Remote Golang Backend Engineer - AI Data Pipelines

Binance

Singapore

Hybrid

SGD 110,000 - 170,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Work-from-home options

Job summary

Binance Singapore is seeking an experienced backend engineer to design, build, and scale data pipelines and platform infrastructure using Golang. You will implement backend services integrated with AI Agent systems and ensure robust observability, monitoring, and reliability in production.

You will collaborate with AI, product, frontend, DevOps, and QA teams to align data infrastructure with AI Agent and platform requirements, and you will support and maintain existing services including B9

Qualifications

  • 3–6 years backend development with Golang.
  • Experience building data pipelines or large-scale data processing systems.
  • Experience with AI monitoring/observability and AI workflows.
  • Strong knowledge of distributed systems and microservices.
  • Bachelor's degree in CS or Engineering.

Responsibilities

  • Design, build, and maintain scalable data pipelines and platform infrastructure.
  • Develop backend services integrated with AI Agent systems, including workflows and observability.
  • Build monitoring and alerting to ensure data quality and AI health.
  • Collaborate with AI, product, frontend, DevOps, and QA teams to align infra with requirements.
  • Support and maintain existing services (including B9) during transitions.

Skills

Golang
Distributed systems
Microservices
Data pipelines
SQL/NoSQL
AI monitoring
Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

Kafka
LLM integration

Job description

Binance Singapore is seeking an experienced backend engineer to design, build, and scale data pipelines and platform infrastructure using Golang. You will implement backend services integrated with AI Agent systems and ensure robust observability, monitoring, and reliability in production.

You will collaborate with AI, product, frontend, DevOps, and QA teams to align data infrastructure with AI Agent and platform requirements, and you will support and maintain existing services including B9

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