworks (e.g., NIST, ISO)
• Familiarity with AI technologies and ethical considerations
• Strong problem-solving skills and attention to detail
• Effective communication & teamwork abilities