Data Center Networking Senior Consultant

Job Description

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.

Role Description

We're looking for a passionate and experienced Data Center Networking Consultant to join our vibrant team.

As a Data Center Networking Consultant, you will be responsible for delivering consulting services to modernize enterprise data center environments, leading the assessment, architecture, design, and transformation of networking, security, connectivity, and virtualized infrastructure solutions.

Job Description - Grade Specific

• 10+ years of experience in Data Center Networking, Infrastructure Architecture, Consulting, or Systems Integration.
• Strong expertise in Data Center Networking design, deployment, and operations.
• CCNP Enterprise, CCNP Data Center, or equivalent certification (CCIE preferred).
• Proven experience designing large-scale Data Center and Hybrid Cloud environments.
• Strong knowledge of Data Center Security, Zero Trust, segmentation, and micro-segmentation.
• Solid understanding of Routing & Switching, WAN, SD-WAN, Load Balancing, HA, DR, and Network Resiliency.
• Hands-on experience with Cisco ACI, VMware NSX-T, SDN, and Network Virtualization.
• Strong knowledge of networking protocols including BGP, OSPF, VXLAN, EVPN, MPLS, DNS, DHCP, and QoS.
• Experience with Linux, Python, Network Automation, and Infrastructure-as-Code tools.
• Understanding of Azure, AWS, and GCP networking architectures.
• Knowledge of networking requirements for AI, analytics, and high-performance workloads.