Zenity
Zenity
Zenity एआई एजेंटों और एप्लिकेशनों के लिए सुरक्षा तकनीक विकसित करती है, जो निर्माण के समय से लेकर रनटाइम तक पूरे जीवनचक्र को कवर करती है। इसका SaaS प्लेटफ़ॉर्म एप्लिकेशन सुरक्षा नियंत्रणों को एआई सिक्योरिटी पोस्टचर मैनेजमेंट के साथ जोड़ता है, ताकि उद्यम अप्रत्यक्ष प्रॉम्प्ट इंजेक्शन, डेटा लीक और गवर्नेंस की कमियों जैसे जोखिमों से निपट सकें। Zenity सुरक्षित लो-कोड और नो-कोड विकास को सक्षम बनाती है और संगठनों को एआई एजेंटों व ऑटोमेशन के लिए अनुपालन तथा परिचालन निरंतरता बनाए रखने में सहायता करती है। इसके उद्यम ग्राहक प्रौद्योगिकी, स्वास्थ्य सेवा, वित्त, लॉजिस्टिक्स और अन्य उद्योगों में फैले हुए हैं।

Senior Software Architect, AI Security | Zenity (Hybrid, Israel)

Zenity is seeking a Senior Software Architect to advance its AI agent security platform. The role focuses on scalable cloud, data, and AI architecture for secure enterprise production systems.

विवरण

  • Collaborate with engineering teams on complex architectural challenges and lead the design of scalable, secure, maintainable systems
  • Develop and validate proofs of concept for new architectures, data platforms, AI capabilities, and emerging technologies
  • Set technical direction across engineering, product, and data science, translating new technologies into production-ready solutions
  • Lead architecture and design reviews focused on scalability, reliability, security, and operational excellence
  • Support engineer growth through hands-on collaboration, code reviews, and system design discussions while advancing AI-native engineering practices

आवश्यकताएँ

  • At least 7 years in senior technical leadership, such as Principal Architect, Staff Engineer, Lead Engineer, or an equivalent role, with a strong record of delivering production systems
  • Advanced expertise in large-scale distributed systems, data processing pipelines, and cloud-native architecture
  • Strong cybersecurity and secure systems design experience; experience with SaaS or cybersecurity products is a significant advantage
  • Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments
  • Demonstrated experience implementing scalable agentic architectures, orchestration frameworks, and evaluation pipelines for production AI systems
  • Experience balancing latency, cost, reliability, and security when serving AI and agentic workloads at scale
  • Familiarity with agentic AI frameworks and modern AI-native engineering practices, including coding agents and AI-assisted software development
  • Experience designing and building multi-tenant SaaS platforms with robust isolation and scalability
  • Familiarity with Bring Your Own Cloud or comparable enterprise deployment models
  • Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate across engineering teams

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