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Zscaler
Principal Production Engineer
engineeringfull-timeRemote - California, USA; San Jose, California, USA
SALARY
Not listed
WORK TYPE
hybrid
JOB TYPE
full-time
INDUSTRY
ai
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About the role
Role
We are looking for a Principal 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)
- Design and 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)
- 10+ 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
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