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.
Role
We are looking for a Director, Site Reliability Engineering to join our team. This is a Hybrid (Bangalore) role, reporting to the VP, Engineering in the Cloud Infrastructure & Operations department.
In this role, you will lead our SRE teams in driving 99.99%+ availability across a cloud platform processing hundreds of billions of daily transactions. You will own system architecture, automated incident mitigation, and 24/7 operational reliability while scaling top engineering talent and aligning teams across India and global HQ.
What you’ll do (Role Expectations)
- Take end-to-end operational accountability for the availability, latency, and performance of Tier-0 and Tier-1 internally facing platforms and backend infrastructure
- Enforce multi-nines SLAs, SLOs, and error budgets across services while driving engineering initiatives to measurably reduce MTTD, MTTA, and MTTR
- Oversee capacity planning, resource forecasting, and efficiency efforts to ensure key infrastructure scales reliably
- Implement high-signal alerting frameworks and actionable runbooks, minimizing alert fatigue while ensuring zero unmonitored blind spots
- Lead Production Engineering across India, driving operational rigor while coaching technical leadership on strategy, decision-making, and organizational scaling
Who You Are (Success Profile)
- You act like an owner with a strong bias for action, operating with integrity, caring genuinely about outcomes, and navigating seamlessly between high-level strategy and hands-on execution.
- You are a high-trust collaborator who is ambitious for the team, embracing a challenge culture through ongoing, respectful feedback to build trust and accelerate shared success.
- You are customer-obsessed, building deep empathy for internal and external customers to anchor decisions in solving real-world problems and championing their needs from start to finish.
- You are driven by innovation and energized by solving complex technical challenges, bringing deep curiosity and a constant search for better, more secure, and scalable solutions.
- You lead with integrity, holding yourself and others to high standards of accountability while matching your words with consistent, transparent action.
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
- 12+ years of engineering experience, including 5+ years managing engineering managers and distributed teams, with a proven track record as a site leader scaling and inspiring teams
- Proven track record of operating effectively within globally distributed engineering teams, partnering closely with US-based leadership and stakeholders
- Deep understanding of modern observability architectures—including distributed tracing, high-cardinality metrics engines, distributed log indexing, and streaming telemetry pipelines (e.g., Kafka, OpenTelemetry, Prometheus, ClickHouse, Elasticsearch)
- Hands-on background architecting, deploying, and supporting hyper-scale cloud-native platforms running on Kubernetes and multi-cloud infrastructure
- Proven expertise in site reliability engineering principles, chaos testing, capacity planning, and automated incident triage
What Will Make You Stand Out (Preferred Qualifications)
- Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent practical experience
- Familiarity with high-volume data ingestion, backpressure management, real-time aggregation, and data lifecycle management
- Executive-level communicator adept at translating complex technical trade-offs for leadership, with high EQ, resilience under pressure, and a passion for developing people and engineering culture
#LI-SK3
#LI-HYBRID
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- 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.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
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.
Skills Required
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions within the functional domain
- 12+ years of engineering experience
- 5+ years managing engineering managers and distributed teams
- Proven track record as a site leader scaling and inspiring teams
- Experience operating within globally distributed engineering teams and partnering with US-based leadership and stakeholders
- Deep understanding of modern observability architectures, including distributed tracing, high-cardinality metrics engines, distributed log indexing, and streaming telemetry pipelines
- Hands-on experience architecting, deploying, and supporting hyper-scale cloud-native platforms on Kubernetes and multi-cloud infrastructure
- Expertise in site reliability engineering principles, chaos testing, capacity planning, and automated incident triage
- Ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent practical experience
- Familiarity with high-volume data ingestion, backpressure management, real-time aggregation, and data lifecycle management
- Executive-level communication skills for translating technical trade-offs to leadership
- High emotional intelligence, resilience under pressure, and passion for developing people and engineering culture
What We Do
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Why Work With Us
Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company. www.zscaler.com/culture
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Zscaler Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
