IO TECH SOLUTIONS LIMITED
Java Developer
A Vice President of Java Engineering role in Hong Kong leading the architecture and development of Order Management Systems and electronic trading platforms. Day-to-day involves low-latency Core Java work, event-driven/microservices modernization, FIX/exchange integration, and managing senior Java engineers while partnering with traders, quants, and compliance.
- Compensation
- Not disclosed
- Location
- Hong Kong, Hong Kong
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Extensive production experience with Core Java (Java 17/21 preferred): multi-threading, concurrency, low-GC idioms, memory modeling
- Proven track record on Order Management Systems (OMS), EMS, or algorithmic trading platforms
- Deep understanding of FIX Protocol and market data processing
- Expertise in event-driven architecture, messaging middleware (Kafka, Solace, RabbitMQ), and low-latency frameworks (LMAX Disruptor)
- Experience with high-performance databases (NoSQL, time-series like KDB+/TimescaleDB, or optimized relational databases)
- 10+ years software engineering experience in capital markets, investment banking, or fintech
- 3+ years in a team lead or management capacity
- Strong understanding of financial instruments (Equities, Fixed Income, Derivatives, FX) and market structures (order books, matching engines, compliance checking)
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
Full description
Job Summary
We are seeking a visionary and hands-on Vice President (VP) of Java Engineering to lead the architecture, design, and development of our next-generation Order Management Systems (OMS) and Electronic Trading Platforms.
Key Responsibilities
Technical Leadership & Architecture
- System Design: Architect, design, and implement distributed, highly scalable, and fault-tolerant Java applications for complex order routing, execution, and position management.
- Performance Optimization: Drive continuous latency reduction, memory management tuning, and performance optimization across the entire trading infrastructure.
- Modernization: Evaluate legacy OMS components and spearhead migration paths to modern event-driven architectures and microservices.
Team Management & Delivery
- People Leadership: Mentor, coach, and manage a distributed team of senior Java developers, fostering a culture of technical excellence and agile delivery.
- Execution: Own the end-to-end software development lifecycle (SDLC), ensuring timely delivery of high-quality code that complies with rigorous regulatory and security standards.
- Code Quality: Enforce best practices in CI/CD pipelines, automated testing (unit, integration, and performance), and comprehensive code reviews.
Business Alignment & Collaboration
- Stakeholder Management: Partner with front-office business stakeholders, including Traders, Quants, Risk Management, and Compliance teams, to translate business requirements into technical solutions.
- Vendor Integration: Oversee integration with internal and external entities, including market data feeds, exchange connectivity (FIX protocol), and third-party OMS/EMS vendors.
Required Qualifications & Skills
Technical Expertise
- Core Java Mastery: Extensive production experience with Core Java (Java 17/21 preferred), focusing on multi-threading, concurrency, low-garbage-collection idioms, and memory modeling.
- Trading Expertise: Proven track record working directly on Order Management Systems (OMS), Execution Management Systems (EMS), or algorithmic trading platforms.
- Protocols & Data: Deep understanding of the FIX Protocol (Financial Information eXchange) and market data processing.
- Architecture Patterns: Strong expertise in event-driven architecture, messaging middleware (e.g., Kafka, Solace, RabbitMQ), and low-latency frameworks (e.g., LMAX Disruptor).
- Data Tier: Experience with high-performance databases (e.g., NoSQL, time-series databases like KDB+/TimescaleDB, or highly optimized relational databases).