Responsibilities

• Build distributed systems that deal with actor-based concurrency, reactive programming, distributed in-memory data grids, messaging that goes beyond plain JMS as we fully expect to participate in shaping the future of financial technology stacks


• Work on server side JVM-based projects


• Hit the ground running with the typical Java or Scala JVM ecosystem stack (Spring and its subprojects, Guice, Guava, Maven, Hibernate, Jetty, etc.)


• Retool continuously as the technology landscape changes every few years


• Be able to pick up other technologies along the whole development stack, including front-end and other non-JVM ecosystems


• Work with our clients in iterative, project-based engagements, where self-organizing and focused teams move quickly to build innovative solutions for the client


• Have the desire to collaborate, and like sharing and learning from your colleagues


• Be passionate about delivering quality code


• Demonstrate experience writing commercial-grade software applications


• Have a deep understanding of multithreading and real-time software architectures


• Have an abiding interest in and competence for solving real-world business problems (with technology as an enabler)


• Be determined to succeed despite obstacles and challenges, as well as a positive attitude favoring achievement of goals over open-ended investigation

Required Skills and Experience

• 8+ years of recent hands-on experience in designing and coding complex, enterprise, commercial-grade applications in core, server-side Java, ideally Java 8+


• Experience building RESTful Web Services


• Test-driven development, which includes Unit and End-to-End Testing


• Experience with Agile software development (e.g. SCRUM or KANBAN)


• Experience in a CI/CD environment


• Bachelors or Masters in Computer Science, Engineering, Physics, Math, or related work experience


• Experience with, knowledge of, and strong demonstrated interest in, global financial markets and financial products.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.