Application Developer

Overview

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.

• Design, develop, and maintain robust and scalable software applications using Java/Kotlin, Spring Boot, Mongo
  
  DB, 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.

• 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, Mongo
  
  DB, 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, Git Lab 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