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Infrastructure Solution Architect

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: Cognizant
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Systems Engineer, Cybersecurity, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Cognizant is looking for an Infrastructure Solution Architect to lead the design, deployment, and optimization of advanced GPU-based computing environments and cybersecurity solutions. This role combines deep technical expertise in high-performance infrastructure (including NVIDIA DGX systems, parallel file systems, and high-speed networking) with strategic leadership to drive industry-leading cyber security revenue growth. The ideal candidate will architect scalable AI-ready environments, manage complex clusters, and ensure robust security frameworks while engaging with C-level executives to deliver innovative, outcome-based solutions across Fortune 200 and 500 enterprises.

Job Responsibilities
  • System Design & Deployment
    • Architect and deploy NVIDIA DGX systems and GPU-based compute clusters.
    • Design scalable parallel file systems (Lustre, BeeGFS, GPFS).
    • Integrate high-speed interconnects (Infini Band, RoCE, RDMA).
    • Collaborate on rack planning and airflow optimisation.
  • Cluster & Infrastructure Management
    • Configure and manage Slurm Workload Manager for job scheduling.
    • Deploy and maintain cluster orchestration tools.
    • Automate provisioning using PXE boot, Terraform, Redfish, Kubernetes.
    • Perform firmware updates, BIOS/IPMI/BMC configuration, and OS provisioning.
  • Networking & Performance Optimisation
    • Design and validate network topologies (IPMI, internal/external networks, Infini Band fabrics).
    • Optimise RDMA and RoCE configurations for low-latency, high-throughput transfers.
    • Conduct performance benchmarking using GPU-Burn, NCCL, NVSM.
  • Monitoring & Troubleshooting
    • Implement system health checks and diagnostics across compute, storage, and network layers.
    • Troubleshoot hardware/software issues to ensure reliable infrastructure operation.
  • Leadership & Strategy
    • Lead strategic planning for cybersecurity and AI infrastructure solutions.
    • Manage budgets, talent acquisition, and project delivery.
    • Drive innovation through proof-of-concepts and credentialize solutions.
  • Revenue Growth
    • Drive industry-leading cybersecurity revenue growth across identified industries.
    • Develop cross-service line offerings aligned with compliance and security standards.
    • Build trusted advisor relationships with C-level executives in Fortune 200 & 500 accounts.
Required Qualifications
  • 15+ years of experience in complex solutioning with broad technical and functional/technology area with market-standard certifications.
  • Deep understanding of NVIDIA DGX architecture, CUDA, GPU compute.
  • Strong Linux administration and shell scripting skills.
  • Expertise in Slurm, parallel file systems, Infini Band/RDMA/RoCE networking.
  • Familiarity with containerisation (Docker), orchestration (Kubernetes), automation tools (Ansible, Redfish).
  • Advanced knowledge of cloud platforms (AWS, Azure, GCP) and IaC tools (Terraform, Cloud Formation, Pulumi).
  • Strong knowledge of security services portfolio: IAM, Threat Management, Risk Services, SOC, GRC.
  • Proven ability to manage executive relationships and align stakeholders.
  • Strong executive presence and communication skills.
  • Demonstrated success in building outcome-based commercial models.
  • Ability to lead cross-functional teams and mediate complex client relationships.
  • Deep industry knowledge of IT services and outsourcing globally.
Preferred Qualifications
  • Advanced certifications in cybersecurity and cloud (CISSP, CISM, AWS/Azure/GCP Architect).
  • Experience with AI/ML workload orchestration and GPU scheduling (NVIDIA GPU Operator).
  • Familiarity with platforms like Run.ai, Clear

    ML.
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