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Zscaler

Computer and Network Security · 9.6k people

Staff Site Reliability Engineer (Production Engineer)- Federal

Posted 8 Oct

What’s this role about? You will own the systems-level reliability and performance of high-throughput bare-metal and cloud infrastructure. Responsibilities include leading incident response, automating infrastructure lifecycle management, and maintaining high availability across global fleets.

Short Hills, New Jersey
Hybrid
$119K – $170K
Full-time
5-10 years exp

Skills required

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Company

About Zscaler Zscaler (NASDAQ: ZS) is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across 160+ data centers globally, the Zscaler Zero Trust Exchange™ platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity. Stay Connected: LinkedIn: https://www.linkedin.com/company/zscaler Twitter: https://www.twitter.com/zscaler Facebook: https://www.facebook.com/Zscaler/ Instagram: https://www.instagram.com/zscalerinc/

Zscaler

Zero TrustSASECloud SecurityCASBSecure Web GatewaysSecure Remote AccessCloud SandboxCloud FirewallCSPMWorkload Segmentation
ZZscaler logo
5,001-10,000 employees
Computer and Network Security
Public Company
538k LinkedIn followers
Raised $1.7B

Responsibilities

  • We are looking for a Staff Site Reliability Engineer (Production Engineer) to
  • join our team. This is a hybrid role (onsite three days a week in San Jose, CA
  • or another Zscaler office; remote can be considered for exceptional candidates)
  • reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust
  • Exchange department.
  • As a key member of the Zero Trust Exchange team, you will own the systems-level
  • reliability and performance of Zscaler’s high-throughput bare-metal and cloud
  • infrastructure processing tens of billions of daily transactions across a
  • global, multi-region fleet. This is a software-first SRE role: you will write
  • production-grade code and automation, drive the shift from reactive incident
  • response, and bring engineering discipline to the systems-level work - OS,
  • network and application debugging - that keeps the fleet operating safely at
  • scale.
  • Maintain high availability across large-scale bare-metal Linux/BSD fleets,
  • Kubernetes clusters, and custom routing stacks in partnership with
  • Engineering and Networking teams
  • Lead full-cycle incident response by conducting cross-stack troubleshooting
  • using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat,
  • gdb), maintain high availability across large-scale bare metal Linux /BSD
  • fleets and Kubernetes clusters
  • Automate infrastructure lifecycle management, service provisioning,
  • configuration workflows, and release deployments using Ansible, Python, and
  • Go; quantify operational toil and convert recurring manual work into durable,
  • version-controlled, testable automation — tracking reduction as an
  • engineering outcome
  • Own end-to-end telemetry (metrics, logs, traces) using Prometheus and
  • OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce
  • alert noise
  • Perform architectural reviews, OS/kernel upgrades, capacity and performance
  • tuning, strict CI/CD validation prior to production rollouts; embed
  • operability standards (telemetry, rollback safety, SLO readiness) into
  • service design from the start

Qualification

TechnologySoftwareEngineeringSecurity & Safety

Required

  • You thrive in ambiguity. You're comfortable building the path as you walk it,
  • 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
  • 5+ years of experience in Site Reliability Engineering, Production
  • Engineering, or Systems Engineering operating high-scale, low-latency
  • production platforms
  • Proven ability to write and debug executable code live (Python, Go, or Bash)
  • covering core logic/data structures, along with hands-on experience writing
  • Ansible playbooks/tasks [https://playbooks.corp.google.com/tasks] for
  • infrastructure automation
  • Deep knowledge of Linux OS internals and kernel troubleshooting (e.g.,
  • inodes, open file descriptors, process states, and analyzing df vs du storage
  • discrepancies)
  • Comprehensive understanding of networking protocols and packet-level
  • analysis, including DNS resolution workflows, TLS handshakes, TCP/IP
  • mechanics, and packet captures via tcpdump
  • In-office perks, and more!

Preferred

  • Hands-on experience operating and managing FreeBSD / BSD operating systems in
  • production
  • Proven expertise running, scaling, and troubleshooting Kubernetes clusters in
  • high-traffic, low-latency environments and workflow orchestration platforms
  • (Temporal or similar)
  • Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging
  • AI/ML frameworks/AIOps tools for automated root-cause analysis
  • Zscaler’s salary ranges are benchmarked and are determined by role and level.
  • The range displayed on each job posting reflects the minimum and maximum target
  • for new hire salaries for the position across all US locations and could be
  • higher or lower based on a multitude of factors, including job-related skills,
  • experience, and relevant education or training.
  • The base salary range listed for this full-time position excludes commission/
  • bonus/ equity (if applicable) + benefits.
  • Base Pay Range
  • $119,000—$170,000 USD
  • 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,
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options

Benefits

  • 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
  • Zscaler complies with all applicable federal, state, and local pay transparency
  • rules.

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