Web3 Backend Architect: Go Microservices & Data Systems

Remotedxb; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

Remotedxb is seeking an experienced backend engineer to lead architecture for Web3 products, including data services and wallet management. You will implement on-chain data scraping, parsing, and storage, and craft high-performance APIs using RESTful, gRPC, and WebSocket.

The role requires 5+ years of backend experience with Golang and 2+ years in Web3, plus strong distributed systems knowledge. Docker, Kubernetes, and CI/CD expertise are essential.

Qualifications

• 5+ years of backend development experience.
• 3+ years with Golang, including Gin/Go-zero/Gorm.
• 2+ years of Web3 development and blockchain interaction knowledge.
• Experience with distributed systems and Kafka.
• Proficiency in SQL/NoSQL databases and Redis caching.
• Experience with Docker, Kubernetes and CI/CD workflows.

Responsibilities

• Lead backend architecture design for Web3 products including aggregators, data services, and wallet management.
• Develop on-chain data scraping, parsing, and storage mechanisms.
• Design high-performance APIs using RESTful, gRPC, and WebSocket protocols.
• Build interaction modules between off-chain services and smart contracts across multi‑chain setups.
• Design microservices and implement containerized deployment using Docker and Kubernetes.
• Optimize SQL/NoSQL, Redis, and Kafka components for high availability.

Skills

Golang

Gin

Go-zero

Gorm

Web3 development

Kafka

Redis

Docker

Kubernetes

CI/CD automation

RESTful APIs

gRPC

WebSocket

Tools

SQL

NoSQL

Redis

Kafka

Docker

Kubernetes

CI/CD

Job description

Remotedxb is seeking an experienced backend engineer to lead architecture for Web3 products, including data services and wallet management. You will implement on-chain data scraping, parsing, and storage, and craft high-performance APIs using RESTful, gRPC, and WebSocket.

The role requires 5+ years of backend experience with Golang and 2+ years in Web3, plus strong distributed systems knowledge. Docker, Kubernetes, and CI/CD expertise are essential.