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Zscaler

Production Engineer

Zscaler

Production Engineer at Zscaler ensuring reliability and scalability of a cloud-native platform processing billions of transactions daily. Collaborates across teams while driving an automation-first culture.

Posted 6/30/2026full-timeSan Jose • California • 🇺🇸 United StatesJunior💰 $102,400 - $128,000 per yearWebsite

Tech Stack

Tools & technologies
AWSGoGoogle Cloud PlatformGrafanaLinuxPrometheusPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 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

Benefits

Comp & perks
  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

ATS Keywords

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Hard Skills & Tools
PythonGoC/C++Networking ProtocolsLinux/RHEL SystemsDistributed ArchitectureIncident ResponseService ReliabilityAutomationProblem Management
Soft Skills
CuriosityCollaborationAnalytical ThinkingCommunication