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• 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

• Participation in end-to-end SAP S/4HANA implementation projects
• Fit-to-Standard analysis
• Configuration
• Migration
• Testing
• Go-live support
• Evaluation and optimization of business processes
• Translation of business processes into effective SAP S/4 HANA solutions

Implementation of IS-U solutions including analysis of business requirements and configuration of SAP IS-U modules to support core utility processes such as billing, invoicing, device management, and customer service...

• Design and implement SAP IS-U developments using ABAP and ABAP OO
• Support SAP IS-U implementation projects and provide development support in productive environments
• Contribute to solutions running on SAP ECC and/or SAP S/4HANA for Utilities

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• 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

• Orders recording through CRM system (Veeva) and forwarding to wholesalers
• Exploitation of product visibility through shelf display and effective use of POS tools, monitoring with TRAX system
• Checking and optimizing product availability

• Design, build, and maintain robust CI/CD pipelines
• Manage and optimize cloud infrastructure on T Cloud Public, ensuring high availability and performance
• Administer and troubleshoot Linux and Windows systems in production environments

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• 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

• Coordination of operations with data center teams including hardware lifecycle activities and management of server/network interconnections and documentation
• Provision and maintenance of bare-metal servers and GPU nodes including PXE boot, OS installs, and firmware updates

• Assistance in S/4HANA transformation projects
• Development of software solutions, architectures, and transformation scenarios related to SAP
• Support of SAP data migration tasks
• Provision of technical advice and support to customers during migrations

• 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

• Support the development and evolution of the ERP target picture and ERP strategy for T-Systems
• Evaluate and assess complex SAP system landscapes with focus on consolidation, integration, harmonization, and retirement decisions

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...

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms

• Automatizált UI és end-to-end tesztek fejlesztése webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek karbantartása webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security