Senior Developer

ICE Data Analytics platform provides best-in-breed risk analytics for the entire Fixed Income and Mortgage markets. Our growing technological systems are based on modern distributed architectures, including cloud-based solutions, that provide scale, high-availability, stability, and the resilience that our clients expect and demand systems and data that fuel their enterprises.

Several strategic and business-critical development initiatives are underway to develop and extend our complex Fixed Income analytics using the latest architecture and technologies. We are also committed to leveraging the best practices in Object Oriented Design and Development in this endeavor. To support rapid development, we continue to invest in developing the highest level of code quality and comprehensive test coverage. In addition to developing new automated tests and scenarios, we look for ways to break our code so we can identify issues quickly. This enables us to deploy complex, reliable, and extensible solutions for our customers.

The Senior Java Developer will play a key role in designing and developing the new platform to support our growth in business in fixed income portfolio analytics. The platform is architected as a distributed system of services to manage data intensive computations of fixed income analytics across a large compute farm. We leverage the best-in-breed software tools and development practices in the Java environment.

Responsibilities

• Engage with key business and technology stakeholders to define comprehensive functional and technical designs.

• Partner with the software engineering team and senior leadership to architect and deliver end-to-end solutions.

• Design, develop, and implement robust full stack solutions utilizing Java.

• Lead and actively contribute to project initiatives within an Agile development framework.

• Collaborate with Quality Assurance to establish thorough and effective test strategies for each release cycle.

• Prepare detailed system and training documentation as required.

• Demonstrate flexibility in work hours to ensure alignment with project timelines and successful delivery.

• Provide technical programming support and subject matter expertise to team members as needed.

• Bachelor’s Degree in CS or Math preferred or equivalent professional experience.

• 3+ years of software development experience.

• Extensive experience in designing and implementing object-oriented solutions utilizing Java 8 and above.

• Advanced proficiency in Spring Boot, Spring Framework, and Kafka.

• Proven track record in developing and integrating solutions within cloud environments such as AWS.

• Expertise in both relational and distributed data stores, including Oracle 19c and Cassandra.

• Practical experience with containerized application development and deployment using Docker and Kubernetes.

• Demonstrated application of contemporary software development lifecycle methodologies.

• Strong commitment to delivering high-quality, thoroughly tested software solutions.

• Exceptional written and verbal communication skills.

• Hands-on experience in developing full-stack solutions for Windows and Linux web-based platforms.

• Collaborative team player with a proven ability to work effectively with fellow software engineers.

• Highly self-motivated, disciplined, and accountable for delivering precise and timely results.

• Demonstrated ability to leverage AI-powered development tools (such as GitHub Copilot and Anthropic Claude Code) to accelerate coding tasks, automate routine processes, and enhance overall development efficiency.

• Applied experience utilizing AI-assisted solutions to improve code quality through intelligent suggestions, error detection, and automated refactoring, resulting in more robust and maintainable software.

Preferred Knowledge and Experience

• Familiarity with front-end technologies including JavaScript, TypeScript, and Node.js, supporting development of full-stack solutions.

• Exposure to OpenShift as an enterprise container platform within production or staging environments.

• Proficient in integrating AI-driven tools into daily workflows to facilitate rapid prototyping, streamline documentation, and support collaborative problem-solving within engineering teams.