Staff Production Engineer

Zscaler accelerates digital transformation so customers can be more agile, efficient, resilient, and secure.

The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

We are looking for a Staff Production Engineer to join our team.

Role Expectations

• Design and implement highly available, scalable infrastructure across AWS, Azure, 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

• You thrive in ambiguity. You're comfortable building the path as you walk it.
• You act like an owner. Your passion for the mission fuels your bias for action.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself.
• You are a learner. You have a true growth mindset and are obsessed with your own development.

Minimum Qualifications

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions
• 8+ years of experience managing reliability, scalability, and availability for large-scale production services
• Strong background in networking protocols, Linux/FreeBSD 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

Preferred Qualifications

• Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
• Experience implementing AI-driven AIOps tools, machine learning models for anomaly detection, or predictive capacity planning
• Extensive experience with public cloud (AWS, Azure, GCP), Infrastructure-as-Code (Ansible, Terraform), and chaos engineering or disaster recovery planning at scale
• Expertise in global routing (BGP), traffic tunneling (GRE, IPSec), 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!