zscaler · Bangalore, IND
Skills: Python, Java, Rust
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an exceptional hands-on architect and engineering leader to shape the next generation of enterprise agentic AI platforms at Zscaler in Bengaluru, India. Operating at the critical intersection of distributed systems, agentic AI, cloud infrastructure, and enterprise security, you will play a pivotal role in architecting and delivering an intelligent, production-grade platform that enables autonomous agents to reason, collaborate, leverage enterprise context, and execute secure actions across our global ecosystem. What you’ll do (Role Expectations) Architect and implement highly scalable, fault-tolerant, and low-latency distributed platforms powering enterprise AI agents Advance agentic AI capabilities, including production-grade multi-agent collaboration, tool execution, contextual intelligence, and automated workflows Establish reusable architectural patterns, foundational frameworks, and engineering…
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