About this role:

Wells Fargo is seeking a Principal Engineer for our Cybersecurity organization.

In this role, you will:

• Serve as the principal technical architect for Privileged Access Management strategy, architecture, engineering standards, and roadmap execution across human and non-human identities.
• Provide enterprise-wide leadership for CyberArk Enterprise Password Vault, Privileged Session Manager, Privileged Session Monitoring, Central Policy Manager, Credential Providers, AIM, CCP, Secure Infrastructure Access, and privileged account governance capabilities.
• Lead the design and modernization of privileged access services with a focus on eliminating standing privilege, implementing just-in-time access models, reducing credential exposure, and increasing automation of privileged account lifecycle management.
• Establish enterprise architecture patterns for privileged credentials, service accounts, shared administrative accounts, secrets management, privileged sessions, application authentication, and non-human identities.
• Drive strategic integration across CyberArk, HashiCorp Vault, Microsoft Entra ID, ServiceNow, Saviynt, Sphereboard, cloud platforms, and enterprise identity services.
• Define target-state architecture and engineering standards for credential onboarding, password rotation, session brokering, application secrets management, credential discovery, and privileged access automation.
• Partner with Cybersecurity, Infrastructure Engineering, Cloud Engineering, Application Development, Identity Management, and Risk organizations to implement scalable privileged access controls across the enterprise.
• Provide architectural oversight for large-scale PAM transformation initiatives including platform consolidation, vault modernization, privileged session expansion, non-human identity governance, and identity hygiene programs.
• Act as the senior technical advisor to executive leadership and influence long-term PAM strategy, security architecture decisions, risk reduction priorities, and investment initiatives.
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub 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

Required Qualifications:

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

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Desired Qualifications:

Job Expectations:

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

Posting End Date:

*Job posting may come down early due to volume of applicants.