India · Senior
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Skills required:
Strong hands-on expertise across enterprise security technologies EDR, PIM/PAM, WAF, IDS/IPS, Vulnerability Management, DLP, and cloud security platforms.
2 Experience managing deployment, configuration, integration, health, coverage, and operational effectiveness of security controls against industry best practices, KPIs, and KRIs.
3 Hands-on knowledge of cloud security CNAPP, CSPM, CWPP, DSPM, and KSPM across Azure, AWS, and GCP, including remediation of misconfigurations and workload-hardening findings.
4 Strong understanding of vulnerability management, patch compliance, remediation tracking, and technology-obsolescence risk management.
5 Experience in identity-security risk monitoring, including excessive privileges, dormant and service accounts, MFA gaps, and privileged-access exceptions.
6 Ability to govern enterprise AI security frameworks covering policy, risk assessment, data protection, access control, compliance, and continuous monitoring.
7 Strong analytical, documentation, dashboarding, reporting, and stakeholder-management skills, with knowledge of security frameworks such as NIST, CIS, and ISO 27001.
Job responsibilities:
1 Oversee and maintain the maturity of security technologies (EDR, PIM/PAM, WAF, IDS/IPS, Vulnerability Management, DLP, and cloud security platforms) against defined industry best practices, KPIs, and KRIs.
2 Manage the deployment, configuration, integration, health, coverage, and operational effectiveness of enterprise security technologies.
3 Drive remediation of vulnerabilities, security misconfigurations, unsupported technologies, and securitycontrol gaps.
4 Define and track SecOps KPIs and KRIs covering vulnerability ageing, patch compliance, security-tool coverage, remediation timelines, incidents, and risk exceptions.
5 Prepare cybersecurity dashboards, operational reports, and risk updates for governance and leadership teams.
6 Manage the effectiveness and coverage of cloud security deployments including CNAPP, CSPM, CWPP, DSPM, and KSPM across Azure, AWS, and GCP, and coordinate remediation of cloud misconfigurations, identity-control gaps, network-segmentation issues, encryption gaps, and workloadhardening findings.
7 Manage remediation of findings arising from audits, cybersecurity assessments, penetration tests, cloud reviews, compliance reviews, and operational-risk assessments, ensuring closure with appropriate technical validation and supporting evidence.
8 Conduct periodic security-control validation, attack simulations, and tabletop exercises.
9 Monitor identity-security risks, including excessive privileges, dormant accounts, service accounts, MFA gaps, and privileged-access exceptions.
10 Govern the enterprise AI security framework, including policies, risk assessment, data protection, access controls, compliance, and continuous monitoring.
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