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Computacenter AG & Co. oHG

Bielefeld

Data Center Infrastructure Engineering for Telefonica Germany

Systems Engineer (Datacenter)

October 2010 - February 2012
1 year 5 months
Freelance
Project work
Bielefeld

Relevance

Why this case matters

This framing makes the decision signal explicit: impact, proof, fit, and AI / delivery relevance for hiring or collaboration.

System impact

Supported data center infrastructure across planning, build-out, operations, documentation, hardware support, and SLA-critical fault diagnosis.

AI / delivery relevance

Modern AI and platform work needs operational understanding. This case shows experience with availability, documentation, and critical infrastructure.

Data CenterEnterprise OperationsSLAInfrastructure

Proof

24/7

Operating context

SLA

Critical fault diagnosis

Lifecycle

Infrastructure responsibility

Especially relevant for

  • For companies that do not treat software delivery as separate from operations, infrastructure, and reliability.
  • For teams where technical choices also need to hold up operationally.

Case context

Overview

Telefonica Germany's data center operations needed infrastructure lifecycle support from planning and build-out to expansion and ongoing operations. The work combined database-driven documentation, hardware support, and fault diagnosis.

My role covered the server landscape, fault diagnosis, and SLA-critical issue resolution. The database-supported documentation system made infrastructure status and performance metrics easier to inspect.

Responsibility

Activities

  • Infrastructure Planning: Complete data center design, capacity planning, and expansion strategy development
  • Construction & Deployment: Hands-on implementation of server infrastructure and network architecture
  • Operations Management: 24/7 monitoring, maintenance, and optimization of data center operations
  • Database Documentation: Comprehensive infrastructure documentation system for real-time status tracking
  • Hardware Support: Full-spectrum server hardware support, diagnosis, and repair across entire landscape
  • SLA Management: Rapid identification and resolution of business-critical issues to maintain service levels

Operating mode

Methodology

  • Infrastructure Lifecycle: Planning, build-out, expansion, operations, and documentation treated as one responsibility
  • Proactive Monitoring: Early detection and prevention of potential infrastructure issues
  • Database-Driven Operations: Real-time documentation and status tracking for better visibility
  • SLA-Oriented Support: Diagnosis, hardware work, and escalation aligned with business-critical service levels

Technical context

Technology stack

The tools are not the point by themselves. What matters is which system layers had to work together.

3Areas
12Technologies

DevOps

10
Server HardwareSLA ManagementEnterprise OperationsData Center InfrastructureReal-time MonitoringStatus TrackingFault DiagnosisBusiness-Critical Issue Resolution24/7 SupportInfrastructure Optimization

Architecture

1
Network Architecture

Practices

1
Database Documentation

Next step

If you want to explore similar leverage for hiring, collaboration, or a concrete transformation, this is the right starting point.

Send a short note about the situation you are trying to assess. I reply personally and will be direct about fit.