Production Engineer

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a 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 - 1-3 years of experience managing reliability, scalability, and availability for large-scale production services - Deep expertise in programming (e. g.