Junior Java Engineer

September 21

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Logo of Kyriba

Kyriba

SaaS ā€¢ Risk Management ā€¢ Cash Management ā€¢ Payments ā€¢ Liquidity Management

501 - 1000

Description

ā€¢ We are looking for a motivated and passionate Junior Java/Python Developer. ā€¢ The ideal candidate should have a good understanding of software development principles, hands-on experience in Java/Python, and a strong desire to learn and grow. ā€¢ Work closely with senior developers and engineers to design, develop, and maintain the Kyriba Data Platform. ā€¢ Develop, test, and maintain Kyriba Data Platform services using modern technical stack. ā€¢ Troubleshoot, debug, and resolve software issues. ā€¢ Participate in all the development-related ceremonies. ā€¢ Work with various technologies and frameworks. ā€¢ Participate in developing Production-scale services based on ML models. ā€¢ Assist in integrating, deploying and troubleshooting applications in development, testing, and production environments. ā€¢ Continuously improve your skills and knowledge of software development tools, techniques, and methodologies.

Requirements

ā€¢ Required Intermediate (or upper) level of English. ā€¢ Solid understanding of basics in Java programming language (Python knowledge is a big plus but is not mandatory). ā€¢ Comprehensive knowledge of programming algorithms and data structures. ā€¢ Familiarity with software development life-cycle and version control systems like Git. ā€¢ Understanding of object-oriented programming (OOP) concepts and design patterns. ā€¢ Good problem-solving skills and attention to detail. ā€¢ Strong willingness to learn and adapt to new technologies. ā€¢ Ability to work well in a team and communicate effectively. ā€¢ Optional Understanding and basic knowledge of Cloud and Cloud Platforms. ā€¢ Experience with Java/Python development frameworks. ā€¢ Familiarity with RESTful APIs, databases (SQL) and Big Data technologies (Spark, Kafka, etc). ā€¢ Basic understanding of containers (Docker) and their orchestration (Kubernetes). ā€¢ Knowledge of data modeling techniques and best practices. ā€¢ Basic understanding of DevOps concepts such as CI/CD, automation, and Cloud infrastructure.

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