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• Design, planning, build, and in-life support of IP-based data networks and services
• Design, planning, and build of Data Centre customer connectivity for Managed Services and Telehousing
• Capacity planning of Data Centre and DCN infrastructure

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• 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

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• 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

• Leading PDO teams in building solutions and data products
• Bridging the gap between business requirements, complex data streams, and actionable AI/analytical solutions
• Managing the full project lifecycle from backlog grooming and agile coordination to technical delivery and operational deployment

• Design integration solutions connecting SAP S/4HANA Public Cloud with SAP and non-SAP applications
• Build integration solutions connecting SAP S/4HANA Public Cloud with SAP and non-SAP applications
• Enhance integration solutions connecting SAP S/4HANA Public Cloud with SAP and non-SAP applications

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

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...

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• 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

• Architecture leadership for transformation of business systems, service operations and customer fulfilment platforms
• Definition of strategic architecture direction across telecom BSS, Service Operations, Salesforce Communications Cloud, ServiceNow and enterprise integration domains

• 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

• 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

• Providing technical expertise to build effective and scalable PLM solutions aligning with company standards and strategic objectives
• Supporting validated and non-validated production PLM systems by resolving access, incident and change requests in a timely way
• Enhancing user experience of PLM systems

• Development, testing, and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions

• Develop web applications in a team using the newest technologies
• Implement new functionalities in backend and frontend
• Design and estimate user stories
• Participate in the system design
• Design user interfaces and functions as planned
• Participate in product roadmap design
• Write unit and end-to-end tests

• 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 (Terraform) and CI/CD