Sr. Staff Site Reliability Engineer

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 7+ years of Production Engineering, Platform Engineering, or Infrastructure Engineering experience in a Cloud or hybrid environment
• Deep Linux/Unix systems mastery — OS internals, kernel networking, boot pipelines and low-level system debugging
• Hands-on operational experience across GCP and/or AWS alongside on-prem datacenter operations, with a working command of infrastructure-as-code tooling (Terraform, Ansible) for both environments
• Expertise building durable, idempotent, and repeatable automation using Python and/or Go

What Will Make You Stand Out (Preferred Qualifications)

• Experience implementing AIOps, AI-driven predictive scaling, or automated anomaly detection to optimize cloud infrastructure performance and reliability
• Experience building or operating stateful orchestration systems using Temporal.io, Cadence, or equivalent
• Built and scaled a full observability stack from scratch

#LI-Hybrid #LI-GL2

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.

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.