Sr. Staff Data Center Operations Engineer
Zscaler is hiring a Sr. Staff Data Center Operations Engineer in Singapore, Singapore. Level rates it ; you can apply on Zscaler.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classes it as a lead role.
- Zscaler has 357 other open roles on Level.
- Posted in the last few days.
AI in this role
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 Senior Staff Data Center Operations Engineer to join our team. This is a Hybrid role, reporting to the Datacenter Deployment Manager in the Network Infrastructure department. In this role, you will expand and optimize our global cloud security network by staging, provisioning, and maintaining high-performance bare metal hardware and infrastructure. You will collaborate closely with cross-functional engineering teams to validate build activities, troubleshoot complex staging environments, and continuously improve deployment processes.
What you’ll do (Role Expectations)
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Provision new hardware and network devices in a staging environment to expand and supplement the global network
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Troubleshoot issues within the build environment and repair or replace server and network components and infrastructure
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Collaborate with maintenance, network, install, and platform engineering teams to execute and validate build activities
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Engage and assist in optimizing data center deployment processes and workflows
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Visit the Singapore integration center as needed to manage physical infrastructure and validate staging readiness
Who You Are (Success Profile)
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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.
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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.
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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.
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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.
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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.
What We’re Looking for (Minimum Qualifications)
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Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
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7-10 years experience working in a hardware automation or build environment
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Experience translating cloud workload to bare metal platform requirements
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Deep understanding of various types of servers, network devices, configurations, and physical connectivity and their influence on platform performance
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Experience with Linux/Unix command line, BIOS, and out-of-band management solutions such as ILO, SAA, iDRAC, and IPMI
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Ability to occasionally lift and carry up to 50 lbs
What Will Make You Stand Out (Preferred Qualifications)
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Experience leveraging AI-driven predictive telemetry or automation tools to optimize hardware diagnostics and data center provisioning workflows
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Basic scripting capabilities in BASH or Python alongside experience with virtualization solutions such as KVM or Proxmox
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Familiarity with build automation technologies like Ansible or PXE boot and documentation tools such as Jira or Confluence
#LI-Remote
#LI-LK2
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
Sr. Staff Data Center Operations Engineer at Zscaler rates 38 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.
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