Responsibilities
- Design, build, and maintain scalable data pipelines and platform infrastructure to support data ingestion, processing, and distribution
- Develop backend services integrated with AI Agent systems, including building and maintaining Agent workflows, monitoring pipelines, and observability tools
- Build monitoring and alerting capabilities to ensure data quality, pipeline stability, and AI system health
- Collaborate with AI, product, and cross-functional teams (frontend, DevOps, QA) to align data infrastructure with AI Agent and platform requirements
- Support and maintain existing services (including B9), ensuring stability during and beyond team personnel transitions
Requirements
- 3–6 years of backend development experience, with Golang as the core tech stack and recent hands-on production experience
- Proven experience building data pipelines, data platforms, or large-scale data processing backend systems
- Experience with AI monitoring, observability tools, or Agent engineering; ability to integrate AI/LLM workflows into production backend systems
- Solid foundation in distributed systems, microservice architecture, relational/NoSQL databases, and message queues (e.g., Kafka)
- Familiarity with AI Agent frameworks, LLM integration, or related AI toolchain development is a plus
- Strong communication skills; able to thrive in a fast-paced, product-driven environment
- Bachelor's degree or above in Computer Science, Engineering, or a related field
Skills Required
- 3-6 years of backend development experience
- Recent hands-on production experience with Golang
- Experience building data pipelines, data platforms, or large-scale data-processing backend systems
- Experience with AI monitoring, observability tools, or Agent engineering
- Ability to integrate AI or LLM workflows into production backend systems
- Knowledge of distributed systems and microservice architecture
- Knowledge of relational and NoSQL databases
- Knowledge of message queues such as Kafka
- Familiarity with AI Agent frameworks, LLM integration, or related AI toolchain development
- Strong communication skills
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com






