Design, develop, and maintain robust backend services, APIs, and data integration layers to support product features. Ensure system reliability and performance through code reviews, database optimization, and proactive monitoring.
RYZ Labs is looking for a highly skilled Backend Engineer to collaborate with one of our clients. An AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale.
What You'll Do
Design, develop, and maintain robust backend services, APIs, and data integration layers that power key product features.
Review design documents, perform code reviews, and weigh in on implementation choices from other technical teams.
Write clean, efficient, and easily maintainable code, strictly adhering to established coding standards and best practices.
Enhance overall code quality, performance, and security by participating in thorough code reviews.
Design and optimize database schemas and queries to guarantee high performance and system reliability.
Contribute to the testing infrastructure to increase code coverage for backend modules.
Troubleshoot and resolve technical issues quickly and effectively across both development and production environments.
Advance monitoring and alerting capabilities of backend modules to allow proactive improvements to availability and response times.
What You'll Need
5+ years of hands-on experience in designing and developing applications using Java, Kotlin, and/or Scala. This includes exposure to a web framework like Spring.
Developed and launched large scale consumer applications with the backend on cloud infrastructure (AWS, Google Cloud, or Azure) using microservices architecture paradigms.
Proven problem-solving abilities and a strong drive for independent learning and work.
Expert knowledge in REST API design and development for mobile/web use.
Expert knowledge in architecture & system design.
Expert proficiency in Agile development process
Nice to Have
Exposure to containerization technologies, such as Docker or Kubernetes.
Familiarity with MariaDB.
Familiarity with Kafka.
Familiarity with production monitoring tools, including logging (e.g., Sumo Logic, Kibana), basic APM (Application Performance Monitoring) tools, and observability frameworks such as OpenTelemetry.
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