Java gyakornok állások Budapesten (it programozás, fejlesztés)

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems
• Delivering tangible impact by securing customers' money
• Accelerating product growth by raising automation levels

• Leading a team of engineers to increase delivery capacity for project rollout
• Owning technical execution across frontend and full stack workstreams aligned to a scalable platform model
• Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Assessment and clarification of customer functional requirements related to the system/software jointly with business consultants
• Development and modification of applications or part of the application
• Preparation of related documentation

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 for automation solutions

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Development of infrastructure providing insights into operational cost and risk associated with Wise product ownership
• Enhancement of product to reduce Wise's cost for customers and enable smoother experience when additional information is required

• Keeping contact and cooperating with teams located in Hungary and in Germany
• Ensuring smooth and intense communication with colleagues and partners
• Writing software design documents
• Working with stakeholders for review and approval
• Designing new functionalities
• Implementing new functionalities

• Üzleti alkalmazások fejlesztése frontend- és backend-oldalon egyaránt
• Fejlesztési feladatok szakmai vezetése és megvalósítása
• Új technológiai megoldások és fejlesztési javaslatok beépítése különböző rendszerekbe
• Meglévő fejlesztések támogatása, hibák felderítése és javítása

• Development and enhancement of Java-based applications and components
• Design and implementation of new features
• Optimization and refactoring of existing solutions
• Technical analysis and troubleshooting of issues
• Development and maintenance of integrations

• Cobol alapú rendszerek fejlesztése és karbantartása
• Üzleti logika implementálása nagyvállalati környezetben
• Rendszerek működésének megértése és optimalizálása
• Hibakeresés és problémamegoldás
• Együttműködés modern technológiákkal dolgozó csapatokkal

• Automatizált UI és end-to-end tesztek fejlesztése webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek karbantartása webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Leading and mentoring a team of ML engineers
• Owning model quality end-to-end from experimentation to production-ready artifact
• Conducting regular 1-on-1s for career development and feedback
• Driving task prioritization, sprint planning, and resource allocation

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• Komplex AI megoldások fejlesztése ügyfelek számára
• RAG alapú megoldások fejlesztése Python/LangChain vagy Java/Spring AI technológiákkal
• Open source LLM-ek integrálása ügyfélrendszerekbe cloud és on-premise környezetben Kubernetes használatával

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Analysis and understanding of business, functional and technical requirements
• Coordination of testing activities within a Scrum Software Development Team
• Definition, maintenance and continuous improvement of the technical and conceptual testing framework