Staff Level Java Engineer

Overview:

An international financial firm is seeking two highly skilled engineers to help scale out and modernize its production trading platform. This is a hands-on role working on critical components such as matching engines, smart order routing, and real-time trading infrastructure. The right candidates will thrive in high-volume, low-latency environments and bring deep expertise in building performant, resilient trading systems.

Key Responsibilities:

• Design, build, and optimize low-latency, high-throughput trading systems, including matching engines and smart order routers.
• Develop and maintain components using Java on Linux (5 years’ experience required).
• Work with multi-threaded, real-time systems and optimize for ultra-low latency and high availability.
• Implement high-performance messaging and interprocess communication frameworks such as Aeron and Sequencer.
• Design and maintain relational database solutions (MS SQL Server, Sybase, PostgreSQL).
• Build and support 24x7 always-on applications where downtime must be minimized and operational tooling is critical.
• Develop solutions leveraging FIX Protocol for connectivity and trading workflows.
• Contribute to big data initiatives with HBase and MapReduce.
• Integrate with messaging systems (Kafka, Solace, RabbitMQ, JMS, etc.).
• Collaborate with team members to implement DevOps practices and containerization (Docker).
• Contribute to cloud strategy and deployments using AWS.

Qualifications:

• Strong Java development skills in Linux environments (5 years).
• Experience with low-latency trading systems (matching engines, order routing, market data distribution).
• Proven ability in system optimization for throughput, GC tuning, and performance profiling.
• Solid understanding of relational databases (MS SQLServer, Sybase, PostgreSQL).
• Deep knowledge of FIX protocol.
• Proficiency in UNIX shell scripting and at least one scripting language (Python, Perl, Ruby).
• Experience with Aeron for high-performance messaging and/or Sequencer frameworks.
• Big data experience (HBase, MapReduce) preferred.
• Familiarity with Docker and modern CI/CD practices.
• Cloud knowledge with AWS is a strong plus.
• Background from a top-tier school preferred.
• Strong communication, ability to work independently, and a self-starter mindset.

Why Join:

• Work on mission-critical trading infrastructure at scale.
• Join a collaborative, small team environment with high visibility.
• Opportunity to work with cutting-edge low-latency technologies.
• Hybrid schedule (2 days onsite in NYC).