Sr. Staff Production Engineer

Zscaler•San Jose, CA

6h•Hybrid

About The Position

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. We are looking for a Sr. Staff Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or as a remote position, reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform protecting over 15 million 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.

Requirements

8+ 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/FreeBSD 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

Nice To Haves

Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform)
Experience with chaos engineering and disaster recovery planning at scale
Expertise in global routing (BGP) and traffic tunneling (GRE, IPSec) with a deep understanding of L7 proxy architectures (HAProxy), DNS at scale, and OS networking stack internals

Responsibilities

Design and implement highly available, scalable infrastructure across AWS, Azure, 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