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• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Definition of product vision, strategy, and roadmap for cloud products and platforms
• Understanding of customer needs, market trends, and business priorities

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása

• Fejlesztés és megvalósítás komplex generatív AI alkalmazásokban a felfedezéstől a bevezetésig
• Legjobb gyakorlatok keretrendszerének kialakítása felhőarchitektúrák telepítéséhez AI ügynökök támogatására, költség, teljesítmény és biztonság fókuszával LLM munkaterhelésekhez és vektor kereséshez

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Execution of specified Accounts Payable projects
• Support of ongoing system and process migrations
• Invoice troubleshooting
• Accounts Payable accounting support
• Vendor master data clean-up
• Disbursement-related tasks including payment forecasting
• Building strong operational knowledge

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows

• Enterprise alkalmazások architektúrájának teljes körű tervezése és irányítása
• Üzleti igények technikai koncepciókká alakítása
• Nemzetközi, angol nyelvű fejlesztőcsapatok szakmai vezetése és koordinálása
• Fejlesztési eredmények integrációjának biztosítása a Telekom rendszerkörnyezetbe

• Supervision of all E2E daily operations within the Accounts Payable team including accounting, query management, invoice issue resolution, quality controls and Idoc management
• Daily interaction, training, direction and oversight of staff activities

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Kialakítás és üzemeltetés ügyfelek részére dedikált sandbox környezetek
• Felelősség az infrastruktúra automatizálásáért Terraform vagy Bicep használatával
• Fejlesztés GitLab alapú deployment pipeline-okon

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• 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

• 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

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Native Swift/iOS application development
• User interface and function design as planned
• Participation in requirements gathering, project and technical planning
• Unit and UI test writing and developer testing participation
• Continuous learning

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• 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