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Information Security Engineering Manager – IAM

Job in Greensboro, Guilford County, North Carolina, 27497, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    Cybersecurity, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
  • Provide strategic leadership for the Privileged Access Management (PAM) platform, defining vision, roadmaps, and long-term evolution for credential vaulting, session management, secrets management, and least-privilege access across the enterprise
  • Lead teams responsible for securing privileged credentials and access paths, including account onboarding, rotation, session isolation, and policy enforcement for human and non-human identities
  • Drive modernization of PAM capabilities, transitioning from legacy, manually managed access models to automated, policy-driven, and API-integrated solutions aligned with Zero Trust principles
  • Guide adoption of Dev Sec Ops  and automation patterns for privileged access, including CI/CD integrations, secrets delivery, episodic credentials, and infrastructure-as-code enablement
  • Oversee vulnerability reduction and risk mitigation related to privileged access, including elimination of hard-coded credentials, shared accounts, excessive entitlements, and standing access
  • Partner closely with security architecture, IAM, cloud, infrastructure, and application teams to embed privileged access controls into platforms, pipelines, and operating models
  • Manage a team of engineers designing, implementing, documenting, and supporting highly complex PAM solutions spanning Cyber Ark, secrets management platforms, directory services, cloud IAM, and hybrid environments
  • Provide security consulting and design oversight for large enterprise initiatives to ensure privileged access patterns conform to information security policy, regulatory requirements, and audit expectations
  • Serve as a subject matter expert in PAM technologies and best practices, staying current on emerging threats, access models, and platform capabilities
  • Lead technical investigation and response for privileged access–related incidents, including root cause analysis and remediation recommendations to prevent recurrence
  • Ensure PAM controls support availability, confidentiality, integrity, access governance, monitoring, and incident response, while enabling business agility and developer productivity
  • Manage resource planning, prioritization, and financial stewardship for PAM engineering and platform investments
  • Mentor, develop, and retain engineering talent, building strong technical depth and leadership capability within the PAM organization
  • Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., Git Hub Copilot and approved code-centric agents)
  • Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
  • Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
  • Understand and account for model limitations, security risks, and operational considerations
  • Apply AI responsibly in development and production environments
  • Ensure AI usage aligns with security, compliance, privacy, and ethical standards
Requirements
  • 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of Leadership experience
  • Experience with Cyber Ark credential management system
  • Experience with Agentic AI identity frameworks like SPIFFE and SPIRE
  • Experience managing and developing high-performing Agile teams focused on Privileged Access Management, identity platforms, and security engineering solutions
  • Strong knowledge of Dev Sec Ops  patterns as they relate to privileged access, including secure CI/CD integration, automated credential delivery, secrets injection, and control enforcement
  • Hands-on understanding of Kubernetes and cloud-native environments from a privileged access perspective, including workload identity, service accounts, secrets distribution, and container access controls
  • Proficiency with cloud and hybrid architectures requiring secure privileged access, including integration with cloud IAM, secrets management platforms, and enterprise PAM tooling
  • Ability to drive engineering excellence in PAM through automation, policy-driven access, observability, and standardized onboarding patterns
  • Proven collaboration skills with IAM, security…
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