Full stack developer java állás, munka

• Building resilient backend microservices in Java (Spring Boot)
• Building intuitive, accessible frontends using React and TypeScript
• Building centralized tools that aggregate data across multiple fincrime topologies
• Developing common components of risk mitigation handling

Szoftverfejlesztésben jártas, tapasztalt backend fejlesztőt keresünk! Tapasztalt, összetartó csapat versenyképes fizetés, Budapesti iroda....

• 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

• 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

• 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

Design and implementation of core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer...

• 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

• 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

• 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

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain the entitlement decision cache with invalidation on entitlement changes

• 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

• 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

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Development of a highly scalable system to orchestrate information requests from customers
• Provision of infrastructure for insights into operational cost and risk associated with Wise products
• Automation of servicing processes through a rich API in a distributed environment

• 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

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure