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Lead Java Developer
3 months ago
Responsibilities :
Develop distributed systems that handle actor-based concurrency, reactive programming, distributed in-memory data grids, and messaging, aiming to shape the future of financial technology stacks. Collaborate on server-side JVM-based projects. Engage proficiently with the Java or Scala JVM ecosystem stack (including Spring and its subprojects, Guice, Guava, Maven, Hibernate, Jetty, etc.). Adapt continuously to evolving technology landscapes. Acquire proficiency in other technologies across the development stack, encompassing front-end and non-JVM ecosystems. Collaborate with clients in iterative, project-based engagements, fostering self-organizing and focused teams to swiftly build innovative solutions. Embrace collaboration, sharing, and learning from colleagues. Commit to delivering quality code. Demonstrate expertise in writing commercial-grade software applications. Possess a profound understanding of multithreading and real-time software architectures. Exhibit a genuine interest in and capability for solving real-world business problems, leveraging technology as an enabler. Demonstrate determination to succeed despite obstacles and challenges, with a positive attitude favoring goal achievement over open-ended investigation.
Required Skills and Experience :
10+ years of hands-on experience in designing and building complex, commercial-grade applications in core, server-side Java, preferably Java 8+. 5+ years of experience leading Agile teams. Willingness to take accountability for the team’s actions and outcomes. Proactive decision-making based on project and technology comprehension. Commitment to sharing knowledge, guiding team members, and leading learning sessions. Flexibility to adapt to changes in project requirements, technology, and team composition. Experience in developing RESTful Web Services. Test-driven development, including Unit and End-to-End Testing. Familiarity with Agile software development methodologies (, SCRUM or KANBAN). Experience in a CI/CD environment. Fluent Kafka, real experience with Streams, streams transformations and other APIs Fluent Redis, real experience with using Redis as scale (storing complex data models and high rate of read/writes). Fluent data modeling skills (entity design, relationships, mappings, transformations). Fluent SQL, comfortable working with data without ORM. Experience with (de)serializing data across different formats. Experience building and managing schemas, using schema registries. Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Math, or related work experience. Knowledge of, experience with, and a demonstrated interest in global financial markets and financial products. Lab49/