Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting)
Zscaler is hiring a Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting) in Bengaluru, India. Level rates it ; you can apply on Zscaler.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Linux, Eks and Gke.
- Level classifies it as a lead role.
- Level lists 351 other open roles at Zscaler.
AI in this role
Staff Site Reliability Engineer to architect, scale, and maintain large-scale distributed cloud infrastructure and operations.
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 seeking an experienced 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)
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- Distributed Systems Experience: Minimum of 5+ years of relevant experience in designing, analyzing, and troubleshooting large-scale distributed systems
- Technical Ecosystem Mastery: Deep hands-on experience with SRE best practices, Python, Terraform, Ansible, Python automation, networking, Kubernetes, and AWS cloud
- Web Protocols & Security: Comprehensive understanding of web security and core protocols including HTTP, SSL/TLS, DNS, SQL, and networking fundamentals
- Observability Architecture: Proven experience in observability, building complex dashboards, managing Grafana, and maintaining a sharp understanding of SLIs, SLOs, and error budgets
- Modern DevOps Expertise: Strong DevOps skills across CI/CD pipelines, Source Control Management (SCM), builds/releases, and Continuous Integration tools/frameworks
What Will Make You Stand Out (Preferred Qualifications)
- Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency
- Advanced knowledge of Virtualization, Cloud Architecture, modern Cloud Services, and automated deployment methodologies
- A proven track record of resolving critical escalations and proactively preventing the reoccurrence of incidents through targeted process, monitoring, and reliability improvements
- Active contribution to OS/software packaging and distribution, alongside a passion for mentoring others on SRE best practices within the team
#LI-SK3
#LI-HYBRID
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. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
How we rate this
Staff Site Reliability Engineer (Linux/Network troubleshooting/Scripting) at Zscaler rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where site reliability engineering was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where container orchestration was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where incident management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Site Reliability Engineering, Cloud Infrastructure, Container Orchestration, Observability, and Incident Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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