Rakuten Viber

Data Analyst

• Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
• Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
• Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
• Leverage the extensive data received from our application to enhance model performance and accuracy.

Director, Data Analytics – Risk and Fraud

QA Engineer

• Develop manual test scenarios and test suites.
• Maintain test documentation.
• Validate new functionality and ensure the flawless testing process.
• Create and maintain test documentation including test cases, checklists, test plans.
• Work with the product owner to ensure requirements are captured correctly; work with the development team to analyze and resolve defects.
• Report over the manual testing results and possible risks.
• Support the full cycle of defect tracking & management.
• Functional API testing.
• Collaborate with development teams and quality engineering team to identify and prioritize opportunities for automation.

Mobile QA Engineer

Android Engineer

• Participate in the development of the Viber client for Android, contributing to the enhancement and maintenance of existing features
• Collaborate with a diverse team of developers to efficiently produce new features and contribute to overall application improvements
• Quickly grasp clients’ requirements, technology needs, and solution architecture to deliver high-quality solutions
• Work closely with product managers, the design team, and others to develop appropriate solutions that align with user experience and design guidelines
• Deliver high-quality Android product to millions of users

Android Developer

• Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
• Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
• Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
• Leverage the extensive data received from our application to enhance model performance and accuracy.
• Research and develop deep learning models to identify bad actors, prevent fraud, build anomaly detection models, and perform analytics at high scale.
• Create alignment across different divisions, focus on strategic business KPIs, and lead other managers to collaborate and perform shared goals.
• Deliver outcomes that significantly impact the business by deploying solutions to production and measuring proven impact.

Director, Data Analytics – Risk & Fraud

Backend Engineer

• Develop and maintain high-traffic backend services handling over 1 billion messages a day and dozens of scalable services.
• Planning, designing, developing and maintaining Java high-availability applications that can be high-volume and low-latency.
• Develop new features, optimize performance, ensure data security, and solve complex technical challenges within a microservices architecture.
• Use Java with non-blocking and reactive approaches, Cloud services, and NoSQL databases.
• Define application objectives and functionality and ensure application designs conform with business goals.
• Support continuous improvement, investigate alternatives and technologies, and present for architectural review.
• Work closely with Product and Architects teams in a highly motivated team on large mission-critical systems.

Java Developer

• Planning, designing, developing and maintaining Java high-availability applications that can be high-volume and low-latency.
• Define application objectives and functionality.
• Ensure application designs conform with business goals.
• Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.
• Work in a highly motivated team, closely with Product and Architects teams on large mission-critical systems.
• Develop and maintain high-traffic systems (over 1 billion messages a day) and dozens of scalable services; ensure fast and reliable platform operation.
• Develop new features, optimize performance, ensure data security, and solve complex technical challenges within microservices architecture using Java, non-blocking/reactive approaches, Cloud services, and NoSQL databases.

iOS Engineer

• Design and development of Viber iOS client.
• Development of new features of Viber app.
• Improve code quality through writing unit tests and performing code reviews.
• Improve quality of application and bug fixing.
• Applications optimization and Code refactoring.
• Collaborate with cross-functional teams (support, product management, developers).

Director, Data Analytics – Risk and Fraud

Mobile QA Engineer

Android Developer

Director, Data Analytics – Risk & Fraud

Java Developer

Java Developer

Senior iOS Developer