New 
Application Developer
 Genesis10 | |
 United States, Arizona, Scottsdale | |
 Jan 08, 2026 | |
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SUMMARY:
Software Engineer - Java (CFRT) The Software engineer, Credit and Fraud risk technology is responsible for building and maintaining risk decision systems that scale across products with a unified approach to rule/business logic management. Part of the Credit & Fraud risk technology group, this individual will contribute to the design and delivery of robust, scalable microservices in support of digital banks mission-critical decisioning infrastructure. PRINCIPAL DUTIES & RESPONSIBILITIES: Design, develop, and maintain robust and scalable software applications using Java/Kotlin, Spring Boot, MongoDB, and related technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Architect and implement secure and efficient RESTful APIs and microservices. Integrate CI/CD pipelines and automate the build, test, and deployment processes. Ensure code quality through code reviews, testing, and continuous integration. Troubleshoot and debug production issues and provide timely resolutions. Stay updated with the latest industry trends, best practices, and emerging technologies. POSITION SPECIFICATIONS: BS degree with 3 years working in coding, testing and monitoring. Masters degree is preferred. Proven experience as a Java/Kotlin Developer or Software Engineer, with a focus on building enterprise-level applications. Strong proficiency in Java/Kotlin, Spring Boot, MongoDB, and related frameworks and libraries. Experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment and scalability considerations. Solid understanding of CI/CD principles and experience with tools like Jenkins, GitLab CI/CD, or similar. Familiarity with containerization technologies like Docker and container orchestration frameworks like Kubernetes. Knowledge of Agile development methodologies and experience working in Agile teams. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Knowledge of observability platforms such as Splunk, Datadog etc | |