> Markdown version of [/jobs/ext/3969642-senior-cloud-software-engineer-infra-compute-network](https://www.wearedevelopers.com/jobs/ext/3969642-senior-cloud-software-engineer-infra-compute-network). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cloud Software Engineer - Infra Compute & Network - **Company:** TP-Link Systems Inc. - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Cloud Computing, Computer Networks, Network Address Translation, Distributed Systems, Subnetting, Virtual Private Networks (VPN), Network Troubleshooting, Network Architecture, Network Service, Performance Tuning, Service Discovery, Software Engineering, Wi-Fi Technology, Computer Networking Systems, Load Balancing, Autoscaling, Istio, Multi-Cloud, HybridCloud, Amazon Virtual Private Cloud (VPC), Kubernetes, Information Technology, Serverless Computing, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-cloud-software-engineer-infra-compute-network-irvine-ca--6f2af6d2-447b-49d5-890c-941d9651e306 ## About the Role Software Engineering, Cloud Computing, Computer Networks, Wi-Fi, Smart Homes, Customer Support/Service, Microservices, Computer Networks, Cloud Computing, Ecosystems, * Bachelor's degree or above in Computer Science, Software Engineering, or a related field. * 7+ years of experience in cloud infrastructure, platform engineering, or related areas. * Hands-on experience with AWS is required, with solid practical knowledge of cloud compute and networking services. * Deep expertise in Kubernetes, including cluster architecture, workload orchestration, networking, autoscaling, and ecosystem components; Kubernetes certifications such as CKA or CKS, or equivalent proven expertise, are strongly preferred. * Proven experience managing large-scale Istio service mesh in production environments is required. * Strong understanding of cloud-native traffic management and networking, including gateways, load balancers, service-to-service communication, CDN, and global traffic routing. * Strong problem-solving skills with the ability to independently troubleshoot and resolve complex infrastructure and network issues in distributed systems. * Strong communication and cross-functional collaboration skills., * Experience with other public cloud platforms such as Azure or GCP. * Experience building compute and network platforms in multi-cloud or hybrid-cloud environments. * Experience building shared infrastructure platforms or standardized platform capabilities for largescale microservice architectures. ## Description * Design, build, and continuously evolve a unified cloud-native compute and network platform that provides consistent access, runtime, and traffic management capabilities for all company microservices. * Build, optimize, and operate Kubernetes-based compute orchestration platforms and related ecosystem components, including but not limited to HPA, VPA, Cluster Autoscaler, and CoreDNS. * Design and implement compute and network infrastructure capabilities on AWS, including VPC, Subnet, NAT, VPN, dedicated connectivity, and integration with EC2 and serverless platforms. * Build and enhance traffic management capabilities for large-scale microservice environments, including service mesh, gateways, load balancers, CDN, and global acceleration. * Lead the architecture, deployment, governance, performance optimization, and reliability assurance of large-scale Istio service mesh in production environments to support service discovery, traffic routing, resilience, and secure service-to-service communication. * Collaborate closely with application engineering, architecture, and platform teams to standardize infrastructure capabilities and improve scalability, reliability, and operational efficiency. * Drive technical evolution and best practices in cloud-native compute and networking, and contribute to the long-term development of the company's infrastructure platform.