Senior Java Engineer – Algorithmic Trading & Liquidity Platforms
Коротко
Builds low-latency algorithmic trading platforms (EMS, SOR, trading engines) in Core Java, Spring Boot, and microservices, collaborating with traders. · Needs: 5+ years Java backend in front-office/trading; Core Java, multithreading, concurrency; low-latency trading apps and market data feeds; OMS/EMS/exchange
Описание от работодателя
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