Senior Java Engineer – Algorithmic Trading & Liquidity Platforms

A global leader in digital assets and financial technology, the firm provides cutting-edge trading infrastructure to millions of users worldwide, driven by a culture of intellectual curiosity, collaboration, and execution excellence. About the Opportunity An experienced Java developer is sought for a hands-on engineering role building high-performance, low-latency algorithmic trading platforms across crypto and traditional asset classes, collaborating closely with traders and stakeholders to deliver mission-critical applications. What You'll Do - Design and build low-latency trading systems including EMS, SOR, and algorithmic trading engines - Develop routing algorithms based on execution quality, liquidity, and cost - Build and maintain automated pricing and trading strategies - Partner with traders and stakeholders to translate business needs into technical solutions - Enhance system stability, scalability, and resilience for 24x7 trading - Implement observability, resolve incidents, and address root causes - Participate in architecture reviews, code reviews, and mentor junior developers - Collaborate with global teams on end-to-end feature delivery What Is Being Looked For - Solid STEM background with strong problem-solving skills - 5+ years of Java backend experience in front-office or trading environments - Deep expertise in Core Java, multithreading, concurrency, and performance optimization - Experience with low-latency trading applications and market data feeds - Strong understanding of trading system architecture (OMS, EMS, exchange connectivity) - Proficiency in Spring Boot, REST APIs, and microservices - Strong SQL and data modeling skills - Linux experience and familiarity with performance profiling tools - Excellent communication skills and ability to work directly with traders - Strong organizational skills and ability to thrive in a fast-paced environment - A proactive, problem-solving mindset Bonus Points - Experience in crypto, DeFi, or digital assets - Knowledge of structured products, derivatives, or market making - Familiarity with FIX protocol - Experience with Kafka, NoSQL, Docker, Kubernetes, or cloud platforms - Exposure to regulatory or compliance environments Originally posted on Himalayas