Technical Manager-GIT

Job Summary

Job Summary

We are seeking an experienced Cyber Security Engineer to lead the administration, engineering, and operational support of AI Detection & Response (AIDR),AI Security , Cloud Security, and Security Service Edge (SSE) platforms. The role includes designing and implementing security controls, leading incident investigations, optimizing security policies, driving automation, and collaborating with cross-functional teams to strengthen the organization's AI, cloud, and secure access posture.

Key Responsibilities

Key Responsibilities

• Lead administration and support of AIDR, AI Security Gateway, SWG, CASB, ZTNA, DLP, Enterprise Browser platforms.
• Design, implement, and optimize security policies for AI applications, SaaS services, cloud workloads, and internet access.
• Manage Cloud Security (AWS, Azure, GCP) posture, including CSPM, CNAPP, AISPM, IAM, and cloud workload protection.
• Implement AI governance controls, Shadow AI detection, AI risk management, and AI data protection policies.
• Develop operational runbooks, standard operating procedures (SOPs), and automation using PowerShell, Python, or APIs.

Mentor junior engineers (E1/E2), provide technical guidance, and participate in architecture reviews, technology evaluations, and security transformation initiatives

Skill Requirements

Required Skills

• Strong expertise in AI Security, AIDR, Cloud Security, and SSE architecture.
• Hands-on experience with SWG, CASB, ZTNA, DLP, CSPM, CNAPP, AI Security Gateway, Enterprise Browser, and IAM.
• Deep understanding of networking, SSL/TLS, proxy technologies, authentication (SAML, OAuth, OIDC), Microsoft Entra ID, and Zero Trust architecture.

Proficiency in PowerShell/Python scripting, REST APIs, and automation.

Other Requirements

Qualifications

• CCNP Security, CISSP, Security+, or vendor certifications (Cisco, Netskope, Zscaler, CrowdStrike, Wiz).

Key Competencies

• Technical leadership and ownership
• Advanced troubleshooting and problem-solving
• Security architecture and engineering mindset
• Incident management and Root Cause Analysis
• Automation and process improvement
• Stakeholder management and vendor coordination
• Mentoring and knowledge sharing
• Strong communication and documentation skills