🔒 PAM Engineer – CyberArk Certified
📍 Location: Remote / Hybrid Options
🕒 Contract: 6–12 Months (with extension potential)
🚀 Start Date: ASAP – Urgent Requirement
🌟 About the Role
We’re seeking an experienced and driven PAM Engineer to join a leading cybersecurity team working on enterprise-scale Privileged Access Management (PAM) solutions.
If you’re passionate about securing critical systems, implementing least privilege principles, and working hands-on with CyberArk, this is the opportunity for you.
🧩 Key Responsibilities
- Design, deploy, and manage PAM solutions such as CyberArk, BeyondTrust, or Delinea.
- Implement least privilege access models and enforce secure credential management practices.
- Monitor and audit privileged access activities across systems and applications.
- Integrate PAM tools with SIEM, IAM, and cloud security platforms.
- Develop and maintain policies, documentation, and access procedures.
- Conduct regular access reviews, privilege audits, and risk assessments.
- Work closely with IT, DevOps, and Security teams to ensure seamless PAM integration
🎯 Required Skills & Experience
- Recent hands-on PAM engineering experience (installation, configuration, administration).
- Strong proficiency with CyberArk (must-have), BeyondTrust, or Delinea.
- Solid understanding of Active Directory, LDAP, and authentication protocols.
- Experience with scripting and automation (PowerShell, Python).
- Familiarity with compliance frameworks such as ISO 27001, NIST, and GDPR.
- Excellent analytical, problem-solving, and documentation skills.
If you would like immediate consideration, please send me an updated CV/contact details to jcaria@redglobal.com so we can discuss further or reach out to me through LinkedIn.
PAM Engineer – CyberArk Certified - SC Cleared in London employer: RED Global
As a leading employer in the tech industry, we offer MLOps Engineers the opportunity to work in a dynamic and innovative environment in London, where cutting-edge technology meets collaborative teamwork. Our commitment to employee growth is reflected in our mentorship programmes and continuous learning initiatives, ensuring that you can advance your career while contributing to impactful projects. With a strong focus on work-life balance and a culture that values creativity and diversity, we provide a rewarding workplace for those looking to make a difference in the field of machine learning.
