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    Job · 22214215

    Moody's Analytics logo

    Cybersecurity Engineer - Privileged Access Management

    Moody's Analytics · Gurugram · onsite · Posted 1d ago

    Undisclosed3–7 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary

    Design, build, and scale secure, cloud-first identity and privileged access management solutions that support a global enterprise and enable highly automated, reliable identity services.

    Skills and Competencies

    • 3-7 years of IAM engineering experience with 2+ years in direct Privileged Access Management in enterprise or regulated environments
    • Strong scripting expertise (Python/ PowerShell) with working knowledge of Java or similar programming languages
    • Experience in system integration using REST APIs, SCIM, webhooks, and event-driven architectures, with knowledge of authentication protocols (OAuth 2.0, mTLS, API keys, JWT, SAML, OIDC)
    • Solid understanding of identity lifecycle management (JML, Active Directory lifecycle) and Non-Human Identity (NHI) security (service accounts, API keys, workload identities)
    • Hands-on PAM expertise including credential vaulting, password rotation, privileged session management/monitoring, JIT and least privilege access, break-glass governance, and access reviews/certifications, along with RBAC/ABAC models
    • Strong foundation in core security principles (Zero Trust, least privilege, segregation of duties, auditability) with additional exposure to tools like BeyondTrust (Password Safe, DevOps Secrets Safe, PRA, EPM, Insights), ServiceNow integrations, and SailPoint (IIQ/ISC) for IGA/PAM convergence will be a plus
    • Experience with cloud platforms (Azure preferred, AWS/GCP) with familiarity of DevOps ecosystem (CI/CD pipelines, Git, automated testing, Terraform, Helm, Kubernetes, Docker)
    • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

    Education

    • Bachelor s degree in Computer Science, Information Technology, Cybersecurity, Engineering, or a related field, or equivalent practical experience

    Responsibilities

    • Design, develop, and enhance IAM and PAM capabilities across authentication, authorization, identity governance, and privileged access management
    • Build and maintain integrations using REST APIs, SCIM, web services, and event-driven architectures
    • Implement and optimize identity lifecycle processes (provisioning, access requests, deprovisioning, certifications, and privileged access reviews)
    • Define and enforce access models and policies (least privilege, Just-in-Time access, break-glass governance) aligned with business and security needs
    • Develop automation and reusable services (credential vaulting, password rotation) to improve efficiency and system reliability
    • Implement CI/CD pipelines, automated testing, and version-controlled deployments for IAM and PAM solutions
    • Enhance observability through logging, monitoring, alerting, service health metrics, and privileged session tracking
    • Troubleshoot complex issues, drive root cause analysis, leverage AI-driven automation for identity operations/anomaly detection, and collaborate with security, engineering, and product teams while maintaining documentation, runbooks, and audit/compliance readiness

    About the Team

    The Identity and Access Management team is focused on building and operating a modern, scalable, and secure identity and privileged access platform that supports Moody's global workforce and technology ecosystem. The team partners closely with cybersecurity, engineering, and business stakeholders to deliver automated, cloud-first identity and PAM solutions that enable innovation while maintaining strong security, governance, and compliance standards.



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationAccess ManagementActive Directorysystem integrationMonitoringRisk AssessmentPythonRisk ManagementComputer ScienceInformation Technology

    About Moody's Analytics

    Moody's Analytics logo

    Moody's Analytics

    Analytics & KPO

    761

    employees

    2007

    19 years old

    New York, New York

    United States (USA)

    ₹17.5L PA avg

    Avg at Moody's Analytics

    About

    Moody's Analytics provides financial intelligence and analytical tools supporting our client's growth, efficiency and risk management objectives.

    Industries

    Analytics & KPOFinancial Services

    Employee ratings

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    4.0/ 5

    Culture

    3.6

    Career growth

    3.2

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    3.5

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