Virtualization Experts in Munich

AI-supported development and PM acceleration with agentic workflows; deep reinforcement learning; fully automated 24/7 setup.

• Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
• Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
• Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
• Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
• Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
• Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
• Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
• Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
• Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
• Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
• Integration of RESTHeart to create a REST API for MongoDB.
• Build an Angular frontend to simplify data queries and master data maintenance.
• Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
• Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).

• It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
• GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
• Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
• CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment

• Spearheaded the EU market entry strategy for L3/L4 autonomous logistics vehicles, driving the technological localization and deployment of the parent company’s smart robotics portfolio.
• Orchestrated technical alignment between top-tier autonomous driving suppliers across China and Europe, translating complex client requirements into precise engineering specifications compliant with EU standards.
• Cultivated strategic joint R&D initiatives with leading European universities, research institutes, and enterprises, accelerating the transition of cutting-edge robotic concepts into commercial products.
• Directed the end-to-end architecture of intelligent warehousing solutions, guiding cross-functional teams in optimizing hardware integration for autonomous vehicles & robots, and overall system performance.
• Led the R&D of high-fidelity simulation and AI algorithms using NVIDIA Isaac Sim & Lab, establishing robust "Sim-to-Real" pipelines to train and validate dynamic path planning optimization, intelligent obstacle avoidance, and complex navigation stacks prior to physical deployment.
• Maintained hands-on oversight of the core system architecture, focusing on bottom-level performance tuning, AI model inference acceleration with TensorRT/ONNX Runtime, and sensor integration.

• Designed and implemented Azure Kubernetes Clusters, and managed DNS and Firewall solutions, enhancing network security and reliability.
• Led projects using Agile Scrum methodologies to streamline development cycles and improve project efficiency.
• Fostered and maintained relationships with suppliers to ensure timely project deliverables and resource availability.
• Managed continuous integration and delivery (CI/CD) pipelines using Jenkins, Sonar, GitHub, Bitbucket, and Terraform within the BMW Azure Cloud environment.
• Utilized Fortify SSC and Contrast AST for robust application security testing.
• Directed DevOps engineering initiatives on the SAP Business Technology Platform (BTP), focusing on streamlining development and deployment processes.
• Service Now governance, risk und compliance (GRC&IRM).

• Responsible for Openshift/Kubernetes on-prem administration and developer support.
• Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
• Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
• Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
• Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
• Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.

• Plan & Prepare (Site Design & Readiness): Inventory & Design: Dell PowerEdge R-Series, Aruba switches (L2/L3), notebooks/peripherals; serials/asset tags, IPv4/IPv6 addressing, VLAN-/DHCP-/DNS plan

• Runbooks/MOPs: site rollout runbook, backout strategy (<15–30 min), risk register, communication matrix; approvals via CAB/change

• Images/Packages: Golden Image (Win10/11), driver packs, BIOS/UEFI baseline; O365/Teams/OneDrive KFM; BitLocker policies; MECM/SCCM, Intune/Autopilot, MDT/WinPE

• Logistics: shipping/customs clearance, RMA/DOA, on-site spares; tools (barcode scanner, label printer), "Go-Bag" (cables, SFPs, console cables)

• Deliver (on-site implementation): End devices: swap & migration (USMT/OneDrive KFM), peripherals (ATB/BT printers, scanners, boarding gate hardware); domain join, compliance checks, O365 activation, printers/queues, network drives

• Acceptance: functional tests for DCS/CUTE/CUPPS/CUSS stations, ticketing/check-in workflows, boarding gates

• Server (R-Series): rack & stack, cabling (PDU redundancy, fiber/copper), labeling/naming; firmware/RAID (PERC), Lifecycle Controller, iDRAC network; Windows Server 2022/2025 + CIS/BSI hardening; agents (backup/AV/EDR/monitoring), time service/NTP auth, Syslog/SNMPv3

• Network (Aruba): VLANs, LACP trunks, MSTP root; PortFast + BPDU Guard at the edge; QoS (EF/AF); dual stack (v4/v6), DHCP relay. NAC/802.1X with ClearPass/Radius/TACACS+, roles + MAB fallback; guest isolation, ACLs (Guest→Mgmt deny). Telemetry: sFlow, SNMPv3, Syslog→SIEM; LLDP→inventory/CMDB

• Airport specifics: CUTE/CUPPS/CUSS terminals; DCS/Amadeus/SITA connectivity; FIDS (read-only); bag tag/boarding pass printing; changes in off-peak/night windows

• Stabilize (hypercare): first-day support, KPI tracking (login times, ticket volume, error classes), QoS fine-tuning

• Troubleshooting: Wireshark/iperf, event logs, switch counters, sFlow flows; fast incident handling as SPOC

• Knowledge transfer: short training sessions for station teams, mini-runbooks (fault/recovery)

• Close (documentation & handover): docs & CMDB: final configs (switch/server), topology/patch plans, IP tables, serial/asset lists, before/after photos

• Acceptance & sign-off: UAT protocols, functional evidence (use cases), return/reuse of old hardware

• Lessons learned: risks, standard packages, driver freeze, "known issues"

• Interfaces/communication: station IT, airport IT, SOC/NOC, ground ops/ramp/check-in, provider (SITA/Amadeus). ITSM: ServiceNow (Inc/Req/Change/KB), handover to BAU

• Project support for VMware/Active Directory
• Operational support for administration, process execution
• Creation and review of documentation
• Active Directory, Powershell, VMware VSphere 7, Confluence, Jira
• Windows Server 2016/2019/2022/2025 GUI/Core
• Concept and rollout of Windows Update Services (approx. 500 client/server systems) and takeover of a central WSUS gateway company-wide
• Takeover and redesign KMS/RDS systems company-wide

• Chief Information Officer with more than two decades of international leadership experience in publicly traded and regulated industrial environments.

• Responsible for the structural realignment of complex, long-standing IT organizations to bring transparency, control, and financial stability.

• Leading global IT organizations with budgets up to €120 million and up to 320 employees.

• Developing and rolling out centrally managed operating models, setting up transparent financial and governance structures, and consistently delivering business-critical platform initiatives (e.g., SAP S/4HANA).

• Focused on restoring decision-making, prioritization, and execution power during transformation phases under increased organizational pressure.

• Leveraging technology as a strategic tool to increase efficiency, stabilize operations, and support sustainable business development.

• Global IT Transformation & Operating Models

• SAP S/4HANA & Platform Harmonization

• Digital Manufacturing & Industry 4.0

• Governance, Compliance & Cyber Resilience

• International Organizational Leadership

• Sourcing & Location Strategies

• Overall responsibility for strategy, governance, budget, and operations of the global IT function with an annual budget of approximately €45 million and an international team of about 95 employees across all locations.

• Direct reporting line to the executive management and close strategic coordination with the CFO and COO.

• Realigned a historically decentralized IT landscape of 28 legally independent entities and separate budget and control logics into a centrally managed, internationally standardized operating model.

• Introduced transparent governance, reporting, and financial structures with clear separation and active management of CapEx and OpEx budgets at the corporate level.

• Established group-wide IT financial and performance management with clear investment prioritization, transparent CapEx/OpEx structure, and active portfolio governance to sustainably enhance decision-making at the executive level.

• By consistently centralizing, standardizing, and harmonizing platforms (including global rollout of SAP S/4HANA), structural complexity was significantly reduced.

• IT cost base was sustainably cut by about 15% while significantly improving performance and service levels and increasing transparency and control for executive management and leadership.

• At the same time, strategically expanded the production IT architecture in the context of Industry 4.0 by integrating MES and IoT systems in OEM-related, safety-critical production environments and building audit-ready governance and security structures while meeting regulatory requirements (e.g., automotive standards, TISAX-like frameworks, global compliance rules).

• Maintained strict focus on strategically relevant initiatives by clearing parallel projects, reducing redundant structures, and establishing clear responsibilities to noticeably increase speed, commitment, and execution power in the organization.

• High international presence with operational responsibility at production sites and an active role as a strategic sparring partner to the executive management.

• Specialized in designing and implementing robust, secure cloud solutions for critical client infrastructure.
• Expertise in Microsoft Intune environment with a strong focus on system hardening and comprehensive policy management.
• Architected NIST and ISO/IEC 27000 compliant Mobile Device Management (MDM) infrastructure tailored for an international government defense aerospace project.
• Performed an architectural role for an offline Microsoft Endpoint Configuration Manager (MECM) environment, ensuring NIST compliance while handling complex manufacturing infrastructure.

• Analysis and optimization of the VMware environment for operation in a critical infrastructure environment
• Planning and execution of updates for the VMware and hardware environment in a critical infrastructure environment
• Deployment of Skyline Health Diagnostics
• Review of existing documentation
• Training and onboarding of new internal staff
• Support for migration and upgrade projects
• Preparation for moving scripts in the virtualization environment to GitLab
• Ticket handling with ServiceNow

• Analysis and assessment of government business processes with regard to migration capability
• Definition and preparation of the technical framework conditions in the new master data center
• Development and optimization of migration procedures and processes
• Transformation of existing solutions to new technical standards (technology refresh)
• Coordination of architecture and technical cross-cutting topics

Organizational and technical process development and design of the digitization and online use of bank mandates. Responsible for accurately capturing requirements in Epics and User Stories, including backlog management, MVP, implementation support, and end-to-end testing of the implementation according to the SAFe Agile Framework methodology, creating process and interface documentation, and sprint demos. Established a knowledge management system based on Confluence and SharePoint, including employee training and workshops.