High-Performance Backend Developer for Real-Time Data Processing

2 weeks ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $180,000 - $250,000
Real-Time Data Engineer Position

At a global digital asset company, we provide crypto financial services to institutional and high-net-worth investors worldwide.

We offer best-in-class liquidity solutions and cutting-edge trading infrastructure across major exchanges, applications, and networks.

Our team focuses on building strong relationships and delivering personalized service to help clients navigate this fast-growing industry.

Security is our top priority, with industry-leading certifications like SOC 2 Type II and ISO 27001.

Our technology and research capabilities are world-class, and we remain entrepreneurial, seeking fresh ideas and risks worth taking.

Key Responsibilities
  • Design, develop, and maintain performant backend infrastructure for real-time data processing and analysis using Golang/Rust.
  • Build and optimize low-latency data pipelines that handle large volumes of data in real-time.
  • Develop and implement algorithms and data structures for efficient data storage and retrieval.
  • Collaborate with data scientists and traders to integrate machine learning models and trading strategies into the backend infrastructure.
  • Ensure data privacy, security, and regulatory compliance.
  • Monitor and analyze system performance to identify potential issues and optimize overall performance.
  • Work with cross-functional teams to troubleshoot and resolve technical issues.
Requirements
  • Bachelor's degree in Computer Science or related field.
  • 3+ years of experience in software development with Golang/Rust/Python.
  • Strong understanding of data structures, algorithms, and design patterns.
  • Experience working with quant trading or crypto data is highly desirable.
  • Solid experience designing and building scalable backend systems for real-time data processing and analysis.
  • Experience with database design and management using SQL and NoSQL databases.
  • Familiarity with cloud infrastructure services like AWS, GCP, or Azure is a plus.
  • Experience with message brokers such as Kafka or RabbitMQ.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work well in a team environment.

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