TP-Link Systems Inc.
Technology
CloudOperationsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Cloud Operations Engineer at TP-Link Systems Inc.. Skills: Cloud operations, Kubernetes, Infrastructure as Code, Reliability engineering. Design cloud-native infrastructure platforms. Build cloud-native infrastructure platforms”
Industry & Context.
Troubleshooting complex issues; Diagnose infrastructure issues; Resolve infrastructure issues
Scheduled on-call rotation
What They're Looking For.
Must Have
Bachelor's degree or above, 2+ years of hands-on experience, Knowledge of AWS services, Hands-on experience operating Kubernetes, Familiarity with Kubernetes ecosystem tools, Experience with GitOps tools, Solid Linux administration skills, Experience with CI/CD pipelines, Good understanding of reliability engineering, Problem-solving skills, Good communication skills, Willingness to participate in on-call
Nice to Have
Experience with NVIDIA device plugins, Experience with Azure or Alibaba Cloud, Kubernetes certifications are a plus
What You'll Do.
Design cloud-native infrastructure platforms
Build cloud-native infrastructure platforms
Maintain cloud-native infrastructure platforms
Operate AWS environments
Optimize AWS environments
Manage Kubernetes clusters
Provision Kubernetes clusters
Upgrade Kubernetes clusters
Autoscale Kubernetes clusters
Manage Kubernetes networking
Manage Kubernetes observability
Plan Kubernetes capacity
Operate Kubernetes ecosystem components
Improve GitOps workflows
Manage Istio service mesh
Enhance Istio service mesh
Define reliability practices
Improve reliability practices
Monitor production cloud infrastructure
Alert on production cloud infrastructure
Troubleshoot production issues
Drive automation for infrastructure
Drive automation for CI/CD
Drive automation for observability
Drive automation for workflows
Collaborate with application engineering
Collaborate with architecture teams
Collaborate with security teams
Collaborate with platform teams
How You'll Work.
Team & Collaboration
Cross-functional engineering teams
Full Job Description
**ABOUT US:** Headquartered in the United States, **TP-Link Systems Inc.** is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. **KEY RESPONSIBILITIES** * Design, build, and maintain reliable, scalable, and secure cloud-native infrastructure platforms supporting large-scale production workloads. * Operate and optimize multi-account AWS environments, ensuring infrastructure is secure, repeatable, and auditable through Infrastructure as Code tools such as Terraform. * Manage production Kubernetes clusters, including provisioning, upgrades, autoscaling, networking, observability, capacity planning, and day-to-day operations. * Build and operate Kubernetes ecosystem components such as CRDs, Helm, HPA, Cluster Autoscaler, CoreDNS, and Cluster API. * Operate and improve GitOps-based deployment workflows using tools such as FluxCD or ArgoCD. * Manage and enhance Istio service mesh capabilities, including traffic routing, service discovery, resilience, security, and service-to-service communication. * Define and improve reliability practices, including SLOs, Error Budgets, monitoring, alerting, incident response, and post-mortems. * Participate in a scheduled on-call rotation to support production cloud infrastructure and Kubernetes p
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