Go Backend Engineer – Real-Time, Cloud-Native

nahc.io; Hong Kong; On-site; HKD 600,000 - 850,000; Full time

Job summary

A cloud infrastructure company is seeking a seasoned Backend Engineer in Hong Kong. In this role, you will develop high-performance, cloud-native backend systems using Go, optimize real-time data processing workflows, and ensure system reliability and performance. Candidates should have over 5 years of backend development experience, including expertise in microservice architectures and infrastructure automation. Join a dynamic team committed to engineering excellence and rapid deployment.

Qualifications

• 5+ years of backend development experience, including 3+ years with Go in production-grade systems.
• Experience leading large-scale system design and mentoring engineers.
• Strong knowledge of concurrency, memory management, and performance optimization in Go.
• Proven track record of creating high-availability microservice architectures.
• Solid understanding of message queues, event-driven architectures, and asynchronous processing.

Responsibilities

• Lead design and development of backend systems for real-time processing.
• Optimize systems performance and ensure reliability.
• Contribute to infrastructure automation and CI/CD improvements.
• Conduct code reviews and influence engineering culture.
• Monitor and troubleshoot production systems.

Skills

Backend development

Go programming

System design

Microservice architecture

Performance optimization

Tools

Docker

Kafka

PostgreSQL

Kubernetes

Job description

A cloud infrastructure company is seeking a seasoned Backend Engineer in Hong Kong. In this role, you will develop high-performance, cloud-native backend systems using Go, optimize real-time data processing workflows, and ensure system reliability and performance. Candidates should have over 5 years of backend development experience, including expertise in microservice architectures and infrastructure automation. Join a dynamic team committed to engineering excellence and rapid deployment.