Sr. Staff Software Engineer (Reliability)

About Zscaler 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 seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. 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. Role We are looking for a Sr. Staff Software Engineer to join our team. This is a Hybrid (three days a week onsite) in San Jose, CA role, reporting to the VP of Engineering in the Service Platform Automation department. In this high-ownership position, you will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. You will initially focus on leading the architectural transformation of legacy scripts into a safe, deterministic, Temporal-based orchestration platform to achieve "one-touch" provisioning. As you scale the platform, you will expand the team’s mission into AI SRE practices, applying software engineering to identify and solve systemic inefficiencies and build self-healing capabilities across our global fleet. What you’ll do (Role Expectations) Drive the migration from legacy scripts to a Temporal-based platform, engineering replay-safe workflows with built-in retries, idempotency, and safe rollback designs for one-touch fleet operations Identify and solve systemic inefficiencies across our global fleet, engineering technical solutions needed to make our operations more autonomous Build systems that leverage LLMs and ML for intelligent triage, global signal correlation, and automated runbooks to eliminate manual toil Develop framework-type services for feature teams, ensuring all new products are delivered "automation-ready" with reliability hooks built directly into the code Ensure every fleet-wide action is fully explainable, replayable, and auditable by implementing comprehensive metrics, traces, and event logging Who You Are (Success Profile) 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 te