Cloud Software Engineer - DevOps job opportunity at TP Link Systems Inc..

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Date2026-03-12T20:23:54.206Z bot
TP Link Systems Inc. Cloud Software Engineer - DevOps
Experience: 2-years
Pattern: Full-time
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loacation Irvine, United States Of America
loacation Irvine....United States Of America
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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, develop, and continuously improve a unified cloud-native CI/CD platform to provide standardized integration, delivery, and release capabilities for the company’s microservice engineering teams. Build and enhance DevOps platform capabilities, and drive the automation and platformization of key workflows such as build, test, release, deployment, and rollback. Develop and engineer platform capabilities based on toolchains such as Jenkins and Argo Workflows to improve engineering efficiency, process consistency, and maintainability. Provide onboarding and integration support for microservice teams using the CI/CD platform, including pipeline setup, template adoption, troubleshooting, and best practice enablement. Contribute to the broader cloud-native engineering platform by integrating the CI/CD platform with Kubernetes, service governance, logging, monitoring, and source code management systems. Continuously improve the DevOps engineering ecosystem by enhancing platform reliability, scalability, usability, and automation maturity. Collaborate closely with infrastructure, engineering, QA, and operations teams to standardize software delivery workflows and improve overall engineering productivity. Stay current with emerging technologies and best practices in cloud-native DevOps, and drive continuous evolution of the platform based on business and engineering needs. REQUIRED QUALIFICATIONS Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. 2+ years of experience in DevOps platform development, developer productivity platforms, infrastructure platforms, or related areas. Hands-on AWS experience is required, with a solid understanding of cloud infrastructure and software delivery workflows in cloud-native environments. Development experience with CI/CD tools or platforms such as Jenkins and Argo Workflows is required, beyond basic day-to-day usage. Strong automation mindset and engineering ability, with the initiative to drive workflow automation, platformization, and standardization. Proficiency in one or more programming languages such as Java, Python, and Bash, with solid software development and scripting skills. Familiarity with cloud-native technologies including Kubernetes and Istio, as well as logging and monitoring systems such as Loki, ELK, Prometheus, and VictoriaMetrics. Familiarity with Git and related source code management platforms such as Gitea, and a good understanding of version control, branching strategies, and CI/CD integration. Strong problem-solving skills, with the ability to independently troubleshoot platform integration issues, pipeline execution problems, and automation workflow failures. Strong communication and cross-functional collaboration skills. PREFERRED QUALIFICATIONS Experience with other public cloud platforms such as Azure or GCP. Experience building developer productivity platforms, unified delivery platforms, or large-scale CI/CD platforms. Familiarity with engineering practices such as microservice delivery workflows, GitOps, canary release, and rollback mechanisms. Proficiency in Chinese in addition to English.

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