Qualifications
Minimum of 5 years of experience in backend or systems development; familiarity with Python or Go is a plus. Proven track record in developing distributed, cloud-based systems that are scalable, secure, and performant, with experience in AWS, GCP, or Azure. A strong interest in exploring new technologies and tools, particularly in AI and agentic AI, with a knack for transforming innovative ideas into functional systems. Self-motivated and responsible, with a commitment to excellence and continuous improvement. Excellent communication and collaboration skills, thriving in partnerships with various engineering teams to design and implement comprehensive, secure solutions.
About the job
Join us in developing essential infrastructure designed to secure AI agents, focusing on their identities, access behaviors, and interactions with sensitive systems and data. You will be pivotal in creating dynamic, intelligent solutions for ephemeral access control, secrets management, and agent/user identities that align with the modern agent ecosystem.
Your role will involve defining how both machine and human-facing agents authenticate, gain scoped access, execute secure actions, and maintain a verifiable audit trail.
This is a distinct opportunity to be part of a start-up within CyberArk, where you will help build the platform from the ground up at the forefront of AI, identity, and security innovation.
About CyberArk
About CyberArk:CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by enterprises worldwide to protect human and machine identities. Our AI-driven Identity Security Platform employs intelligent privilege controls throughout the identity lifecycle, ensuring continuous threat prevention, detection, and response. With our solutions, organizations can mitigate operational and security risks through the principles of zero trust and least privilege, enabling secure access for all users and identities across any resource, anywhere. Discover more at CyberArk.
