Java software engineer állások XI. kerületben (ai és automatizáció)

• Az üzleti alkalmazások fejlesztéséhez, kiadáskezeléséhez és üzemeltetéséhez kapcsolódó feladatok automatizálása (Gitlab, Gitlab CI, Jenkins, Bitbucket)
• Szoftverfejlesztési folyamatok automatizálása, kódminőség javítása, a fejlesztő csapatok támogatása (SonarQube, ArgoCD, Snyk, Trivy, Nexus)

• Backend applications development and support
• Documentation and testing
• Connection and integration with external systems through APIs

• 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

• 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

• Building and optimizing scalable data warehousing and lakehouse solutions
• Creating and owning robust ELT pipelines connecting multiple internal and external data sources
• Designing and implementing data models aligned with industry best practices

• 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

• 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

• End-to-end IT project leadership and management
• Collaboration coordination between internal teams and external vendors
• Alignment driving between business needs and technical implementation
• Solution integration into existing IT landscape
• Communication and alignment facilitation across stakeholder groups

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

Ownership of larger functionality of Case Platform Design and implementation of backend services using Java 17+, Spring Boot, and modern architectural patterns Contribution of production-quality code Performance of design reviews Driving architectural decisions Ensuring reliability and operational...

• 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 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
• Serving as dedicated Solutions Architect and technical lead on strategic cloud-native application development projects

Collaboration with team members in a multi-office, multi-country environment Delivery of high efficiency, high availability, concurrent and fault tolerant software systems Working with product management and business users to define the product roadmap Identification and driving of opportunities to...

• 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

• 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

• 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