Staff Production Engineer

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 Sr. Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or Remote reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform processing 200+ billion transactions daily across tens of millions of enterprise users.

In this role, you will provide the technical vision and hands-on execution to drive an "automation-first" culture across the company. By maturing our observability and architectural standards, you will directly reduce our Mean Time to Mitigate (MTTM) and shape the scalability of our globally distributed, multi-cloud infrastructure.

What you’ll do (Role Expectations)

Implement highly available, scalable infrastructure across AWS, GCP, and bare-metal environments

Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems

Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets

Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses

Partner with Engineering and partner teams to conduct operability reviews

Who You Are (Success Profile)

You act like an owner with a bias for action and integrity.

You are a pragmatic builder obsessed with creating, iterating, and shipping.

You champion simplicity by distilling complex problems into clear, actionable plans.

You are data-driven, valuing evidence over assumptions.

You think at scale, building solutions and processes built to last a high-growth global organization.

What We’re Looking for (Minimum Qualifications)

Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving

3-5+ years of experience managing reliability, scalability, and availability for large-scale production services

Deep expertise in programming (e.g., Python, Go, or C/C++)

Strong background in networking protocols, Linux/RHEL systems, and distributed architecture

Experience in high-stakes incident management and participation in a 24/7 on-call rotation

Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews