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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in implementing scalable infrastructure across AWS and GCP, with a strong focus on automation through programming in Python and Go. Proven ability to manage incident response and enhance service reliability using observability tools like Prometheus and Grafana.

Highest-signal resume keywords

AWS Infrastructure ManagementGCP Infrastructure ManagementPython ProgrammingIncident ManagementObservability Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonGoC/C++Networking ProtocolsLinux/RHEL SystemsDistributed ArchitectureIncident ResponseService ReliabilityAutomationProblem Management

Soft Skills

CuriosityCollaborationAnalytical ThinkingCommunication

Tools & Technologies

PrometheusGrafanaOpenTelemetryITIL Frameworks

Industry Keywords

ScalabilityAvailabilitySelf-Healing SystemsError BudgetsSLIs/SLOs

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!