Overview
On Site
Full Time
Skills
Management
Fraud
Risk Management
Banking
RESTful
Microservices
Continuous Integration and Development
Debugging
Emerging Technologies
Testing
FOCUS
Java
Kotlin
Spring Framework
MongoDB
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Scalability
Jenkins
GitLab
Continuous Integration
Continuous Delivery
Docker
Orchestration
Kubernetes
Agile
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Collaboration
Splunk
Job Details
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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.