Java Developer; VP Level - Banking

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.

• 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.

• 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.

• 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.

• 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., No
  
  SQL, time‑series databases like KDB+/Timescale DB, or highly optimized relational databases).

• Experience:
  
  10+ years of software engineering experience in capital markets, investment banking, or fintech, with at least 3+ years in a team lead or management capacity.
• Financial Domain:
  Strong understanding of financial instruments (Equities, Fixed Income, Derivatives, or FX) and market structures (order books, matching engines, compliance checking).
• Education:
  
  Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.