Designs and maintains scalable data pipelines, platform infrastructure, and backend services supporting AI Agent systems. Builds monitoring, alerting, observability, and data-quality capabilities while integrating distributed systems, databases, and message queues. Collaborates with AI, product, DevOps, frontend, and QA teams, and supports existing services to ensure stability and continuity.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Similar Jobs
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.
Top Skills:
CloudGoJavaMessage BrokersMicroservicesPythonRelational Databases
News + Entertainment
Manages advertising, promotional, and event activities for assigned magazines. Supports sales growth by acquiring and retaining advertisers, developing packages, coordinating with agencies and clients, and preparing proposals and performance reports. Tracks payments and credit compliance, analyzes market and competitor trends, maintains pricing compliance, and supports digital media sales development. Also conducts staff reviews, training, and quality-service initiatives.
Top Skills:
EmailExcelMicrosoft PowerpointMicrosoft Word
eCommerce • Healthtech • Software
Manages end-to-end clinical data management for complex human-use research and clinical trial projects. Oversees data quality, EDC and other data collection systems, study documentation, vendors, CROs, and compliance with GCP, CFR, ICH, and company standards. Collaborates with Clinical, Biostatistics, external providers, and cross-functional teams; supports audits and health authority inspections; leads data quality reviews, evaluates proposals, manages deliverables, and mentors junior professionals.
Top Skills:
CfrClinical Data Management SystemsElectronic Clinical Outcome Assessments (Ecoa)Electronic Data Capture (Edc)GCPIch GuidelinesService Level Agreements (Sla)
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center


