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• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests and participation in developer testing
• Continuous learning

• Technikai menedzsment és fejlesztés a csapat felhőalapú adatplatformján és adatmodellein Azure Databricks környezetben
• A Data-Driven Project Modelling (DPM) motor fejlesztése és karbantartása DevOps legjobb gyakorlatok követésével

• Design, implement, and maintain backend services using Java 25 and Spring Boot 4.1
• Evolve the existing modular monolith toward a cleaner hexagonal architecture
• Implement and secure OAuth 2.0/OIDC identity and access management flows and APIs
• Develop and maintain RESTful APIs and service interfaces

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• 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

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...

• Strengthen Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

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

• Service-level analysis of modular cloud software
• Mapping APIs, configuration flows, service dependencies, database usage, and operational assumptions of OpenStack-style services and surrounding components

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Designing and implementing web applications using modern frameworks and best practices
• Translating business and user needs into intuitive, scalable technical solutions

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Providing a consistent and scalable data foundation for internal systems
• Developing and maintaining business objects including data models, backend logic, and APIs

• 2nd level support for complex incidents, service requests, and operational issues
• Handling incidents, problems, changes, and service requests using ServiceNow as the central ITSM tool
• Analyzing, troubleshooting, and resolving issues across application, database, OS, and infrastructure layers

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Delivery of scalable, reliable, and innovative cloud solutions
• Definition of product vision, strategy, and roadmap for cloud products and platforms

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

• MSSP SOC és egyéb kiberbiztonsági szolgáltatások architekturális és technikai tervezése
• Komplex ügyfélmegoldások architekturális és technikai tervezése
• Műszaki koncepciók kidolgozása
• Megoldási tervek kidolgozása
• Ajánlatok kidolgozása
• Sales és Pre-Sales csapatok szakmai támogatása

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests and participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Operation and support of several systems in Azure
• Design and continuous improvement of monitoring, alerting, and logging
• Support of incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Design and implement security controls across identity (IAM/PAM, federation, conditional access), data (encryption, key management, classification), and network (segmentation, secure landing zones, WAF/CASB)
• Work on workload security — container security, serverless security, IaC scanning