Director, Software Development Engineering - Networking, Security

Zscaler•San Jose, CA

4d•Hybrid

About The Position

About Zscaler Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of 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 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 make a positive difference on a global scale, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. We're looking for an experienced Director of Engineering to join our team. Reporting to the VP of AI Engineering, this is a hybrid role requiring 3 days per week in our San Jose, CA office. You will be responsible for:

Requirements

BS/MS in Computer Science or a related engineering/technical field
15+ years of experience in technical roles in development or enterprise services, at large organizations or innovative startups
Strong domain expertise in distributed architectures, including scaling both horizontally and vertically
Experience with high-performance network and security platforms, user authentication mechanisms, and distributed systems
Knowledge of Agile cloud lifecycle deployment, CI/CD automation frameworks

Nice To Haves

Execution: Proven track record of delivering products at startup speed.
Proven ability to nurture innovation and successfully mentor and coach cross-geographic teams
Deploying AI inferencing systems at cloud scale, CUDA, GPU’s, VLLMs
Executive presence with exceptional Product, People, and Process management skills

Responsibilities

Driving a results-oriented culture focused on execution, quality, and speed
Evangelizing the product vision internally and externally, while representing the company, product, and team at all levels
Collaborating closely with Product Management to develop and deliver on product roadmaps
Recognizing process and product gaps early and driving substantial improvements
Prioritizing service stability features along with innovation and platform features