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 a Principal Software Development Engineer to join our team. This is a Hybrid role for Santa Clara CA, reporting to the Senior Director, Software Development Engineering in the Customer/Cloud Reliability Software Engineering department. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

Lead and scale the engineering team responsible for performing deep troubleshooting across OS, networking, and distributed systems while codifying learnings into standardized diagnostics and automation for the Zero Trust Branch platform
Champion the development of AI-based solutions and supportability tools focusing on internal detection and reduction of triaging time
Partner with cross-functional product and engineering teams to drive reliable, scalable cloud security solutions for global customers

Who You Are (Success Profile)

A visionary technical leader who can define and execute a clear strategy for cloud and customer reliability tools.
A collaborative partner capable of aligning technical strategies with product management to shape a robust, customer-centric product roadmap.
A dedicated mentor passionate about cultivating a high-performing engineering culture centered on learning and collaboration.
A critical thinker with a passion for diagnosing, troubleshooting, and solving complex, distributed systems issues at scale.
An outcome-oriented driver who seamlessly partners with cross-functional engineering teams to guide and deliver industry-leading platform reliability.

What We’re Looking for (Minimum Qualifications)

Foundational understanding of AI/ML technologies, with experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain.
Experience leading software development, software sustenance engineering, or customer escalation engineering teams.
Technical proficiency in Python, Go, and Linux systems, with hands-on experience in network security products, routing, switching, DHCP, and DNS; SD-WAN, micro-segmentation, and SASE/SSE experience is a plus.
Proven track record developing troubleshooting and monitoring automation, driving root-cause resolution, and partnering with product engineering to deliver automated remediation.
Experience as a reliability engineer/developer, partnering with other engineering teams to deliver reliable solutions that advance industry-leading reliability of the Zscaler Cloud.
Skilled in customer issue debugging and root-cause closure, driving post-incident actions to permanent fixes by partnering with product engineering to build diagnosable-by-design capabilities (SDKs, templates, standards) and deliver automated prevention and remediation.