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 Engineer - Intelligent Data Platform to join our team. This is a hybrid role (in office, minimum 3 days per week in Santa Clara, CA), reporting to the Director, Software Development Engineering in the Cloud Data Platform team. We are seeking an experienced Principal Software Engineer, where your deep understanding of cloud-based data platforms and proven track record in building and scaling high-performance systems will be pivotal. In this role, you will lead the development of our core data platform, shaping its design, implementation, and evolution to meet our dynamic business needs.

What You’ll Do (Role Expectations)

Lead the design, architecture, and development of our multi-tenant, cloud-based data platform, collaborating with cross-functional teams to define and implement scalable, secure, and high-performance solutions
Partner closely with product management and stakeholders to align long-term technical strategies with business goals, actively contributing to the product roadmap and translation of requirements into execution plans
Evaluate, establish, and optimize engineering processes, agile methodologies, and best practices to enhance development efficiency, delivery speed, and code quality
Drive engineering and operational excellence to ensure 4-9s system availability 24/7 in a full DevOps model, implementing robust solutions for system reliability, fault tolerance, automation, and rapid resolution of customer issues
Explore emerging and cross-provider cloud technologies to keep the platform versatile and leading-edge, while mentoring junior engineers to champion inclusive collaboration and technical excellence

Who You Are (Success Profile)

You act like an owner. Your passion for the mission fuels your bias for action, operating with integrity, and navigating seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You seek out complex challenges and are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, giving and receiving ongoing candor with clarity and respect to build strong trust.
You operate with urgency. You deliver high-impact results quickly in a high-growth environment, balancing speed and quality to win for our customers.
You are resilient and adaptable. You view change as an opportunity, maintaining composure and focus in high-pressure situations to guide your team through complexity.

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
10+ years of software engineering experience, specializing in building and managing large scale cloud-based data platforms with expertise in distributed systems and data architecture
Demonstrated experience driving cross-team technical programs to delivery, including owning design reviews, resolving cross-functional blockers, and producing clear architectural guidance