Network Security Engineer

Key Responsibilities

• Design, implement, and manage security controls for cloud platforms, including infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and cloud-native workloads
• Secure AI and ML systems, including model development environments, training pipelines, data pipelines, APIs, and inference services
• Assess and mitigate risks related to cloud misconfigurations, identity and access management, data exposure, and insecure APIs
• Implement and maintain cloud security tooling such as CSPM, CWPP, CIEM, container security, and API security solutions
• Collaborate with engineering, DevOps, data science, and AI teams to embed security into CI/CD pipelines and ML workflows (DevSecOps / MLOps)
• Conduct security architecture reviews, threat modeling, and risk assessments for cloud and AI initiatives
• Define and enforce security standards, guardrails, and best practices for cloud and AI environments
• Monitor cloud and AI environments for security events, investigate alerts, and support incident response activities
• Using TTP Add/Modify Splunk alerts to triage notables
• Ensure protection of sensitive data used in AI systems through encryption, key management, data loss prevention, and privacy controls
• Support compliance with regulatory, contractual, and internal security requirements (e.g., SOC 2, ISO 27001, NIST, GDPR)
• Stay current on emerging cloud and AI threats, vulnerabilities, and industry best practices