Java backend engineer állások, munkák Budapesten

We are looking for a JAVA BACKEND SOFTWARE ENGINEER to build and optimize backend services supporting large-scale video streaming platforms for our international partner, just building up their team in Hungary. The role focuses on Java development, event-driven systems, RESTful APIs, AWS-based...

• Champion a strong culture of safety and security, ensuring it is embedded in every aspect of your work and delivery
• Design, develop, and enhance backend components and integrations that support Identity & Access Management (IAM) solutions within the Supply, Trading & Shipping domain

• Java alapú alkalmazások karbantartása, fejlesztése és optimalizálása
• Üzleti és technikai igények alapján önálló feladat priorizálás és végrehajtás
• Technikai dokumentációk készítése és frissítése
• Kapcsolattartás a fejlesztői csapatokkal, üzemeltetéssel és más érintett szereplőkkel

• Designing scalable platforms
• Building infrastructure that empowers teams and accelerates product development
• Building foundational services for global market features
• Designing a centralised risk platform unifying data and decision-making

• Design and implement automated test cases for backend, frontend, or API-based systems
• Collaborate with distributed teams across multiple time zones
• Participate in requirement analysis to ensure testability and clarity

• Collaboration with global network of technologists, designers, and strategists
• Development of cutting-edge products
• Mentoring client teams
• Shaping engineering cultures
• Hands-on work with clients across industries
• Development of software products and services from the ground up

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

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• 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