Company Description

About CyberArk:

CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

We’re building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.

You’ll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.

This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

• Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
• Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
• Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
• Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
• Write clean, maintainable, and scalable code that powers some of the world’s largest and most security-conscious companies.
• Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.
  
  
  

Qualifications

• You bring 5+ years of experience in backend or systems development. Experience with Python or Go is an advantage.
• You’ve built distributed, cloud-based systems that are scalable, secure, and high-performing, and you’re comfortable working with AWS, GCP, or Azure.
• You’re naturally curious and passionate about exploring new technologies and tools, especially in AI and agentic AI, and you love turning emerging ideas into real systems.
• You’re proactive, take ownership of your work, and constantly strive for excellence and improvement in everything you do.
• You communicate and collaborate effectively, enjoying close partnerships with multiple engineering teams to design and deliver complete, secure solutions.