Sr. Staff AI Security Systems Architect

Zscaler

Washington

Hybrid

USD 180.000 - 240.000

Vollzeit

14 Tage+

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Zusammenfassung

Zscaler is seeking a Sr. Staff Software Development Engineer-AI Security to join a Hybrid role based in San Jose, CA or Bellevue, WA with a 3 days in-office requirement.

You will design and implement core AI security infrastructure, scaling to hundreds of millions of users, collaborating across the lifecycle to deliver on high-impact security solutions. The role emphasizes building low-latency systems, improving performance for LLMs, and leading multi-team initiatives in a fast-paced AI security

Qualifikationen

  • Foundation in AI/ML concepts and applying AI-driven solutions within engineering domains.
  • 8+ years of software engineering experience.
  • Rust with async frameworks such as Tokio or async-std.
  • Design and implement scalable, observable distributed systems.
  • Strong Linux internals knowledge, networking, containers, and CI/CD workflows.

Aufgaben

  • Architect, develop, and optimize a low-latency, high-throughput AI Security plane using Rust and async I/O.
  • Build resilient, distributed, scalable systems with robust messaging and concurrency.
  • Implement and maintain gRPC services to integrate with orchestration infrastructure.
  • Profile and optimize performance across kernel-space and user-space components for large models.
  • Lead cross-functional projects, define technical roadmaps, and drive execution.

Kenntnisse

AI/ML basics
8+ years exp
Rust
Tokio / async-std
Distributed systems
Linux internals
CI/CD pipelines
Git workflows

Jobbeschreibung

Zscaler is seeking a Sr. Staff Software Development Engineer-AI Security to join a Hybrid role based in San Jose, CA or Bellevue, WA with a 3 days in-office requirement.

You will design and implement core AI security infrastructure, scaling to hundreds of millions of users, collaborating across the lifecycle to deliver on high-impact security solutions. The role emphasizes building low-latency systems, improving performance for LLMs, and leading multi-team initiatives in a fast-paced AI security

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