Cloud Software Engineer, Backend - Enterprise job opportunity at TP Link Systems Inc..

Home Jobs In United States Of America Tag: Backend - Enterprise Cloud Software Engineer, Backend - Enterprise position at TP Link Systems Inc.


Date2026-02-17T00:20:07.701Z bot
TP Link Systems Inc. Cloud Software Engineer, Backend - Enterprise
Experience: 2-years
Pattern: Full-time
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loacation Irvine, United States Of America
loacation Irvine....United States Of America

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.  Overview: Do you thrive in building robust, scalable backend systems for the cloud? Are you passionate about designing and implementing high-performance, secure applications? If so, then this Cloud Software Engineer, Backend role might be perfect for you! In this role, you will be an important member of our engineering team, responsible for the design, development, and maintenance of our backend cloud applications. You'll collaborate with our Cloud Architects, UX/UI designers, QA teams, and key hardware personnel and you will leverage your expertise in cloud technologies and backend development to build secure, reliable, and performant systems that meet our business needs. Key Responsibilities: Research competitors, design, develop, and maintain highly scalable and reliable backend services using cloud-native technologies. Collaborate with frontend engineers and other teams to ensure seamless integration. Select and utilize appropriate cloud technologies (e.g., AWS, Azure, OCI) to build and deploy applications. Optimize backend systems for performance, scalability, and cost-efficiency. Implement robust security measures to ensure data protection and application integrity. Develop various software (e.g., Windows/Linux/Hardware Box) with the same code which is in DDD architecture. Write clean, maintainable, and well-documented code. Automate infrastructure provisioning and deployment using tools like CI/CD pipelines. Troubleshoot and debug complex backend issues. Participate in code reviews & design reviews that are related to the modules that you are responsible for. Stay up to date on the latest cloud technologies and best practices. Bachelor's degree in Computer Science, Software Engineering, or a related field. 2+ years of experience in cloud backend software development. Proven experience designing and building scalable, reliable, and secure cloud-based applications. Strong proficiency in backend programming language Java and frameworks like SpringBoot, Service Mesh. Strong proficiency in JVM, multithreading programming, performance optimization skills. Experience with a specific cloud platform (AWS, Azure, OCI). Experience with cloud-based databases (e.g., NoSQL databases such as MongoDB, relational databases). Experience with distributed middleware (e.g. Message queue, config center). Experience with containerization technologies (e.g., Docker, Kubernetes). In-depth knowledge of backend technologies (e.g., APIs, message queues). Experience with security best practices for cloud environments. Excellent communication, collaboration, and problem-solving skills. Ability to work effectively in a team environment. Preferred Qualifications: Experience with DevOps principles and practices. Experience with serverless architectures. Experience with SDN Software Controller Platform. Experience with AI Ops.

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