Javascript állás, munka

• Developing new and enhancing existing Risk Management applications
• Designing and implementing solutions for large-scale data processing and complex calculations
• Working with large datasets and database-driven applications

• Implementing complex ServiceNow solutions, including system configuration and development of custom features
• Providing advanced technical consulting and supporting quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• Planning and leading the technical implementation of ServiceNow solutions, including system configuration and development of custom features
• Architecting and designing scalable and robust ServiceNow solutions
• Providing advanced technical consulting and supporting quality assurance activities

• Olyan ServiceNow megoldások tervezése, amelyek megfelelnek a jelenlegi és jövőbeli projektek üzleti, funkcionális és megfelelőségi követelményeinek
• Szoros együttműködés a Scrum csapattal a backlog elemek átdolgozása, a követelmények tisztázása és pontos becslések készítése érdekében

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek - pl. React, Angular, Vue.js használatával
• A felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Az alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Üzleti igények felmérése, elemzése és dokumentálása, valamint éles környezetben paraméterek beállítása időnként
• Kapcsolattartás az üzleti területek és a fejlesztői csapatok között
• Funkcionális és rendszertervek elkészítése
• Követelmények specifikálása, user story-k és üzleti folyamatok definiálása

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok (pl. SQL Server, PostgreSQL, NoSQL) kezelése és optimalizálása

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments, balancing reliability, security, maintainability and cost...

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Building tools and automation that help Wise's FinCrime teams develop and improve machine learning models
• Working on model experimentation, bias and fairness, automated training-set maintenance, and threshold analysis

• Owning the security of the application code, dependencies, APIs, and development lifecycle behind Canvas, Mastery, and Parchment products
• Forming a defensible view of how much risk something actually carries, driving that risk down, and handing whatever remains to the risk management program

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• Leading the optimisation and continuous improvement of Dynamics 365 Sales
• Gathering requirements and translating business needs into effective solutions
• Facilitating workshops and collaborating with stakeholders at all levels
• Designing and implementing scalable processes, workflows and automations

• Developing and deploying AI-powered applications using modern software engineering practices
• Integrating Large Language Models (OpenAI, Azure OpenAI, Anthropic) into business solutions
• Building scalable backend services using Python or Node.js
• Developing intuitive user interfaces with React or Angular

• Supporting client projects in reporting transformation and AI-enabled analytics with a consulting-first approach
• Contributing to discovery, design, and MVP delivery, documenting findings and shaping recommendations

• Architecting cloud-native AI applications, integrating LLMs, vector search, and real-time data
• Designing end-to-end web solutions from frontend to backend
• Implementing RAG pipelines, model serving, and AI agents in production
• Leading cross-functional teams (Full-stack, AI, Data)

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Providing troubleshooting, user support, and post-implementation assistance across supported HR applications
• Acting as a functional expert for SAP HCM and developing expertise across the broader HR application landscape