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Frank Zhu - Devops/Cloud Engineer

[email protected]

Location: Vancouver, British Columbia, Canada

Relocation: Any

Visa: Any

Resume file: Frank Zhu_1767715286717.pdf Please check the file(s) for viruses. Files are checked manually and then made available for download.

CHUNYANG (FRANK) ZHU +1 (236) 999-9661 Burnaby, BC, Canada [email protected] SUMMARY Senior SRE with deep experience in AI platform reliability, Kubernetes infrastructure, and cloud automation. Led global operations for Microsoft AI Translator, driving 99.9% availability, secure model releases, multi-region Kubernetes operations, and SLO-driven incident reduction. EDUCATION M.S. Cybersecurity, New York Institute of Technology - Vancouver 2023 2024 M.S. Computer Science, Washington University in St. Louis 2014 2016 B.S. Computer Science, University at Buffalo, SUNY 2010 2014 SKILLS Cloud & Infra: Azure, Kubernetes (AKS), Docker, OpenShift Programming: Python, Java, Go Observability: Prometheus, Grafana, Splunk, Datadog Databases & Msg: MongoDB, MySQL, Couchbase, Kafka DevOps: Azure DevOps, CI/CD Pipelines, VMware, Terraform EXPERIENCE Microsoft Feb 2025 Present Site Reliability Engineer Lead (Contract via CSI Interfusion) Remote Operated multi-region Linux/Kubernetes environments for global AI inference services, ensuring 99.9% availability while performing node and VM-level troubleshooting beyond Kubernetes workloads. Managed lifecycle operations for Linux VMs underpinning AKS clusters, including provisioning, patching, scaling, node replacement, and resolving OS/network/storage issues impacting service health. Designed and optimized production-grade AKS clusters with security hardening, autoscaling improvements, and enhanced diagnostics, reducing MTTR by 50%. Built automated CI/CD pipelines for microservices and AI models, enabling safe canary deployments, traceable rollouts, and weekly global releases. Led large-scale Linux patch automation and CVE remediation across distributed VM fleets, meeting Cyber EO compliance and standardizing secure release governance. Developed observability using Prometheus/Grafana, implementing SLO-based alerting, performance monitoring, and integrating Exporter metrics into modern monitoring workflows. Automated operational workflows using Python, Go, and Bash, improving deployment, monitoring, and troubleshooting efficiency. Coordinated a distributed 6-engineer SRE team, establishing DRI/on-call workflows, escalation processes, and operational best practices across global services. Branch Metrics 2020 2021 Solution Engineer Remote Built and deployed mobile attribution integrations for enterprise clients, improving onboarding efficiency and reducing integration time by 40%. Designed end-to-end SaaS data flows using REST APIs, webhooks, and event-based pipelines to support highscale marketing analytics. NVIDIA 2017 2018 System Software Engineer Shanghai, China Developed and maintained microservices for the NVIDIA Gaming Platform (50M+ users), enabling scalable game distribution and user services. Rebuilt CI/CD pipelines with automated testing and structured logging, reducing deployment time and improving release reliability. Implemented service-level monitoring and debugging tools to enhance production visibility and accelerate issue resolution. Walmart Inc. 2016 2017 Programmer Analyst Bentonville, AR, USA Built Azure-based Java microservices supporting robotics-driven inventory automation, improving system efficiency and operational throughput. Implemented event-driven workflows and messaging using Azure services to support large-scale warehouse operations. Collaborated with robotics and infrastructure teams to ensure reliability, service scalability, and smooth CI/CD delivery. Keywords: continuous integration continuous deployment artificial intelligence golang Arkansas