Software development engineer állások VI. kerületben (it tanácsadó, elemző, auditor)

• Support client projects in reporting transformation and AI-enabled analytics with a consulting-first approach
• Contribute to discovery, design, and MVP delivery, documenting findings and shaping recommendations
• Assist in developing BI strategy, governance, and operating models with senior colleagues

• Providing technical expertise to build effective and scalable PLM solutions
• Supporting validated and non-validated production PLM systems by resolving access, incident and change requests
• Enhancing user experience
• Requirement gathering, analysis, build and test

• 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

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

Technical responsibility and management of all tasks and activities responsible for the provision of services by TCP to the customer and the contract result internally...

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Biztonsági és kockázati értékelések végzése alkalmazások és rendszerek esetében
• Frontier AI szkennelési képesség beállítása, technikai eredmények elemzése és backlog kezelése
• Jira backlogok létrehozása, kezelése és megoldása biztonsági kérdések, kivételek és kockázati tételek esetén

• Shaping transformations in S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations with guidance and support to colleagues

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Technical leadership post-sales for strategic customers in big data projects
• Design and implementation of big data projects from architectural design to data engineering and model deployment

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

Architektúra vezetés és kézzel fogható szakértelem Amazon Bedrock, Amazon Bedrock AgentCore, LangGraph vagy Strands Agents SDK, MCP, A2A, workflow-as-code, IaC és AgentOps területeken...

• Design of architectural patterns for transition from legacy monolithic patterns to modern scalable AI-integrated architectures
• Leading the "Strangler Fig" approach for wrapping, refactoring, or replacing legacy components

• Analysis of report and dashboard requirements considering needed input data and preparation of output data
• Creation of information design and information architecture of the dashboard and reporting solutions
• Development of report and dashboard solutions

• Technical leadership post-sales for strategic customers in big data projects
• Design and implementation of big data projects from architectural design to data engineering and model deployment

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

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments