Open to opportunities

Robert Tang

@roberttang3

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Experienced staff software engineer with expertise in backend systems.

United States

Message

What I'm looking for

I am looking for a challenging role in a dynamic environment that fosters innovation and collaboration, where I can leverage my skills in backend development and DevOps to drive impactful projects.

With over 12 years of experience as a software engineer, I have been fortunate to contribute to significant projects at leading tech companies. As an early member of the Slack team, I played a crucial role in building core messaging systems that supported millions of users. Later, I joined Binance, where I focused on developing cryptocurrency trading platforms, utilizing my DevOps expertise to optimize performance and scalability.

At Binance, I designed and implemented data processing pipelines and backend microservices that enabled real-time trading operations. My work in optimizing database performance and implementing serverless solutions on AWS significantly reduced latency and improved system efficiency. I take pride in mentoring junior engineers and fostering collaboration across teams, which has led to improved productivity and faster delivery cycles.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Binance

Jun 2019 - Present (6 years 1 month)

Developed cryptocurrency trading platforms with event-driven architecture and real-time data pipelines, enabling low-latency processing and supporting millions of transactions daily. Architected and developed robust backend microservices, including a high-performance order-book matching engine, using Node.js, Python, C# / ASP.NET and Java / Spring Boot.

Apache Kafka REDIS Streams Apache Airflow Datadog)Node Python C#)ASP.NET Java Spring Boot React Redux PostgreSQL MongoDB AWS Lambda S3 SNS DynamoDB Solidity Rust Golang Cypress Jest Junit Docker Jenkins

Senior Software Engineer

Slack Technologies

Jun 2013 - May 2019 (5 years 11 months)

Contributed to building the Core Messaging Platform, focusing on scalable data systems designed to handle millions of concurrent connections and high-volume messaging traffic. Implemented a scalable persistent data layer using MySQL and Redis caching, supporting around 2 million concurrent connections across multiple regions.