Senior Software Engineer – Reconciliation & Data Platform

Binance · Asia / Taiwan, Taipei

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.

We are looking for a Software Engineer to join our Reconciliation team. You will design and build high-throughput reconciliation systems that ensure the accuracy and consistency of financial data across trading, settlement, and fee/commission pipelines. The role sits at the intersection of backend engineering and data development — you need to be equally comfortable writing production Java services and wrangling large-scale data with Flink and Hive.

Responsibilities

  • Design and implement reconciliation frameworks to detect discrepancies across financial systems (trading, settlement, commission, etc.)
  • Build and maintain real-time and batch data pipelines using Apache Flink and Hive
  • Write complex SQL for data validation, anomaly detection, and root-cause analysis
  • Collaborate with Finance, Risk, and Product teams to define reconciliation rules and SLAs
  • Optimize system performance and reliability for high-volume, low-latency reconciliation scenarios
  • Leverage AI/LLM tooling to accelerate development, automate anomaly triage, and improve operational efficiency

    • Requirements

  • 3+ years of backend development experience, primarily in Java
  • Strong SQL skills — able to write and optimize complex queries for large datasets
  • Hands-on experience with big data frameworks: Apache Flink (streaming) and Hive (batch/warehouse)
  • Data-sensitive mindset: comfortable reasoning about data accuracy, consistency, and edge cases
  • Experience in financial reconciliation, settlement systems, or data quality engineering is a strong plus
  • Familiarity with AI tools (Copilot, LLM-based automation, etc.) and ability to apply them in daily engineering work is a plus

    • Nice to have

  • Experience with data warehousing concepts (partitioning, slowly changing dimensions, data lineage)
  • Familiarity with Kafka, Spark, or similar data infrastructure
  • Background in crypto, fintech, or high-frequency trading environments

    • Software pay context

    Based on 7,536 disclosed Software salaries on RoleSuite, the role pays a median of $158K/year, with most offers between $124K and $200K (10th–90th percentile: $101K–$235K).

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