Senior Software Engineer (Be'er Sheva)– Secure AI Agent Access Platform (Python)
- באר שבע
- משרה קבועה
- משרה מלאה
(NASDAQ: ), is the global leader in . 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 , visit our CyberArk or follow us on , or .Job DescriptionWe'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.
- 5+ years of backend or systems development experience, primarily in Python.
- Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.
- Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) - bonus.
- Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).
- Exposure to identity and access management concepts - especially in zero-trust or dynamic runtime environments - is highly valuable.
- Experience building SDKs or developer-focused tools is a plus.
- A security-first mindset, attention to detail, and strong debugging/testing skills.
- Excellent communication and collaboration skills - you'll be interfacing with multiple engineering groups to deliver complete and secure solutions.