Senior Software Engineer (Be'er Sheva) – Secure AI Agent Access Platform (Python)

1 Month ago • All levels • Devops

Job Summary

Job Description

We are building foundational infrastructure to secure AI agents, focusing on their identities, access patterns, and interactions with sensitive systems and data. This involves designing dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored for modern agent frameworks like LangChain, LangGraph, Semantic Kernel, and AutoGen. You will define how agents authenticate, receive scoped access, perform actions securely, and leave a verifiable audit trail. This is a startup opportunity within the company to build a cutting-edge platform at the intersection of AI, identity, and security.
Must have:
  • Develop secure, scalable Python services
  • Implement JWT-based authentication
  • Build SDKs for agent frameworks
  • Collaborate with architects/engineers
  • Ensure secrets are managed securely
  • Write thorough tests and documentation
  • Work with internal teams

Job Details

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 modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

You’ll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind 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:

  • Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
  • Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
  • Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
  • Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
  • Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
  • Write thorough tests and maintain high-quality, well-documented code.
  • Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.

#LI-Hybrid

#LI-SR1

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About The Company

CyberArk's mission is to secure the world against cyber threats so together we can move fearlessly forward. CyberArk is a global leader in identity security, helping organizations worldwide protect their most valuable assets and critical infrastructure. They offer a comprehensive platform that addresses the evolving challenges of identity-related risks, providing solutions for workforce access, privileged access, customer access, and machine identity security. CyberArk is committed to innovation and providing cutting-edge security solutions that empower their customers to be more secure and efficient.

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