Full stack developer java állások IX. kerületben (ai és automatizáció)

• 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

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes
• Deployment automation, monitoring, troubleshooting and incident resolution

• 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

• Work within a Scrum team focused on maintenance and development of high-quality web applications with automated integrated pipelines
• Dig deep into complex challenges and explore and implement innovative solutions

• Tesztframework továbbfejlesztése adat- és alkalmazásmigrációs szkriptek tesztelésére
• Migrációs tesztesetek elemzése, tervezése és specifikálása
• Adatbázis- és szolgáltatásszintű összehasonlító tesztek kialakítása
• Funkcionális ellenőrzések és mintavételes alkalmazásszintű tesztek végrehajtása

Analysis of large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence...

• Building and maintaining robust and scalable systems
• Collaborating on feature implementation and issue resolution
• Discovering main problems in the space
• Driving long-term technical strategy around ownership
• Balancing immediate business needs with sustainable architecture and long-term scalability

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

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

• 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

• Development and implementation of CoreMedia-based content management systems for web projects
• Integration and optimization of Deutsche Telekom interfaces and services into CoreMedia-based systems
• Technical planning, system architecture and execution of complex software projects

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• 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
• Collaborative work to provide technical solutions and implement new software features

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• 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

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Providing technical assistance and guidance to 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