HCL Technologies
HCL Technologies

Track Lead - AWS Security, Cloud Security

RoleSecurity
LevelLead
LocationIndia
WorkOn-site
TypeFull-time
Posted3 days ago
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About the role

Job Summary

  • Perform an initial assessment to better understand current environment to identify vulnerabilities, threats and opportunities for improvement.
  • Implement, configure, administer, and continuously optimize the Wiz platform across multi-cloud environments including AWS, Azure, and GCP.
  • Manage ongoing platform operations including updates, patching, policy tuning, platform health checks, and configuration remediation.
  • Monitor and improve cloud security posture by identifying misconfigurations, excessive permissions, exposed assets, and vulnerabilities, and driving prioritized remediation.
  • Support vulnerability management activities across cloud workloads, containers, identities, and connected services using risk-based analysis and attack-path context.
  • Troubleshoot complex issues related to CSPM, CNAPP, vulnerability scanning, integrations, and multi-cloud security operations.
  • Develop automation workflows and AI-driven operational enhancements to scale security support, improve efficiency, and reduce manual effort.
  • Partner with cloud, platform, Dev Sec Ops, stakeholder, and engineering teams to integrate Wiz findings into remediation workflows, operational processes, and security governance.
  • Support secure AI deployment initiatives through AI security design, AI governance, AI red teaming, and security controls for AI systems, models, and data pipelines.
  • Provide recommendations for security enhancements, hardening opportunities, and best practices to improve resilience across cloud and AI environments.
  • Maintain documentation, dashboards, and reporting related to cloud risk, remediation status, and platform performance.

Key Responsibilities

  • Perform an initial assessment to better understand current environment to identify vulnerabilities, threats and opportunities for improvement.
  • Implement, configure, administer, and continuously optimize the Wiz platform across multi-cloud environments including AWS, Azure, and GCP.
  • Manage ongoing platform operations including updates, patching, policy tuning, platform health checks, and configuration remediation.
  • Monitor and improve cloud security posture by identifying misconfigurations, excessive permissions, exposed assets, and vulnerabilities, and driving prioritized remediation.
  • Support vulnerability management activities across cloud workloads, containers, identities, and connected services using risk-based analysis and attack-path context.
  • Troubleshoot complex issues related to CSPM, CNAPP, vulnerability scanning, integrations, and multi-cloud security operations.
  • Develop automation workflows and AI-driven operational enhancements to scale security support, improve efficiency, and reduce manual effort.
  • Partner with cloud, platform, Dev Sec Ops, stakeholder, and engineering teams to integrate Wiz findings into remediation workflows, operational processes, and security governance.
  • Support secure AI deployment initiatives through AI security design, AI governance, AI red teaming, and security controls for AI systems, models, and data pipelines.
  • Provide recommendations for security enhancements, hardening opportunities, and best practices to improve resilience across cloud and AI environments.
  • Maintain documentation, dashboards, and reporting related to cloud risk, remediation status, and platform performance.

Skill Requirements

Cloud Security & Vulnerability Management (Wiz | AWS, Azure, GCP) • Remediation: o Patch servers and containers to reduce vulnerabilities o Upgrade/retire legacy versions o Resolve CSPM configuration issues across multi-cloud o Integrate security tools (e.g., Nucleus, Service Now) • Sustainment: o Continuous monitoring and remediation via Wiz o Ongoing posture improvements and integrations o Enhance cloud patching and operational processes 2. AI Platform Support • Enable and support AI deployments across multi-cloud • Strengthen security for AI platforms (Azure AI Foundry, Bedrock, AI Gateway) • Drive continuous platform improvements and onboarding of new services • Automate deployments and lifecycle management 3. Cloud Segmentation • Design and implement segmentation for AWS and Azure • Enforce network segmentation controls • Automate segmentation policies for scalability 4. Cloud Assessments • Conduct cloud environment assessments • Provide actionable recommendations for optimization and security

Other Requirements

Cloud Security & Vulnerability Management (Wiz | AWS, Azure, GCP) • Remediation: o Patch servers and containers to reduce vulnerabilities o Upgrade/retire legacy versions o Resolve CSPM configuration issues across multi-cloud o Integrate security tools (e.g., Nucleus, Service Now) • Sustainment: o Continuous monitoring and remediation via Wiz o Ongoing posture improvements and integrations o Enhance cloud patching and operational processes 2. AI Platform Support • Enable and support AI deployments across multi-cloud • Strengthen security for AI platforms (Azure AI Foundry, Bedrock, AI Gateway) • Drive continuous platform improvements and onboarding of new services • Automate deployments and lifecycle management 3. Cloud Segmentation • Design and implement segmentation for AWS and Azure • Enforce network segmentation controls • Automate segmentation policies for scalability 4. Cloud Assessments • Conduct cloud environment assessments • Provide actionable recommendations for optimization and security

Benefits and perks

Learning Budget

Required skills

Cybersecurity

Risk management

Incident response

About HCL Technologies

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