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Binance Accelerator Program - Big Data Infrastructure Engineer

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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.
Who may apply
Current university students and recent graduates.
*Terms of employment / engagement shall be subject to contract and local applicable laws

About the team: We are the Big Data Infrastructure team at Binance, responsible for the stability and cost efficiency of the company's core data platform. Our systems cover Spark/YARN job monitoring and governance, S3 storage cost analysis, data lineage and quality management, and automated operations tooling.

Responsibilities

  • Spark / YARN Job Optimization
  • Analyze job resource usage and identify inefficiencies (CPU idle, memory waste, timeouts, small file problems, etc.)
  • Build job profiling systems: job classification, resource baseline modeling, historical trend analysis
  • Produce optimization reports and drive business owners to implement improvements
  • AI-Driven Automation & Tooling
  • Use AI coding tools (Cursor / Copilot / Claude, etc.) fluently to accelerate development and tool delivery
  • Participate in EMR / S3 cost optimization projects: analyze high-cost jobs and storage, identify waste, and drive owners to take action
  • Develop automated ops scripts: scheduled health checks, anomaly alerting, data governance policy auto-deployment
  • Help build internal SaaS tooling to systematize and productize repetitive manual operations
  • Monitoring & Alerting
  • Maintain and improve existing monitoring systems (Prometheus metrics, alerts, log analysis)
  • Participate in Flink / Spark job health monitoring development
  • Assist with capacity alerting and governance for disk, S3, and other storage layers
  • What We're Looking For

  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, or a related field
  • Proficient in Python — able to write clean, maintainable scripts and tools independently
  • **Must be fluent in AI coding tools (Cursor / Copilot / ChatGPT / Claude, etc.) for development and troubleshooting** — this is a hard requirement; please think carefully before applying if you don't use AI tools regularly
  • Comfortable with Linux: running programs on servers, reading logs, debugging issues
  • Bonus Points (one or two is plenty)

  • Have used Spark / Hive / Flink, even just in coursework
  • Familiar with AWS basics (S3, EMR, Athena)
  • Have written Shell scripts or set up crontab scheduled tasks
  • Have used Kafka, Prometheus, or any message queue / monitoring system
  • Have completed a full project using AI tools and can clearly explain how and where you used them
  • Any real project experience: open source contributions, competitions, lab projects, etc.
  • Bilingual English/Mandarin is an added advantage to be able to coordinate with overseas partners and stakeholders.
  • 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.

    What this application asks

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    Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn account or any other links URL

    • Where do you currently live? choose one · optional
    • What is your nationality? choose one · optional
    • Language 1 choose one · optional
    • Language 2 choose one · optional
    • Language 3 choose one · optional
    • Other optional
    • Language 1 choose one · optional
    • Language 2 choose one · optional
    • Language 3 choose one · optional
    • How did you hear about our job opening? Please select one of the following options: choose one
    • Do you require Visa sponsorship to work in your location? choose one
    • Please describe your experience with AI and large language models (LLMs). written answer · optional
    • This BAP program is for Bachelor’s/Master’s students or new graduates. Are you eligible? choose one
    • Are you committed to working full-time (40 hours/5 days per week)?* choose one
    • If less than 40 hours/week, please state how many hours you are eligible to work per week* written answer
    • How many months are you available? Please specify the duration, e.g., 6 months – April to September 2026 written answer

    See also