Backend programozó állások Budapesten (it programozás, fejlesztés)

• Design, build, and own secure, scalable cloud-native services using C#/.NET and AWS
• Lead technical decision-making balancing performance, reliability, security, and cost considerations
• Use AI-powered tools to enhance coding, debugging, testing, and prototyping while ensuring quality and safety

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Development and enhancement of T Cloud Public platform in a customer-oriented manner
• Operation of the built platform
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Building tools to reduce occurrence of errors and improve customer experience

• Support technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse large software repositories to map services, dependencies, interfaces, build flows, and technical risks

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• Building infrastructure for FAQs, self-service pages, and chat platform as a primary support channel
• Enabling smarter customer interactions
• Automating solutions
• Helping other teams deliver better support experiences
• Delivering seamless, impactful solutions across all Wise platforms

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Owning difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Design, build, and deliver scalable full stack solutions using Angular, TypeScript, C#/.NET, and AWS
• Own features from concept through deployment, monitoring, support, and continuous improvement

Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features...

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• 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

• Building transformative AI capabilities from the ground up
• Developing user-facing features with conversational and agentic AI technologies
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software