Programozó analyst állások XXIII. kerületben középiskolai végzettséggel

• Implementation of complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• Facilitation of discovery workshops with German-speaking clients to capture pricing and promotions requirements
• Documentation of business and technical specifications based on workshop outcomes
• Translation of business needs into functional configuration requirements for the solution team

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Compiler development for custom NPU
• Performance estimator for runtime execution of different Neural Network workloads
• GPU-accelerated, bit-accurate, high-performance arithmetic simulator of the aiWare NPU
• Development of neural network compiler for custom NN accelerator hardware in C/C++ environment

• Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatos tanácsadás
• Ügyfelek üzleti és IT folyamatainak felmérése
• Hatékonyságjavító megoldások tervezése, bevezetése és minőségbiztosítása
• Oktatások és képzések megtartása
• Implementált megoldások működésének támogatása

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• 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

• Design, configure, and enhance SAP PP (Production Planning) processes in S/4HANA Public Cloud
• Participation in S/4 rollouts, ensuring consistent global template adoption and local fit-to-standard workshops
• Support clients in implementing best-practice production processes

• Implementation of new or maintenance of existing solutions specialized in one or more SAP modules
• Provision of functional expertise, guidance, and instruction on SAP processes
• Proposal, configuration and testing of business solutions according to requirements

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Design, develop, and maintain scalable fullstack applications using .NET and Angular
• Integrate and manage messaging systems such as Kafka and RabbitMQ
• Deploy and manage applications using Docker and Kubernetes in AWS environments
• Work with various databases including PostgreSQL, MSSQL, and Couchbase

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• 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 support quality assurance activities

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• 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

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• 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

• 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