Cloud Engineer - Java Backend Developer

Overview

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.

$/yr - $/yr

• Design and develop the cloud service architecture for the unified management platform of telecom operator equipment.
• Architect and develop account, user, payment, and analytics systems for the operator management platform.
• Participate in software development processes, including requirements analysis, architecture design, coding, and testing.
• Contribute to the successful delivery of small to medium‑size projects.
• Conduct research on cutting‑edge cloud technologies and explore new business scenarios.

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field; a Master's degree is preferred.
• At least 2 years of experience designing highly available, high‑concurrency, high‑performance distributed architectures.
• Extensive experience in designing and implementing architectures for large‑scale internet platforms or enterprise systems.
• Strong foundation in Java, with in‑depth understanding of JVM internals; hands‑on experience with commonly used middleware technologies such as Redis, Kafka, and gRPC.
• Proficiency in frameworks and technologies such as Spring
  
  MVC, Netty, Spring Cloud, and Service Mesh.
• Familiarity with the design and development of major relational and No
  
  SQL databases like MySQL, Cassandra, and Mongo
  
  DB.
• Expertise in design patterns, with strong coding best practices and documentation skills.
• Experience designing and implementing architectures on public cloud platforms (e.g., AWS, Azure, or GCP) – preferred.
• Experience in large‑scale data processing – preferred.

• Free snacks and drinks, and provided lunch on Fridays.
• Fully paid medical, dental, and vision insurance (partial coverage for dependents).
• Contributions to 401(k) funds.
• Bi‑annual reviews, and annual pay increases.
• Health and wellness benefits, including free gym membership.
• Quarterly team‑building events.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Industries: IT Services and IT Consulting

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