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• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• 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

• End-to-end SRE ownership for the Global Fabric service
• Incident ownership across the customer journey from detection to resolution
• Primary operational escalation point for CF-related incidents
• Escalation of complex technical issues and coordination of resolution activities

• End-to-end felelősség cloud és on-premise platformok architektúrájáért
• Cloud platformok tervezése és fejlesztése (AWS, Azure, T Cloud Public)
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• Build and maintain production-grade AI infrastructure using Infrastructure as Code (Terraform/CDK), monitoring, logging, and deployment automation
• Optimise the performance and cost efficiency of LLM workloads through autoscaling, caching, batching, and infrastructure right-sizing strategies

• Providing expert assistance in diagnosis of complex technical issues
• Supporting dealer network with quick solution finding of technical product issues
• Working closely with technicians of workshops and dealerships
• Supporting with repair instructions via specified communication channels

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

• Integration delivery management
• Translation of business needs into technical requirements
• Stakeholder coordination
• Integration issue troubleshooting
• Integration documentation maintenance
• Live integration monitoring
• Partner performance and opportunity analysis
• Support for commercial partnership work

• 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

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Planning, designing, implementing, and maintaining Rust components and applications
• Building a unified SDK for AI-based features integration into Aether
• Reviewing requirements and contributing to feature design
• Implementing clean, idiomatic, maintainable Rust code

• 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

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Analysis of business processes and collaboration with stakeholders to identify, assess, and prioritize automation opportunities
• Design, development, testing, and deployment of scalable end-to-end automation solutions using UiPath following industry best practices and enterprise standards

• 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

• Operation and maintenance of highly available IAM and infrastructure services in production environments
• Deployment, configuration, and management of workloads running on Kubernetes and Azure
• Administration and troubleshooting of Linux-based systems and containerized applications

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team
• Automation of manual processes and optimization of CI/CD pipelines
• Code review and testing
• Safeguarding systems against cybersecurity threats

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

• Gherkin mondatok implementálása és testreszabása Java nyelven, Selenium keretrendszerrel
• Tesztelők támogatása SOAP- és REST-alapú webszolgáltatások tesztelésében megfelelő teszteszközök használatával
• Tesztkeretrendszerek és -eszközök implementálása és fejlesztése JUnit, Mockito, Selenium használatával