IT Security Specialist (Identity & AI)

About the Company

Responsibilities

• ● What the role is
• ● As an Identity & AI Security Specialist, you will strengthen HDB's identity security capabilities and enable the secure adoption of Generative AI and agentic AI. Working with system owners, architects, operations teams, governance functions and partners, you will design, implement, administer and operate security controls and the supporting infrastructure for human identities, privileged accounts, service and workload identities, application credentials and AI agents across on-premises, cloud and AI-enabled environments. You will also help maintain the security, availability, performance and resilience of enterprise identity and AI security platforms and their underlying infrastructure.
• ● What you will be working on
• ● Shape identity and AI security: Review and improve policies, standards, reference architectures and control requirements in line with the threat landscape, regulatory obligations and industry practices.
• ● Assess and reduce risk: Identify gaps affecting human, privileged, machine and AI identities; conduct security risk assessments; and recommend practical remediation measures and security solutions.
• ● Engineer identity controls: Design, implement and enhance IAM, IGA, PAM, PIM, MFA, SSO, Conditional Access, RBAC, just-in-time access and access-governance capabilities across hybrid environments.
• ● Govern the identity lifecycle: Establish controls for privileged accounts, service accounts, application identities, API credentials, workload identities and AI agents, including discovery, onboarding, recertification, credential rotation and decommissioning.
• ● Secure AI use cases: Review Generative AI and agentic AI solutions and define controls for agent authentication and authorisation, tool and data access, secrets, prompt injection, excessive agency, data leakage, human approval, logging and auditability.
• ● Maintain identity and AI security infrastructure: Administer, operate and maintain enterprise identity and AI security platforms and their underlying infrastructure. Monitor system health, capacity, availability, performance, security and integration dependencies; perform patching, upgrades, hardening, backup and recovery activities; troubleshoot technical issues; and coordinate maintenance and technology refreshes with internal teams and vendors.
• ● Deliver secure and resilient solutions: Translate business, infrastructure and security requirements into solution designs and implementation plans; coordinate configuration, integration, testing, deployment and operational handover; and manage lifecycle upgrades, capacity needs, resilience and technology refresh activities.
• ● Automate and integrate: Develop scripts, API integrations and workflows to improve identity discovery, provisioning, access reviews, credential management, monitoring and remediation.
• ● Operate and respond: Monitor the health, availability, performance and security posture of identity and AI security platforms and their supporting infrastructure. Investigate alerts, service disruptions and security incidents; perform root-cause analysis; and implement timely recovery, containment, remediation and preventive measures.
• ● Support assurance: Maintain technical documentation, operating procedures and control evidence; support audits and assessments; and ensure excessive, dormant or unauthorised access is remediated promptly.
• ● Communicate outcomes: Analyse risks, trends and control effectiveness, and present clear recommendations and management reports to technical and non-technical stakeholders.
• ● What we are looking for
• ● Have a degree in cybersecurity, computer science, information systems, engineering or a related discipline, or equivalent relevant professional experience.
• ● Have at least 3 years of relevant experience in identity security, cybersecurity engineering, infrastructure operations or security architecture, including hands-on experience implementing, administering or supporting enterprise identity and AI security platforms and their underlying infrastructure.
• ● Have practical knowledge of enterprise infrastructure operations, including Windows Server or Linux administration, platform monitoring, system hardening, patching, backup and recovery, high availability, capacity management, change management and technical troubleshooting.
• ● Understand identity lifecycle management, authentication, authorisation, Zero Trust, least privilege, segregation of duties, privileged access, access reviews and identity-related threat scenarios.
• ● Have working knowledge of enterprise identity technologies and integration patterns, including Active Directory or Microsoft Entra ID, SAML 2.0, OAuth 2.0, OpenID Connect, SCIM, LDAP, Kerberos, federation and REST APIs.