Sr. Staff Production Engineer

Bellevue, Washington, USA;
San Jose, California, USA

Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise
, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Here,
impact in your role matters more than title and trust is built on results. We say, impact over activity. We believe in transparency and value constructive, honest debate
—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession
, collaboration, ownership, and accountability.

We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.

We are looking for a Sr. Staff Production Engineer to join our team. This is a hybrid (3 days a week in San Jose, CA) or Bellevue, WA, reporting to the VP, Site Reliability Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform protecting over 15 million 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.

• 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, Open Telemetry), 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

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands‑on execution.
• You are a problem-solver. You love running towards the challenges because you are laser‑focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• 8+ years of experience managing reliability, scalability, and availability for large-scale production services with deep expertise in…