Description

Job Title: Blockchain Research Intern

We are Orderly, the ultimate destination for decentralized trading platforms. We are not satisfied with the limitations of centralized exchanges or the complexities of building decentralized order books. We aim to make trading easy, fast, and secure for everyone. How? By fusing the simplicity of CeFi with the power of DeFi.

At the heart of the issue lies “liquidity”. Builders often grapple with a paradox; traders need liquidity, but liquidity demands traders. Our solution is simple as is bold –concentrate all liquidity into one order book. One order book that connects all the liquidity in the crypto space.

Our ambition doesn’t stop there. We’re omnichain, championing chain abstraction. We envision seamless transactions, where the underlying blockchain is merely a detail. By concentrating liquidity, we aim to redefine the crypto landscape, making bridging and wrapped assets a thing of the past.

We are Orderly, and we are here to revolutionize DeFi, democratizing access to financial opportunities and fostering a fair, equitable paradigm for all.

What will you be working on?

• Develop the core functions of the Internet financial platform, and build the technology infrastructure that supports digital asset trading on the internet.
• Implement RestFul and WebSocket API interfaces to support customers to receive market data and execute orders.
• Establish a robust, efficient and concurrent trading system to ensure 7×24 hours uninterrupted operation.

Who will you be working with?

• Actively conduct efficient communication with product team and business development team to collect requirements and participate in product planning and system design.

What challenges will you face?

• Fast-paced working environment.
• Propose practical and feasible solutions and produce technical documents independently.
• System analyzing, abstract thinking, and system designing.

What tech stacks/skills will you be using?

• Java programming – frequently
• Large-scale, multithreading, and high-performance distributed system – frequently
• Data structures, design patterns, multi-threaded programming, and JVM principles – frequently
• Java Web, microservice development, and frameworks like SpringBoot, Spring Cloud, and MyBatis – frequently
• Caching, message queuing, and searching tools like Redis, Kafka, and Elasticsearch – frequently
• Linux – frequently
• Performance tuning, jmetrics, and grafana – sometimes

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