Senior Network Infrastructure Engineer

CVS Health•New York, NY

1d•$101,970 - $203,940

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. About the Role As our Senior Network Infrastructure Engineer, you'll lead the evolution of network operations through AI-driven automation, data integrity, and asset intelligence. You'll make sure the physical and logical state of our network—across data centers, warehouses, and enterprise environments—always tells one consistent, accurate story. Working at the intersection of network engineering, data management, and automation, you'll build systems that deliver real-time visibility, predictive insight, and closed-loop accuracy across our infrastructure assets and configurations.

Requirements

5+ years of experience in network infrastructure engineering (data center, enterprise, or cloud)
5+ years of experience with Data center architectures and cabling standards
5+ years experience with: Inventory/CMDB platforms (e.g., Nautobot, ServiceNow)
Routing & Switching Topology
3+ years of experience managing physical and logical asset reconciliation
3+ years of experience integrating warehouse/logistics systems with IT infrastructure
Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)

Nice To Haves

Familiarity with AI/ML concepts applied to infrastructure (anomaly detection, predictive analytics)
Experience with AIOps platforms or network analytics tools
Knowledge of DCIM tools and data center asset management
Exposure to streaming telemetry (Kafka, Prometheus, InfluxDB)
Understanding of digital twin concepts for infrastructure modeling
Certifications: CCNP/CCIE, AWS/Azure, or relevant automation/AI certifications

Responsibilities

Keep physical assets (racks, cabling, devices) and logical configurations (IPAM, VLANs, routing, cloud overlays) in agreement, end to end
Maintain authoritative data sources—such as Nautobot and warehouse inventory systems—as the single source of truth
Run continuous data reconciliation and validation across network, warehouse, and DCIM systems
Lead initiatives to eliminate configuration drift and inventory discrepancies
Document physical rack layouts—U-positioning, port maps, and cabling connectivity—and keep them current
Conduct physical audits to reconcile real-world hardware against management tools
Design and build AI-driven automation frameworks for network provisioning, validation, and remediation
Develop closed-loop pipelines that detect and correct inconsistencies in real time
Apply machine learning to anomaly detection, predictive capacity planning, and asset lifecycle optimization
Build workflows that manage assets across their full lifecycle—procurement, deployment, and decommissioning
Keep warehouse systems, asset-tracking tools, and network inventory platforms in sync
Integrate barcode, RFID, or IoT-based tracking where it adds value
Drive full traceability of network hardware across every environment
Architect and maintain data pipelines for telemetry, inventory, and configuration datasets
Establish data governance standards for network infrastructure data
Build dashboards and analytics that give the team real-time visibility for decision-making
Partner with Network SREs, full-stack developers, and data teams to deliver AI-ready datasets
Define and evolve our AI-driven Network Automation Framework
Align infrastructure data strategy with broader AI and digital transformation roadmaps
Evaluate and implement tools across DCIM, IPAM, CMDB, and network observability
Mentor engineers and serve as a technical leader across the organization