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CyberArk

Manager, Engineering – Secure AI agents

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    Tech Stack / Изисквания

     

    About CyberArk

    CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.

    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 and user identity tailored to the

    modern agent ecosystem.

    As the Manager, Engineering, you’ll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable

    audit trail — you’ll also be responsible for building and leading a high-impact engineering team from the ground up.

    This is a rare opportunity to combine hands-on engineering with technical leadership—writing critical code, mentoring engineers, sharing knowledge, and

    driving best practices—while building a platform from the ground up at the cutting edge of AI, identity, and security.

    Responsibilities

    • Lead the end-to-end development of a secure platform for managing AI agents’ identities, permissions, access control, and execution context.
    • Recruit, onboard, and mentor a team of engineers, shaping the team’s culture and technical direction.
    • Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
    • Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
    • Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
    • Ensure your team’s deliverables meet high standards of performance, resilience, and security in production.

    Qualifications

    • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
    • 3+ years of experience leading software engineering teams in a product-driven environment.
    • 5+ years of hands-on backend or systems development experience, using languages such as Python, Go, Java, or C#.
    • Experience—or a strong interest—in identity, authentication, authorization, or secrets management, and you’re excited to apply these principles to AI and agent frameworks.
    • You’re comfortable building cloud-native systems and working with modern infrastructure, CI/CD pipelines, and agile development practices.
    • You’re able to balance long-term architectural vision with fast-paced execution, especially in early-stage or high-growth environments.
    • Thrive in ambiguity, make high-impact technical decisions, and confidently guide others through complex tradeoffs.
    • Communicating clearly and effectively, aligning engineers, product managers, and stakeholders around technical direction.
    • You’re passionate about mentorship, knowledge sharing, and raising the technical bar across your team.
    • You’re self-driven, proactive, and organized, with a strong focus on delivering secure, scalable, and high-quality systems that make a real impact.


    What you will get:

    • Additional health insurance with dental treatment included
    • Life / permanent disability insurance
    • Sick Leave allowance
    • Mobile phone plan
    • FLEXBenefits wallet
    • Employee Assistance Programme (EAP)