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Zscaler

Secures workforce access to apps and the internet

Staff Software Development Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$152k - $190k

About the Job

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.
  • At least 5 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.

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 Agentic AI and AI-assisted engineering workflows where appropriate, to improve developer productivity, system intelligence, and product delivery outcomes.

Desired Qualifications

  • Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency.
  • Experience applying AI-forward engineering practices, such as developer copilots, intelligent automation, AI-assisted incident analysis, or machine-learning/large-language-model-powered platform capabilities, to improve engineering productivity or product outcomes.
  • Experience building control plane, policy, identity, security, or other mission-critical platform systems in a SaaS or cybersecurity environment, with Kubernetes, PAM, and IGA.
  • Experience mentoring senior engineers and serving as a recognized technical leader for architecture, operational excellence, and engineering standards across an organization.

About the Company

Zscaler

Secures workforce access to apps and the internet

Zscaler builds cloud security software for organizations that need to protect employees, applications and data across offices and remote locations. Its Zero Trust Exchange checks the identity and context of each connection, inspects traffic for threats and applies access rules set by security teams. Zscaler Internet Access protects web and cloud application traffic, while Zscaler Private Access connects authorized users to specific internal applications without a VPN. Organizations buy subscriptions priced primarily by the number of users and metered usage, with related support services included in the business. Zscaler was founded in 2007 and is headquartered in Santa Clara, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2007

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