Principal Information Security Engineer
Confirmed live in the last 24 hours
Zscaler
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 Principal Information Security Engineer to join our Product Security Team. This is a hybrid role based in Bangalore, reporting to the Sr. Director, Information Security. You will lead the design and implementation of secure architectures for AI/ML components integrated into Zscaler's cloud security products while developing a strategic roadmap that aligns with our product vision and the evolving threat landscape.
What you’ll do (Role Expectations)
- Lead the design and implementation of secure architectures for AI/ML components and features integrated into cloud security products
- Develop a strategic roadmap for AI/ML product security that aligns with business objectives and threat evolution
- Conduct specialized threat modeling for AI/ML features to identify vulnerabilities like adversarial attacks, data poisoning, and prompt injection
- Perform comprehensive security risk assessments of AI/ML initiatives and drive remediation within development cycles
- Collaborate with data scientists and product management to embed security controls throughout the MLOps lifecycle
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)
- 10+ years of progressive experience in Information Security with at least 5 years in a dedicated Security Architecture role
- 3+ years of direct experience securing AI/ML systems and data within commercial software or large-scale SaaS offerings
- Proven expertise in designing and securing large-scale distributed systems on public cloud platforms like AWS, Azure, or GCP
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