Java software engineer állások IX. kerületben középiskolai végzettséggel

• Felhőalapú PaaS vagy SaaS megoldások és on-premise rendszerek támogatása
• Low-code / no-code alkalmazások konfigurálása
• Programozás az adott alkalmazások natív nyelvein
• Adatbetöltési és adatfrissítési feladatok végrehajtása
• Integrációk kialakítása különböző alkalmazások között

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

Munkakörhöz tartozó feladatok ellátása....

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic connecting customers to automation solutions

• Building a scalable and reusable platform for efficient operational processes
• Working closely with cross-functional teams to ensure smooth operation of tooling platform
• Standardising and enabling Servicing Operational processes via common abstractions and out of the box solutions

• Ensuring the completion of development tasks to support the new release of projects/solutions
• Grooming user stories with Product Owner
• Supporting production requests or fixing issues
• Unit testing applications and reporting daily progress on daily stand-up meetings

• Leading, coaching and mentoring a team of engineers
• Collaborating daily with product managers, data analysts and designers to improve onboarding flows and processes
• Shaping the roadmap and setting the technical and product vision with the Product Manager and team

• Creation of infrastructure for FAQs and self-service pages
• Launching and improving a chat platform as a primary support channel
• Enabling smarter customer interactions
• Automating solutions for customer support
• Helping other teams deliver better support experiences

• Leading a small, senior engineering team building production LLM systems
• Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production
• Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions

• 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

• 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

• 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 and maintaining robust and scalable backend systems
• Tackling significant development tasks independently
• Contributing to project delivery
• Collaborating closely with the team on feature implementation and issue resolution
• Playing a key role in cross-team collaboration

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• 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

• 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

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• 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