Binance Accelerator Program Big Data Infrastructure Engineer

Binance Accelerator Program - Big Data Infrastructure Engineer Asia / Taiwan, Taipei / Hong Kong Engineering – Big Data / Binance Accelerator Program / Remote apply for this job 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. About Binance Accelerator Program Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE   Who may apply  Current university students and recent graduates 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 Requirements Fluent in AI coding tools (Cursor / Copilot / ChatGPT / Claude, etc.) for development and troubleshooting** — this is a hard requirement. 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 Comfortable with Linux: running programs on servers, reading logs, debugging issues Good to have 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. 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 • T...