Production Engineer

Summary

Zscaler is an AI-forward enterprise focused on digital transformation and cybersecurity. They are seeking a Production Engineer to enhance the reliability of their global platform while driving an automation-first culture across the company.

Responsibilities

• 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

Skills

• 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
• Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform, Helm, Temporal)
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform, Helm, Temporal)
• 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

Benefits

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