Sr. Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting)

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 seeking an experienced Senior Staff, Site Reliability Engineer to join our dynamic SRE Cloud Infrastructure & Operations team. In this high-impact role, you will report directly to the Director of Site Reliability Engineering and play a pivotal part in architecting, scaling, and maintaining our next-generation cloud infrastructure. You will bridge the gap between development and operations, ensuring our large-scale distributed systems are highly available, secure, and incredibly resilient.

What You’ll Do (Key Responsibilities)

• Architecting & Automating: Design, implement, and manage various advanced cloud management automations to eliminate toil and accelerate delivery
• Container Orchestration: Oversee and optimize containerized architectures using EKS and GKE to ensure robust production performance
• Observability Systems: Lead the creation, deployment, and optimization of highly scalable monitoring and alerting systems
• Cloud Operations & Incident Management: Own cloud operations, deployments, on-call support, and incident management while continuously designing and tuning Linux and BSD-based systems
• Cross-Functional Collaboration: Serve as a core member of cross-functional project teams, contributing to technology-based solutions and consulting on concept feasibility for new initiative

Who You Are (Success Profile)

• You Think at Scale: You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and architectures that are not just effective today, but are built to last and support a high-growth organization
• You are Driven by Innovation: You possess a deep curiosity for how things work and are energized by solving complex technical hurdles. You believe in the power of technology to accelerate transformation and consistently hunt for more secure, scalable methods
• You are a Problem-Solver: You actively seek out engineering challenges because you are energized by finding solutions, knowing that solving the hardest problems delivers the biggest business and customer impact
• You are Data-Driven: You lean on data and analytics to uncover engineering truths, measure what matters, and guide informed architectural decisions replacing “I think” with “I know.”
• You are a Learner: You have a true growth mindset and never stop developing your technical or leadership skills. You actively seek and implement feedback to become an exceptional collaborator and teammate

What We’re Looking For (Minimum Qualifications)

• AI & Automation Curiosity: Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
• Distributed Systems Experience: Minimum of 7 years of relevant experience in designing, analyzing, and troubleshooting large-scale distributed systems
• Technical Ecosystem Mastery: Deep hands-on experience with C, Java, GoLang, Python, Terraform, Ansible, Python automation, net…