Senior Associate Java Developer

Join a dynamic team building high-performance Java and Scala microservices that support real-time trading and execution systems. This hybrid role in New York, NY offers the chance to work on complex, low-latency platforms where precision, scalability, and strong engineering practices truly matter.

Responsibilities

• Design and develop scalable microservices that support real-time execution and trading workflows.
• Build and enhance Java/Spring Boot applications with a focus on performance, reliability, and maintainability.
• Collaborate with quants, product partners, and technical teams to turn execution strategies into production-ready solutions.
• Improve application speed through careful tuning of concurrency, memory usage, and garbage collection behavior.
• Support system resiliency by helping implement risk controls, automated safeguards, and monitoring within the platform.
• Contribute to the full trade lifecycle, including order handling, execution, clearing, settlement, and audit support.
• Work with high-performance messaging and data technologies to support fast and accurate transaction processing.
• Participate in testing, code quality, and CI/CD practices to help ensure consistent delivery.

Skills

• Strong hands-on experience with Core Java, preferably Java 17 or newer.
• Production experience with Scala and functional programming concepts.
• Experience building microservices with Spring Boot and related JVM-based frameworks.
• Deep understanding of multithreading, concurrency, and Java memory management.
• Background in trading systems, including order management and execution workflows.
• Familiarity with market data concepts and low-latency, high-availability systems.
• Experience with containerization and cloud-native development practices.
• Ability to work in a fast-paced environment with strong attention to detail and problem-solving skills.
• Must have financial services experience.
• Scala experience is required.

Preferred Skills

• Experience with Kafka, Solace, Aeron, Redis, or Hazelcast.
• Exposure to Docker, Kubernetes, and service mesh technologies.
• Familiarity with TDD/BDD practices and CI/CD tools such as Jenkins or GitLab CI.
• Knowledge of regulatory considerations relevant to trading environments.
• Experience supporting performance-sensitive or algorithmic platforms.

Horizontal is committed to building inclusive teams where diverse perspectives are valued and respected. We welcome applicants from all backgrounds and encourage people with a range of experiences to apply.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.