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Data Centre Engineer – Storage, Compute, Virtualisation
avacone Switzerland. Design, implement and maintain enterprise compute, storage and virtualisation platforms.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise Data Centre engineering, focusing on compute, storage, and virtualisation platforms. Proficient in automation, Infrastructure as Code, and cloud integration, with a strong commitment to operational excellence and security.
Highest-signal resume keywords
Enterprise Data Centre EngineeringVirtualisation Platforms ManagementAutomation and Infrastructure as CodeIncident and Change ManagementCloud Infrastructure Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Compute TechnologiesStorage SolutionsVirtualisationOperating SystemsBackup TechnologiesScriptingCapacity ManagementPerformance OptimisationData ProtectionHigh-Availability Concepts
Soft Skills
Effective CommunicationCollaborationContinuous LearningImprovement-Focused Approach
Tools & Technologies
Infrastructure Monitoring ToolsAutomation ToolsCloud ServicesData Centre Services
Certifications & Qualifications
Bachelor’s Degree or Equivalent Professional Experience
Industry Keywords
Disaster RecoveryBusiness Continuity PlanningOperational ExcellenceSecurity BaselinesInfrastructure Hardening
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, implement and maintain enterprise compute, storage and virtualisation platforms.
- Assist with racking, stacking and connecting servers, network equipment and storage devices.
- Coordinate with partners on cabling and hardware installations.
- Manage virtualisation platforms, including troubleshooting, performance monitoring, capacity management and availability.
- Monitor system performance and environmental conditions, identify and escalate potential issues, and follow standard operating procedures.
- Participate in incident, problem, change and lifecycle management, including the on-call rota.
- Contribute to disaster recovery, resilience and business continuity planning.
- Support the deployment, configuration and maintenance of storage solutions.
- Implement automation and Infrastructure as Code to streamline operations and improve efficiency.
- Maintain and troubleshoot existing automation processes and participate in proofs of concept for new technologies.
- Work with engineers and other departments through meetings, brainstorming and knowledge sharing.
- Support hybrid cloud adoption and integration with existing Data Centre services.
Requirements
What you’ll need- Substantial experience in enterprise Data Centre engineering.
- Strong knowledge of compute, storage, virtualisation, operating systems and backup technologies.
- Experience with virtualisation platforms and their associated management ecosystems.
- Knowledge of storage protocols, data protection, replication and high-availability concepts.
- Understanding of infrastructure monitoring, capacity management and performance optimisation.
- Experience with scripting, automation and Infrastructure as Code.
- Familiarity with cloud infrastructure and hybrid operating models.
- Understanding of security baselines, privileged access and infrastructure hardening.
- Experience supporting critical platforms in a structured operational environment.
- Bachelor’s degree or equivalent professional experience.
- Typically, six to ten years of relevant experience, or demonstrable expertise appropriate to the role.
- Strong understanding of platform reliability, security, resilience and operational excellence.
- Experience participating in incident, problem, change and lifecycle management.
- Ability to document technical solutions and communicate effectively with technical and non-technical stakeholders.
- Commitment to continuous learning, professional development and relevant industry accreditations.
- A collaborative, improvement-focused and automation-oriented approach to engineering.