15 часов назад
Software Architect (AI Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Architect (AI Cybersecurity): Leading the technical evolution of a next-generation AI cybersecurity platform by designing scalable cloud, data, and AI systems with an accent on secure distributed architectures, multi-tenant SaaS, and real-time event processing. Focus on validating new architectures through PoCs, integrating RAG and agentic workflows into production, and guiding engineering teams through complex design and scalability challenges.
Location: Tel Aviv, Israel
Company
provides an AI agent security platform with lifecycle visibility, governance, detection, prevention, and response across enterprise environments.
What you will do
- Partner with engineering teams to solve complex architectural and technical challenges.
- Design scalable, secure, maintainable, and reliable systems for the AI cybersecurity platform.
- Build and validate proofs of concept for new architectures, data platforms, AI capabilities, and emerging technologies.
- Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
- Lead architecture and design reviews focused on scalability, security, reliability, and operational excellence.
- Mentor engineers through hands-on collaboration, code reviews, and system design discussions.
Requirements
- 7+ years in a senior technical leadership role such as Principal Architect, Staff Engineer, or Lead Engineer.
- Strong experience designing and delivering large-scale distributed systems and cloud-native architectures in production.
- Background in cybersecurity, secure system design, cloud security principles, and enterprise compliance frameworks.
- Hands-on experience with AWS, GCP, or Azure, plus strong expertise in Kubernetes and containerized environments.
- Experience with modern data platforms, streaming architectures, and complex event processing for real-time workloads.
- Production experience integrating GenAI capabilities, including RAG pipelines, agentic workflows, or LLM-based integrations, and experience designing multi-tenant SaaS platforms.
Culture & Benefits
- Hands-on collaboration across engineering, product, and data science.
- Focus on AI-native engineering practices, including coding agents.
- Work on security and governance for enterprise-scale AI agent adoption.
- Platform trusted by Fortune 500 and Global 2000 enterprises.
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