Sr. Staff Software Development Engineer-AI Security (Network, Security, LLM)

Zscaler; Washington; Hybrid; USD 190,000 - 260,000; Full time

Job summary

Zscaler is hiring a Sr. Staff Software Development Engineer-AI Security in a hybrid role based in the San Jose, CA or Bellevue, WA area. You will design and scale core AI security infrastructure, focusing on high-throughput, low-latency systems and secure integration with control planes.

Build distributed services with Rust, Tokio/async-std, and gRPC, collaborating across teams to push AI security capabilities. 8+ years of experience and strong Linux expertise are required.

Qualifications

• 8+ years of software engineering experience.
• Foundational understanding of AI/ML technologies and AI-driven solutions.
• Deep experience in systems programming using Rust with asynchronous frameworks.
• Proven ability to design horizontally scalable, highly available distributed systems.
• Strong command of Linux internals, networking, and performance instrumentation.

Responsibilities

• Architect and implement low-latency AI Security plane in Rust.
• Build distributed, scalable systems with concurrency and fault tolerance.
• Implement and maintain gRPC services and APIs for integration with control infrastructure.
• Optimize performance of LLMs and system stack with profiling tools.
• Lead complex projects and drive technical roadmaps across teams.

Skills

Rust programming

Distributed systems

Linux internals

AI/ML basics

Asynchronous frameworks

CI/CD pipelines

gRPC

Linux performance tools

Tools

Tokio

async-std

Git

CI/CD tooling

Docker

Kubernetes

Job description

About Zscaler

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate-we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

Role

We are looking for a Sr. Staff Software Development Engineer-AI Security to join our team. This is a Hybrid (based in San Jose, CA or Bellevue, WA with a 3 days in office requirement) role, reporting to the Director of Software Engineering in the Emerging Tech department. You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence.

What you’ll do (Role Expectations)

• Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture
• Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols
• Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure
• Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components
• Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 8+ years of software engineering experience
• Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std
• Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems
• Strong command of Linux internals (including kernel-user space interaction, networking, sockets, and namespaces) combined with skill in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines