Senior Java Developer

• design, develop, and implement highly scalable and resilient API services for data access and processing, leveraging big data platforms
• conduct feasibility studies, time and cost estimates for new API-driven data solutions and establish and implement new or revised applications and systems to meet specific business needs or user areas
• monitor and control all phases of the development process (analysis, design, construction, testing, and deployment) for API-driven data applications, providing operational support
• utilize in-depth specialty knowledge of API development for big data environments and analytics to analyze complex problems/issues, evaluate business processes, system processes, and industry standards, and make evaluative judgments
• ensure essential procedures are followed and help define operating standards and processes for API-driven data infrastructure
• serve as an advisor or coach to new or junior analysts on API development and big data access best practices
• operate with a limited level of direct supervision, exercising independence of judgment and autonomy
• act as a Subject Matter Expert (SME) to senior stakeholders and/or other team members on data API technologies and their application in finance

• 3-5 years of demonstrable and relevant experience in software development, with a strong focus on API development and big data solutions
• expertise in developing high-performance APIs for large-scale data platforms and distributed systems
• extensive hands-on experience with data distribution platforms like Apache Kafka, and various big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low-latency access via APIs
• solid understanding of Java / Scala with a focus on building high-performance, concurrent applications
• strong experience with the Spring stack, particularly Spring Boot for building microservices that expose data via APIs
• expert-level understanding and demonstrable experience in REST API development for data reporting and consumption
• demonstrable experience in writing reusable, testable, and efficient code with proper error and exception handling, especially for fault-tolerant API services
• experience with the design and implementation of cloud-native applications and deployment via Kubernetes / OpenShift, specifically for managing API-driven data services
• hands-on experience in handling various data structures and optimizing them for API consumption and analytical queries
• experience with API Gateway, Circuit Breaker, Spring Security, Discovery Server, and monitoring services (e.g., Prometheus, Grafana) is a plus, particularly in an API-driven data ecosystem
• good understanding of data modeling, partitioning, and sharing of huge data sets for optimal performance in large-scale data platforms accessed via APIs
• experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, with a focus on rapid and reliable deployment of API services and data access layers
• familiarity with TeamCity, SonarQube, and Jenkins
• experience with the SDLC lifecycle and in working within an Agile environment, adapting to fast-paced data requirements
• demonstrable understanding and experience of engineering best practices: design patterns, coding standards, code review, and robust unit/integration testing (e.g., JUnit, Mockito) for API services
• strong experience with standard CI tools (Jenkins, TeamCity, SonarQube, Git)
• strong communication skills, oral and written, essential for explaining complex API-driven data architectures and solutions to business stakeholders
• ability to apply sound technical skills and knowledge of fixed income business to develop creative API-driven data solutions to meet client and business needs
• responsible, agile, and collaborative team worker, crucial for cross-functional API and data projects
• ability to develop strong relationships with others, effectively influencing peers and business partners
• self-motivated and organized, with determination to achieve goals
• ability to work autonomously when required in a fast-paced environment
• ability to face off to all business users (traders, financial controllers, risk managers, etc.) to understand their data access and API needs
• flexibility and ability to deliver quality results in the required timeframe
• flexibility to work with a global team, across geographies and time zones
• strong academic record, ideally with a bachelor's or master's degree in computer science, or related technical/quantitative discipline
• ideally, an understanding of financial derivatives (fixed income products) or willingness to learn about this area to effectively apply API-driven data insights

• experience with API Gateway, Circuit Breaker, Spring Security, Discovery Server, and monitoring services (e.g., Prometheus, Grafana) is a plus, particularly in an API-driven data ecosystem
• ideally, an understanding of financial derivatives (fixed income products) or willingness to learn about this area

flexibility to work with a global team across geographies and time zones