Vulnerability Management Engineer

Job Description:

Top Requirements

3 to 5 years experience in Vulnerability Management

3 to 5+ Years experience in Cybersecurity engineering

3 to 5+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in hosted production environments ·,

3 to 5+ years of professional, design, and open-source experience

Job Summary

Seeking an experienced Vulnerability Management Engineer with expertise in cybersecurity AI data security engineering and project leadership to safeguard organizational infrastructure and drive security initiatives

Job Description:

Collaborate with senior leadership project managers and stakeholders to align cybersecurity initiatives with corporate objectives and ensure successful project delivery Clearly communicate project risks and strategies to senior management and stakeholders to enable transparency and informed decisionmaking Ensure compliance with cybersecurity standards and regulations providing regular reports on security practices and compliance Integrate physical security measures with cybersecurity protocols to provide comprehensive infrastructure protection and monitoring Coordinate resources and manage project progress addressing issues and risks to ensure timely and successful delivery Develop and implement secure communication protocols to protect sensitive data and maintain system integrity Oversee Security Operations Center SOC operations ensuring uptodate tools technologies and processes for effective threat monitoring and response Communicate critical security risks strategies and incident statuses to executive leadership preparing detailed performance and compliance reports Develop and enforce governance frameworks for security operations aligned with organizational goals and regulatory requirements Mentor cybersecurity professionals fostering a culture of excellence and continuous improvement through targeted training Lead planning execution and delivery of cybersecurity projects and initiatives aligned with corporate objectives Design and implement advanced threat detection and incident response protocols for rapid identification containment and remediation of security incidents Apply AI Data Security Engineering principles to enhance protection of AI models and data ensuring confidentiality integrity and availability in AIdriven environments Utilize expertise in generative AI and LargeLanguage Models LLMs to address emerging security challenges and incorporate AIdriven security solutions

Roles and Responsibilities

• Work closely with senior leadership and stakeholders to align cybersecurity and AI data security strategies with business goals
• Manage vulnerability assessments and remediation efforts to reduce risk exposure
• Lead the integration of AI data security best practices within cybersecurity frameworks
• Oversee SOC operations ensuring readiness against evolving cyber threats
• Provide transparent communication of security risks incidents and compliance status to executive management
• Develop and maintain governance and compliance frameworks for cybersecurity and AI data security
• Mentor and develop cybersecurity team members promoting skill growth in vulnerability management and AI security
• Drive the design and implementation of secure software development lifecycle SDLC practices
• Implement and maintain advanced threat detection and incident response mechanisms
• Stay current with emerging cybersecurity trends especially in AI and data security and incorporate them into organizational practices

Skills

Mandatory Skills : AI Data Security Engineering, OT Security - OT/ICS Cybersecurity Threat and Vulnerability Management