Design, build, and maintain scalable Java/Spring Boot backend services; implement event-driven systems with Kafka (producers/consumers, stream processing); design and optimize caching with Redis and in-memory strategies; perform performance tuning and bottleneck analysis; take end-to-end ownership of components, debug production issues, and collaborate in fast-paced environments while enforcing code quality and reusable designs.
We are looking for a highly skilled and self-driven 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.
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