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 Manager, Site Reliability Engineering to join our team. This is a Hybrid (Bangalore) role, reporting to the VP, Site Reliability Engineering in the Engineering department.

In this role, you will lead a team of Production Engineers responsible for the reliability, scalability, and operational excellence of our global platform. You will provide the technical leadership and execution rigor to drive an automation-first and reliability-focused engineering culture. By maturing observability, operational readiness, and architectural standards, you will help reduce Mean Time to Mitigate (MTTM) and improve the resilience of a globally distributed, multi-cloud infrastructure protecting millions of users.

What you’ll do (Role Expectations)

Lead and grow a team of Production Engineers responsible for the reliability, availability, and scalability of large-scale production services
Drive an automation-first culture by guiding the team to eliminate manual toil, improve workflows, and build resilient, self-healing tools and systems
Implement and mature observability practices, including monitoring, alerting, SLIs/SLOs, and error budgets to improve service health and operational decision-making
Lead high-severity incident response, strengthen response playbooks, and drive deep post-incident reviews that result in durable engineering improvements
Partner with Engineering and cross-functional teams to conduct operability reviews and influence architecture and service design for scale, resilience, and maintainability

Who You Are (Success Profile)

Acts as an owner with an authentic passion for operational excellence and a strong bias for action, navigating seamlessly between high-level strategy and tactical execution.
Fosters a high-trust, collaborative environment that values transparent feedback, healthy debate, and shared team success above individual accolades.
Champions the customer experience by anchoring engineering decisions in solving critical, real-world problems for both internal stakeholders and external users.
Brings deep technical curiosity and an innovative mindset to solve complex architectural challenges, continuously seeking more resilient, automated, and scalable solutions.
Leads with unwavering integrity and high accountability, cultivating trust across organizations through transparent communication and consistent follow-through.

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
8+ years of experience managing reliability, scalability, and availability for large-scale production services
4+ years of people management experience leading engineering, SRE, or Production Engineering teams
Strong technical background in production engineering, infrastructure, or site reliability, with proficiency in programming using Python, Go, or similar