Java software engineer állások XII. 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

- Üzleti modulok fejlesztése Java, SpringBoot alapú technológiákkal - Tervezésben való részvétel - Új technológiák kutatásában való közreműködés...

• 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

• 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 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

• Fejlesztés és karbantartás magas rendelkezésre állású, grid alapú kockázat- és szcenáriórendszerek
• Felhőalapú natív megoldások optimalizálása több szolgáltatónál
• Teljes fejlesztési életciklusban való részvétel (fejlesztés, tesztelés, telepítés) agilis módszertanok alkalmazásával

• Development and maintenance of scalable web applications using Angular or React
• Building and optimizing RESTful APIs and microservices using Node.js, Java, or .NET
• Definition and management of cloud infrastructure using Infrastructure as Code such as Terraform or OpenTofu

• 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

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

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations

• 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

• 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

• 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

• Real-Time Decision Making With Machine Learning Risk Assessments
• Ownership Of Risk Infrastructure For Instant ACH
• Cross-Functional Collaboration With Software Engineers, Data Analysts, And Data Scientists
• Future-Proofing Risk Systems For Comprehensive Risk Types Including Sanctions And AML

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