Greenhouse ·
full-timeStaff Production Engineer
Zscaler · Remote - California, USA; San Jose, California, USA
Zscaler (NASDAQ: ZS) 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. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or Remote reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform processing 200+ billion transactions daily across tens of millions of enterprise users. 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. What you’ll do (Role Expectations) 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 Who You Are (Success Profile) You act like an owner with a bias for action and integrity. You are a pragmatic builder obsessed with creating, iterating, and shipping. You champion simplicity by distilling complex problems into clear, actionable plans. You are data-driven, valuing evidence over assumptions. You think at scale, building solutions and processes built to last a high-growth global organization. What We’re Looking for (Minimum Qualifications) Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving 3-5+ 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 What Will Make You Stand Out (Preferred Qualifications) Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency 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 #LI-Hybrid #LI-RT101 #LI-DY1 Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $152,000 — $190,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zs
| Role | Staff Production Engineer |
|---|---|
| Company | Zscaler |
| Location | Remote - California, USA; San Jose, California, USA |
| Type | internship |
| Compensation | Not disclosed |
| Posted | 2026-09-29 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Staff Production Engineer at Zscaler: frequently asked questions
- What is the salary for this role?
- Zscaler has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Staff Production Engineer position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote - California, USA; San Jose, California, USA as the location.
- What is the application deadline?
- Zscaler has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Staff Production Engineer role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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