Manager, Site Reliability Engineer (Production Engineering)

About the role

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

• Strong foundation in networking protocols, Linux systems, and distributed architecture

• Experience leading high-stakes incident management in a 24/7 on-call environment and using structured operational practices to drive service maturity

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency

• Experience driving reliability programs involving capacity engineering, disaster recovery, chaos engineering, and resilience testing

• Deep technical understanding of networking protocols, global routing, traffic tunneling, DNS at scale, and proxy architectures, with demonstrated success scaling high-performing engineering teams

#LI-SK3

#LI-HYBRID

• Various health plans

• Time off plans for vacation and sick time

• Parental leave options

• Retirement options

• Education reimbursement

• In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.