Javascript állások, munkák Budapesten

• Account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible gaming

• Owning the quality architecture for the Scoring engine
• Building reliable automated coverage across UI, API, and deep service layers
• Operating as a power user of AI-first IDEs to scale test coverage
• Acting as an AI-First Test Engineer during PR reviews to enforce quality gates

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

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

• Development of low-level software to integrate new Arm architecture improvements spanning Linux, Android, and related user-space components
• Development and optimisation with a focus on performance, energy conservation, and protection

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Management of a team of talented QA engineers
• Overall responsibility for the QA automation framework and manual testing strategy for mobile platforms
• Overall responsibility for quality processes for mobile platforms
• Ensuring smooth functioning of technical operations

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

• Definition and evolution of target architecture for gaming backend services
• Translation of functional and non-functional requirements into solution designs and technical roadmaps
• Promotion of modular, loosely coupled, and reusable services

• 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

• Kereskedelmi és ipari szektorban dolgozó ügyfelek digitalizációs problémáit megoldó zöldmezős webes applikációk és mobil app-ok backend fejlesztése
• Szoftverek teljes architektúrális tervezésében és kialakításában való részvétel senior jelölt esetén

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion strategies for benefits of new features to software ecosystems and resolving adoption issues

• 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

• 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

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 connecting customers to automation solutions

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel

• 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

• 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