Senior IAM Engineer
cyberunity AG
Develop and operate hybrid identity and access management solutions for enterprise customers. Automate integrations at cyberunity AG, a Swiss IT and information security provider.
Deschide
501 – 1.000 Angajați
Sponsor pentru viza de lucrător calificatAlimente și băuturiIndustria prelucrătoareLogisticăClaroty dezvoltă software de securitate cibernetică pentru sisteme ciberfizice care susțin servicii esențiale și operațiuni industriale. Platforma sa ajută organizațiile să obțină vizibilitate asupra activelor conectate și să gestioneze expunerea la riscuri cibernetice, să protejeze rețelele, să ofere acces securizat și să detecteze amenințări. Activitatea Claroty acoperă domeniile sănătății, producției, alimentelor și băuturilor, logisticii și infrastructurii critice. Compania deservește clienți din întreaga lume de la sediul său din New York și angajează oameni într-o echipă globală.
Backend Software Engineer, AI Platform at Claroty (Israel, Hybrid)
Build Python and LLM-based backend systems for Claroty’s cyber-physical security platform. Bring production AI capabilities to cloud and on-premises cybersecurity environments.
Descriere
- Build high-performance backend systems and production AI solutions for critical cyber-physical environments
- Address complex architecture, networking, and data challenges
- Bring LLM and AI technologies into the core product platform
- Own complex features from initial architecture through global deployment
- Build scalable architectures for cloud and on-premises environments
- Develop and deploy production LLM applications, RAG systems, and AI agents
- Create natural language interfaces and automated security workflows
- Use Cursor, Claude, or GitHub Copilot in daily engineering work
- Advance engineering practices, system resilience, and clean code architecture
Cerințe
- At least five years of hands-on server-side backend design and development experience
- A strong record of building complex production applications in Python
- Practical experience developing and deploying production LLM applications, RAG systems, AI agents, or natural language interfaces
- Experience building distributed, highly available, large-scale systems that handle real-time data traffic and networking protocols
- Proficiency with AI development tools, particularly Cursor and Claude, for software workflows and root-cause defect analysis
- Cloud-native experience with AWS, Azure, or GCP, Docker, and Kubernetes is a plus
- Cybersecurity experience in ZTNA, IAM, or VPN is a plus
- Strong networking and security knowledge, including TCP/IP, SSH, RDP, and encryption, is a plus
Beneficii
- Remote or hybrid work arrangement
- Equal opportunity workplace
- Special accommodations available upon request throughout the selection process
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