Top Engineering Jobs

The Principal Software Development Engineer will design enterprise-grade Identity Management Products, mentor junior engineers, and collaborate across teams on projects.

Design and implement high-performance macOS and iOS client applications and frameworks to securely route traffic to Zscaler's cloud. Collaborate with product managers, ensure performance, quality, and responsiveness, maintain coding standards and automation, and act as a technical escalation point to troubleshoot and resolve complex customer issues.

The Senior Staff Production Engineer will design scalable infrastructure, drive automation efforts, manage incident response, and partner with teams to ensure service reliability and maturity.

The role involves designing and implementing scalable backend services, ensuring code quality, mentoring junior engineers, and supporting engineering platforms.

As a Staff Software Development Engineer at Zscaler, you'll develop cloud security solutions using Java, Python, and Go, focusing on microservices and real-time analytics, while collaborating with cross-functional teams.

Develop and enhance cloud security solutions in a hybrid team, focusing on scalable applications and user experience while driving high-impact results.

The role involves developing secure connectivity solutions using C++ and C# on Windows platforms, focusing on code quality and testing for the Zscaler Client Connector team.

The role involves onboarding cybersecurity data sources, mapping and normalizing data, customizing workflows, and collaborating with teams to enhance security measures.

Lead and architect reusable UI frameworks and component libraries using React and TypeScript. Define design-system roadmap with cross-functional teams, build scalable component frameworks and next-gen build systems, mentor engineers, and optimize accessibility, performance, and usability of UI components.

The Sr. Staff Software Engineer will lead the migration to a Temporal-based orchestration platform, enhance automation, and improve reliability across Zscaler's global fleet, leveraging AI and ML for operational efficiency.