Sr Specialist Cybersecurity - Cyberark Implementation-(on Prem and P-cloud)

AT&T AT&T · Telecom · Hyderabad, AP, India

This role focuses on engineering, deploying, and maintaining the CyberArk Privileged Access Management (PAM) solution, including its on-premise and cloud components, scripting automation, user provisioning, vault management, and policy enforcement. The specialist will troubleshoot issues, implement policies, and ensure compliance with security standards and regulations. While familiarity with AI/ML in cybersecurity and AI-enabled tools is mentioned as a plus, the core responsibilities are centered around PAM system management, not AI model development or deployment.

What you'd actually do

  1. Engineering activities of the CyberArk PAM solution both Onprem, privilege cloud (SaaS), CyberArk conjur (DAP) and CyberArk EPM, including Deployment, scripting automation user provisioning, vault management, and policy enforcement.
  2. Troubleshoot and resolve issues related to CyberArk components, including Vault, CPM, PSM/PSMs, PVWA, SaaS components (SIA/SWA) and Secrets Management.
  3. Implement, configure, and maintain policies and workflows in CyberArk.
  4. Implement, configure, and maintain policies and workflows in CyberArk EPM.
  5. Collaborate with security architects, engineers, and the IT operations team to ensure smooth integration of CyberArk with other security tools and services.

Skills

Required

  • CyberArk PAM solution management
  • CyberArk on-prem and SaaS components
  • Scripting automation
  • User provisioning
  • Vault management
  • Policy enforcement
  • Troubleshooting CyberArk components
  • CyberArk API usage and integration
  • CyberArk upgrades and patches
  • Privileged Access Management (PAM) principles
  • Delinea AD Bridging
  • Active Directory (AD) integration
  • Information security standards (NIST, ISO)
  • Regulatory compliance requirements (SOX, PCI)

Nice to have

  • CyberArk Sentry, CDE, CPC certifications
  • Scripting languages (PowerShell, Python)
  • DevOps and CI/CD pipelines
  • Data science fundamentals relevant to security
  • AI/ML in cybersecurity contexts
  • AI-enabled tools (Copilot for Security, Darktrace, CrowdStrike Charlotte AI, custom LLM integrations)
  • LLM safety, prompt engineering, or AI governance frameworks
  • AI-driven risks mitigation
  • GenAI for security operations
  • Automation expertise for AI-driven onboarding and operational frameworks

What the JD emphasized

  • Minimum 8-12 years of experience working with CyberArk, including deployment, administration, and troubleshooting.
  • Expertise in CyberArk onprem and SaaS (Priv cloud) components: Vault, CPM, PSM, PVWA, Secrets Management, etc..
  • Familiarity with information security standards (NIST, ISO, etc.) and regulatory compliance requirements (SOX, PCI, etc.).