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Senior Network Infrastructure Engineer

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: CVS Health
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineering, Network Engineer, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: City of Albany

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.

What You'll Do Network Infrastructure & Data Integrity
  • 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
AI & Automation Engineering
  • 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
Inventory & Asset Intelligence
  • 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
Data Management & Analytics
  • 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
Architecture & Leadership
  • 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
Required Qualifications
  • 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, Service Now) and Routing & Switching Topology
  • 3+ years of experience managing physical and logical asset reconciliation
  • 3+ years of experience integrating warehouse/logistics systems with IT infrastructure
Preferred Qualifications
  • 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
Education
  • Bachelor’s degree or equivalent experience (HS diploma + 4 years relevant experience)

Anticipated Weekly

Hours:

40

Time Type:
Full time

Pay Range: $ - $

The typical pay range for this role is $ – $. The…

Position Requirements
10+ Years work experience
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