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Java Developer for Real-Time Fraud Detection Solutions
4 weeks ago
About RS Software
RS Software is a leading provider of global payment platforms, with a presence in four continents. Our product suite combines knowledge systems built over 30 years, delivering mission-critical payment solutions that combine innovation and entrepreneurship to create the new gold standard for digital payments.
We are focused on the global payments modernization market, providing large-scale, high-performance payment systems, serving central infrastructures, financial institutions, payment network providers, payment processors, and software companies providing products to the payment industry.
Our solutions today are installed in 12 of the top 20 banks in India, and the four major platforms built by RS Software cumulatively process annually 350+ billion transactions worldwide, giving the company a rare track record in the payments domain.
Why RS Software?
RS Software provides a unique experience of engaging in world-class product development and prestigious large-scale payment platforms that cater to billions of people.
We offer ample career opportunities to hardworking and skilled employees, with a Talent Management Program designed to identify the interests of each employee and match them with suitable career paths within their desired domains.
Job Overview:
As a Product Team – Java Developer, you will play a key role in designing, developing, and optimizing features for our real-time fraud detection solution. You will work closely with cross-functional teams to deliver high-performance, scalable, and secure software components.
Key Responsibilities:
- Design, develop, and maintain robust, scalable, and high-performance software solutions using Core Java and Spring Boot.
- Implement and maintain microservices architecture for our real-time fraud detection solution.
- Develop and integrate REST APIs to ensure seamless communication between services.
- Utilize Spring Boot Cloud Services to enhance the scalability and reliability of the fraud detection platform.
- Apply OOP (Object-Oriented Programming) concepts to create clean, modular, and maintainable code.
- Leverage multi-threading and data concurrency handling to build efficient, real-time fraud detection processes.
- Manage data access and manipulation using JDBC and JPA (Java Persistence API).
- Handle FTP operations within the code to manage file transfers securely.
- Collaborate with the DevOps team to enhance deployment processes and maintain the reliability of our microservices.
- Work closely with the data science team to integrate machine learning models into the fraud detection system.
- Monitor and optimize system performance to handle large volumes of transactions and data efficiently.
Required Skills and Experience:
- Strong proficiency in Core Java (preferably version 17+) and in-depth knowledge of OOP (Object-Oriented Programming) & Functional Programming (Stream & Lambda) concepts.
- Core Java Design patterns and anti-patterns
- Hands-on experience with Spring framework, Spring Boot, and Spring Cloud with clear understanding of their correlations.
- Experience in building and consuming REST APIs.
- Strong understanding of microservices architecture and related frameworks.
- Experience with nuances of and complexities associated with multi-threaded environs & data concurrency in Java applications.
- Proficiency in JDBC and JPA for data persistence and management and selection criteria for choosing one of them.
- Expertise in RDBMS Query like CTE, window function etc.
- Experience with FTP handling from within code for secure data transfer.
- Familiarity with CORS (Cross-Origin Resource Sharing) and its implementation for secure web communications.
- Familiarity with Kafka, Zookeeper, Redis, and NoSQL databases like Cassandra.
- Strong problem-solving skills and ability to work in a fast-paced, agile development environment.
- Excellent communication and teamwork skills, with the ability to collaborate effectively across teams.
- Familiarity with the conversion from functional requirement to the technical one and low-level design considerations.
- Familiarity with build tools like Maven, Gradle, etc.
- Familiarity with common coding standards/best practices and SonarQube.
- Proficiency in Container (like Docker), orchestration system (like Kubernetes), Cloud platforms (like AWS/CGP/Azure, etc.)
- Familiarity with version management tools like Git and collaborative tools like JIRA.
Preferred Skills:
- Experience working with real-time payment systems or fraud detection solutions.
- Knowledge of machine learning integration in Java-based applications.
- Familiarity with CI/CD pipelines and cloud deployment strategies.
- Understanding of security best practices in web and API development.