Java software engineer állások XIV. kerületben középiskolai végzettséggel

• Real-Time Decision Making Using Machine Learning For Risk Assessments
• Enabling Risk Infrastructure For Instant ACH Transfers
• Cross-Functional Collaboration With Software Engineers, Data Analysts, And Data Scientists

• Building infrastructure for FAQs, self-service pages, and chat platform
• Enabling smarter customer interactions
• Automating solutions
• Helping other teams deliver better support experiences
• Delivering seamless, impactful solutions across all Wise platforms
• Building stable, scalable systems

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Designing Target Technical Architecture for Customer requirements
• Development of Profound code
• Capabilities to introduce new relevant Technologies those benefit customer

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

Munkakörhöz tartozó feladatok ellátása....

• Design and implementation of the server architecture of the flagship product iREMS
• Finding solutions and developing to production stage for complex problems
• Collaboration with teams located in Budapest and Oradea ensuring constructive communication with co-developers and consulting/support teams

• Development and maintenance of high-quality backend services using Spring Boot and Java (versions 11 through 21)
• Implementation and management of high-performance networking solutions using Netty for raw socket communication with embedded devices

• Back-end fejlesztés
• Banki rendszerfejlesztés
• Core banki rendszer cseréjében való részvétel
• Technológiai átállásban való aktív részvétel
• Meglévő rendszerek személyre szabása, add-on fejlesztés
• Szoftvertervezési és -fejlesztési feladatok önálló és csapatban történő megoldása

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools