Sr. Staff Network Engineer

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, 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) * 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.

About Coupang We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.   Role Overview We are seeking a Sr. Staff Observability Engineer to lead the design and evolution of our observability platform for a GPU-as-a-Service (GPUaaS) infrastructure. This role will own the end-to-end telemetry strategy—from high-throughput metric ingestion to log pipelines and real-time visualization—powering deep insights into GPU clusters, datacenter systems, and distributed workloads. You will architect and operate planet-scale telemetry pipelines leveraging Grafana Alloy, Mimir, Loki, and Vector, ensuring high-fidelity observability across GPU workloads, Kubernetes clusters, and datacenter infrastructure.   ---------------------------------------------------------------------------------------------------------------------------------- Key Responsibilities   * End-to-End Observability Platform Ownership: Design and scale telemetry pipelines using: * Grafana Alloy for metrics collection (Prometheus-compatible pipelines) * Datadog Vector for high-throughput log ingestion and transformation * Grafana Mimir for scalable time-series storage * Grafana Loki for log aggregation and querying * Strategic Roadmap: Define the multi-year vision for GPU infrastructure observability, transitioning from reactive monitoring to SLO-driven, predictive, and automated observability. * High-Cardinality Telemetry Design: Optimize pipelines for GPU workloads characterized by: * High-cardinality labels (GPU IDs, tenants, workloads) * Burst-heavy workloads (ML training, inference spikes) * Multi-tenant isolation requirements * Architect low-latency, high-throughput pipelines capable of ingesting: * GPU metrics (utilization, memory, thermals, MIG partitions) * Kubernetes and container telemetry * Distributed system logs and traces * Build and optimize metric pipelines (Alloy → Mimir) ensuring: * Efficient remote_write tuning * Cost-effective retention strategies * Horizontal scalability and compaction tuning * Design log pipelines (Vector → Loki) with: * Structured logging and enrichment * Intelligent filtering/sampling * Stream partitioning for high-ingest environments * Establish deep observability into: * GPU hardware (NVIDIA DCGM, MIG, NVLink, PCIe) * Kubernetes GPU operators and scheduling behavior * Network fabric (RDMA, InfiniBand, TCP performance) * Define GPU-specific SLIs/SLOs such as: * GPU utilization efficiency * Job scheduling latency * Cluster fragmentation * Thermal and power anomalies * Build rich Grafana dashboards for: * Real-time GPU fleet health * Tenant-level usage and billing insights * Capacity planning and forecasting * Standardize dashboard frameworks and reusable panels across teams * Enable self-service observability for platform and ML engineering teams * Drive adoption of SRE principles: * SLIs, SLOs, error budgets tailored to GPU workloads * Integrate observability into CI/CD and IaC pipelines (Terraform/Kubernetes): * Automated canary analysis * Observability-driven rollbacks * Build automation (Go/Python) for: * Pipeline health monitoring * Dynamic routing and scaling of telemetry workloads * Develop tooling and practices for cross-layer correlation: * GPU → Node → Kubernetes → Application → Network * Lead deep RCA efforts for: * GPU contention issues * Performance degradation in ML workloads * Telemetry pipeline backpressure/failures * Enable “needle-in-a-haystack” debugging using unified logs + metrics * Mentor engineers and lead design reviews for observability systems * Act as a force multiplier across SRE, Infra, and ML platform teams * Promote Observability-by-Design in all new GPU cluster deployments * Drive adoption and contribution to: * Grafana stack (Alloy, Mimir, Loki, Tempo) * OpenTelemetry ecosystem * Define build vs. buy decisions (Datadog vs OSS vs hybrid approaches) * Optimize interoperability between Vector and OTEL pipelines * Architect secure telemetry pipelines with: * Encryption in transit and at rest * Multi-tenant isolation and RBAC * Data residency compliance * Implement Zero Trust observability patterns   ---------------------------------------------------------------------------------------------------------------------------------- Qualifications & Requirements * BS/MS in Computer Science or equivalent practical experience * Extensive experience in Observability, SRE, or Distributed Infrastructure * Proven track record building large-scale telemetry pipelines (metrics/logs) * Observability Stack: * Grafana Alloy / Prometheus ecosystem * Grafana Mimir (or Cortex/Thanos) * Grafana Loki * Datadog Vector (or similar log pipelines) *  Programming: * Strong in Go or Python *  Data Systems: * TSDBs and log storage at scale *  Infrastructure: * Kubernetes, Linux internals * GPU systems (NVIDIA DCGM, CUDA ecosystem) * High-performance networking (RDMA, InfiniBand preferred) * Cloud & Hybrid: * Experience building observability across: * Bare-metal GPU clusters * Hybrid cloud environments   ---------------------------------------------------------------------------------------------------------------------------------- Core Impact Success in this role is measured by: * A highly reliable, scalable observability platform powering GPU infrastructure * Ability to diagnose complex GPU and distributed system issues in minutes * Enabling data-driven optimization of GPU utilization and cost efficiency * Building systems that proactively detect and mitigate failures before user impact   ---------------------------------------------------------------------------------------------------------------------------------- Recruitment Process and Others Recruitment Process * Application Review - 1st Virtual Interview - 2nd Virtual Interview - Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. * Job titles and responsibilities may be subject to change depending on the candidate's overall experience, etc. this will be communicated to the candidate at the appropriate time before the offer. * Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met. * This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. * https://privacy.coupang.com/en/land/jobs/ Document Return Policy 1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act. 2. A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant. 3. A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit It by email (recruitingops@coupang.com). In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail. 4. In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act. 5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.