DNS Experts in Munich

Mohammed N.

Senior Cloud Solution Architect | Azure & Microsoft 365 Architect | Barracuda ESG Architect

Last position:

IT System Manager at Corporate Network Solution Provider

Architected, Deployed and Supported hosted email solutions in Linux and Windows environments with enterprise-grade anti-spam and security architecture for service-provider environments.
Managed Microsoft Azure environments including Virtual Machines, VNets, Storage, VPN, and Firewall configuration.
Administered Microsoft Exchange Server (2010-2019), Microsoft Exchange Server SE, Active Directory, PKI, Hyper-V and Zimbra environments with disaster recovery planning and operational support.
Led Microsoft 365 onboarding and migration projects from Exchange, IMAP, and Zimbra platforms to Microsoft 365.
Prepare security and compliance to support Microsoft 365 Copilot.
Implement information protection and data loss prevention by using Microsoft Purview.
Implement retention, eDiscovery, and communication compliance in Microsoft Purview.
Integrated Active Directory Domain Services (AD DS), Active Directory Certificate Services (AD CS), and Active Directory Federation Services (AD FS).
Delivered secure hybrid infrastructure solutions integrating Microsoft Windows Server and Linux-based enterprise environments.
Supported enterprise integration projects involving Debian, Ubuntu, CentOS, Red Hat, Barracuda ESG, Qmail and Zimbra Platforms.

Marcus B.

Java Cloud Expert

Grünwald

Last position:

Java and Quarkus Expert at Large German energy service provider

Modernization of a large-scale Java enterprise application*

The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.

Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.

Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence

Thomas H.

Senior MLOps, DevOps Engineer

Last position:

Senior MLOps, DevOps Engineer at Trianel Energy

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).

André H.

Diploma in Engineering Physics

Last position:

Linux IT Admin at ReiserST

Development and maintenance of IT architectures with embedded Linux systems.
Designing, implementing, and optimizing backend applications and script-based solutions.
Analyzing and resolving issues, including troubleshooting and user support.
Developing and implementing security concepts for cloud solutions.
Administering networks (DHCP, DNS, NTP, VPN).
Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
Methods: Kanban.

Serge K.

Data Science & Machine Learning Operations

Last position:

Data Scientist & MLOps (Machine Learning Operations) at REWE Digital GmbH

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
Development of feature store and data synchronization between environments
Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
Development of Copilot Agent Skills

Frank E.

DevOps

Ismaning

Last position:

DevOps at Lauck-IT

Operations and extensions of Azure DevOps pipelines
Operations and extensions of AWS services
Citrix (Windows 10, Bitwarden)
AWS: ECR, EKS, CloudFront CDN, Route 53, VPC peering and CNI upgrade, Atlas MongoDB, S3 buckets, static website hosting
Azure: build and deploy with DevOps pipelines

Mohamad D.

Project Engineer

Last position:

Project Engineer at BMW Group AG

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).

Konstantinos M.

Senior Project Manager

Unterhaching

Last position:

IT-Fly Specialist – Global Rollout at Lufthansa Group

Plan & Prepare (Site Design & Readiness): Inventory & Design: Dell PowerEdge R-Series, Aruba Switches (L2/L3), Notebooks/Peripherals; Serial Numbers/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 Scanners, Label Printers), "Go-Bag" (Cables, SFPs, Console Cables)
Deliver (On-Site Implementation): Endpoints: Swap & Migration (USMT/OneDrive KFM), Peripherals (ATB/BT Printers, Scanners, Boarding Gate HW); 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
Servers (R-Series): Rack & Stack, Cabling (PDU Redundancy, Fiber/Copper), Labeling/Nomenclature; 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 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-Specific: CUTE/CUPPS/CUSS Terminals; DCS/Amadeus/SITA Connectivity; FIDS (read-only); Bag Tag/Boarding Pass Printing; Changes During 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 (Incident/Recovery)
Close (Documentation & Handover): Documentation & CMDB: Final Configs (Switch/Server), Topology/Patch Plans, IP Tables, Serial Number/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, Providers (SITA/Amadeus). ITSM: ServiceNow (Inc/Req/Change/KB), Handover to BAU

Tobias W.

External Contractor

Last position:

External Contractor at Government Agency

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

Torsten W.

Product Owner

Last position:

Product Owner at Beyonnex

Initial technical analysis of the requirements for the two applications
Creating a system concept for the interim solution and for the final solution
Creating the product vision, customer journey, and story map for the interim solution in close cooperation with subject matter experts
Building a development team
Managing dependencies and interfaces with the other applications according to Domain Driven Design principles
Creating EPICs and user stories, and maintaining the product backlog in coordination with subject matter experts and developers
Running sprint reviews with relevant stakeholders such as subject matter experts and management
Analyzing the requirements for the final solution
The interim solution was built within 8 months and was successfully used for the 2022 heating cost billing
The interim solution has since been further developed to increase automation
A technical concept for the final solution was created
Handover to two internal Product Owners is currently in progress

Majid A.

Lead Consultant

Last position:

Lead Consultant at Infosys

Network automation
CI/CD and Docker environment
Python Nornir for network automation
pyATS for monitoring and test case automation
Network Access Control (Radius) and Device Admin Access Control (TACACS) with AAA and Cisco ISE with Cisco/HP/Aruba Devices
Cisco ISE Clusters (2/4/8 nodes) configuration
Cisco ISE Authentication and Authorization configuration
Cisco/HP/Aruba Switch/WLC Tacacs/dot1x/Radius configuration
Cisco ISE automation with Restconf and Python

Stephan S.

Senior Data/ML Consultant & Technical Lead

Last position:

Senior Data/ML Consultant & Technical Lead at Jolin.io

Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)

Lukas B.

Project Management Migration Specialist

Last position:

Project Management Migration Specialist at ADAC

Data migration strategy consulting for core banking solution - Mainframe to Cloud migration
Data models evaluation and analysis of value flows for a new cloud-based insurance portfolio system introduction
High level migration strategy

Marco F.

System Engineer–Vmware, Veeam

Last position:

System Engineer–Vmware, Veeam at DCSO

About 800 different server VMs, operation and lifecycle/asset management of about 40 ESXi hosts (Lenovo)
Upgrade of all clusters to ESXi/VCSA 7.0U3 and 8. Planning patch management for all hosts
Cleaning up the AD – many different domains that all needed to be migrated into the main environment. Planning/execution
Veeam – check the configuration and migrate to a newer, partly virtual infrastructure to make the setup leaner and faster
VMware – upgrades/updates, general maintenance
Proxmox POC – evaluate if an alternative to VMware
Documentation for Veeam/VMware/storage
Implementation of the uniflow cloud solution
NetApp migration to new storage, CIFS maintenance and administration of SVMs

Rick G.

Interim IT Security Analyst