Java Developer with strong experience in Java and Spring Boot to design, build, and maintain scalable backend systems. The ideal candidate has hands-on expertise with Kafka and event-driven architectures, including producer/consumer patterns and stream processing, and a deep understanding of caching technologies such as Redis and in-memory caching strategies to drive performance optimization and system scalability. This role requires engineers who are comfortable working independently, taking full ownership of complex components, and making sound architectural and design decisions. The successful contractor will thrive in a fast-paced environment, contribute effectively with minimal handholding, and consistently deliver high-quality, resilient solutions while collaborating with cross-functional teams as needed.

• Design, develop, and maintain scalable backend services using Java and Spring Boot
• Build and support event-driven architectures leveraging Kafka, including producer/consumer implementations and stream processing
• Take end-to-end ownership of complex system components, from design through deployment and support
• Make sound architectural and design decisions aligned with performance, scalability, and reliability requirements
• Implement and optimize caching solutions using Redis and in-memory caching strategies to improve system performance
• Perform performance tuning, bottleneck analysis, and optimization across services and data flows
• Ensure high code quality through clean design, reusable components, and best practices
• Debug, troubleshoot, and resolve production issues with minimal supervision
• Collaborate effectively with cross-functional teams while working independently with minimal handholding
• Contribute in a fast-paced environment, delivering reliable solutions within tight timelines
• Participate in code reviews and technical discussions to continuously improve system design and engineering standards

Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.