Java software engineer állások VII. kerületben középiskolai végzettséggel

• 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

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

• 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

• 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

• Guidance of Kotlin backend developers in designing, developing, and maintaining software applications
• Setting technical direction and upholding code quality standards
• Collaboration with software architect to define and evolve system architecture for scalability, performance, and security

• Supporting the development of a stable and scalable Kotlin and Spring Boot back-end from the ground up
• Collaborating closely with Customer Support (L1) and Infrastructure Support (L2) teams to manage escalations and resolve operational issues

• 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

• 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

• 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

Munkakörhöz tartozó feladatok ellátása....

• 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

• 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

• Designing modern scalable applications
• Developing modern scalable applications
• Deploying modern scalable applications
• Creating intuitive user interfaces
• Developing APIs
• Optimizing cloud-based distributed systems
• Defining infrastructure as code for reliable and efficient deployments

• 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

• Line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Providing hands-on technical leadership as Solutions Architect and technical lead on cloud-native application projects

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

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