Production Engineer

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., Python, Go, or C/C++)
• Strong background in networking