About the company
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 160+ public exchanges globally and thousands of private exchanges 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.
Responsibilities
- Lead the architecture, design, and delivery of large-scale control plane and platform services with a strong focus on scalability, availability, security, and operational excellence
- Drive complex cross-team technical initiatives, align stakeholders on architecture and execution plans, and ensure high-quality delivery against business and engineering priorities
- Identify and resolve system bottlenecks, reliability risks, and architectural gaps across distributed systems, improving performance, observability, and long-term maintainability
- Set a high technical bar through design reviews, code reviews, engineering best practices, and hands-on mentorship of senior engineers across the organization
- Evaluate and apply emerging technologies, including AI-assisted engineering workflows where appropriate, to improve developer productivity, system intelligence, and product delivery outcomes
Requirements
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- 3+ years of software engineering experience, including significant experience designing and building large-scale distributed systems and backend platform services
- Deep expertise in system design, microservices architecture, API design, data modeling, and operating highly available, fault-tolerant services in production environments
- Strong proficiency in one or more modern programming languages such as Java, Go, or Python, with a track record of delivering production-grade software
- Experience leading complex technical initiatives across multiple teams, driving architectural decisions, and influencing engineering direction beyond immediate team boundaries
- Strong understanding of cloud-native technologies, observability, reliability engineering, and secure software development practices
Conditions
- Base Pay Range: $115,500 - $165,000 USD
- The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.