# Sr. Production Engineer

**Company**: Zscaler
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $115,500-$165,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/zscaler/jobs/5271575007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e05ac25d-95d

## Description

We are looking for a Sr. Production Engineer to join our team. This is a hybrid role, reporting to the Senior Manager, Site Reliability Engineering in the Cloud Infrastructure & Operations department.

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.

Responsibilities:

- 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

Requirements:

- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions

- 4 years of experience managing reliability, scalability, and availability for large-scale production services with deep expertise in programming (e.g., Python, Go, or C/C++)

- 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 through systematic problem management and technical operability reviews

Benefits:

- Various health plans

- Time off plans for vacation and sick time

- Parental leave options

- Retirement options

- Education reimbursement

- In-office perks, and more!

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- AI/ML
- Python
- Go
- C/C++
- Prometheus
- Grafana
- OpenTelemetry
- Linux
- FreeBSD
- Networking protocols
- Distributed architecture
- ITIL frameworks

### Nice to have
- AI technologies
- AIOps tools
- Machine learning models
- Anomaly detection
- Predictive capacity planning
- Public cloud
- Infrastructure-as-Code
- Chaos engineering
- Disaster recovery planning

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/zscaler/jobs/5271575007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
