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Principal Network Engineer - AI Infrastructure9025 CVS Shared Services Resources LLC • New York, New York, United States
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Principal Network Engineer - AI Infrastructure

9025 CVS Shared Services Resources LLC
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Position Summary 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 in everything we do. The Principal Network Engineer – AI Infrastructure builds high‑performance network infrastructure to support the organization’s AI and GPU‑driven workloads, including large‑scale training and inference platforms. Role Responsibilities Collaboration & Expertise: Partner with compute, storage, platform and security teams to design integrated AI infrastructure solutions; serve as a senior technical authority aligning network designs with vendor and industry reference architecture; influence enterprise network and security strategy through collaboration with engineering leadership. Analysis & Configuration: Design and implement high‑performance data‑center networks optimized for AI/GPU workloads, including leaf‑spine fabrics and EVPN/VXLAN overlays; integrate networking with GPU clusters and high‑performance storage systems; optimize network performance for latency, throughput and congestion; evaluate and deploy advanced networking technologies for scalability, reliability and security. Operational Support: Support 24/7 infrastructure operations, including on‑call responsibilities across cloud, on‑prem and colocation environments; lead incident response and root‑cause analysis to improve resilience. Mentorship and Training: Mentor and develop engineers, promote best practices in networking and security, and provide knowledge sharing through training sessions and technical enablement. Innovation and Research: Evaluate and adopt emerging AI infrastructure and networking technologies, contribute to research and continuous improvement of network and security capabilities. Strategic Planning: Define and drive the data‑center network strategy supporting AI/ML platforms; establish standards and reference architecture aligned with industry best practices; guide long‑term roadmap decisions balancing performance, scalability, security and risk. Required Qualifications 10+ years of network engineering experience, with at least 5+ years in a leadership, architectural or lead engineering role delivering enterprise or cloud network initiatives end‑to‑end. 5+ years designing and operating large‑scale data‑center networks, including Layer2/3 architectures (leaf‑spine/Clos), EVPN/VXLAN overlays and high‑speed networking (100/200/400Gb+). 5+ years with enterprise routing, switching and network platforms, including Cisco‑centric data‑center fabrics, BGP, OSPF, MPLS, STP and hybrid connectivity (SD‑WAN, VPN, remote access). 5+ years implementing network security technologies, including Palo Alto Networks firewalls (required), NGFW, IDS/IPS, ZTNA, DLP and micro‑segmentation, with understanding of application‑aware and zero‑trust architectures. 3+ years supporting AI/ML or GPU‑based environments, including NVIDIA reference architectures and performance‑optimized networking for distributed training workloads. 3+ years with application delivery and observability technologies such as F5 load balancing, NetFlow, Wireshark, SolarWinds and traffic analysis for performance tuning. Certifications such as CCIE/CCNP, JNCIE, AWS/Azure/GCP Networking, PCNSE/PAN or Security Specialty, CISSP. Bachelor’s degree or equivalent experience (High School Diploma and 4years relevant experience). Preferred Qualifications Experience designing and supporting AI factory / GPU cluster environments at scale (training and inference platforms). Familiarity with high‑performance compute networking enhancements such as RDMA, PFC and ECN. Experience with Cisco Nexus, ACI or equivalent data‑center switching platforms supporting AI workloads. Strong expertise with networking and software‑defined networking principles; developing and interpreting network, sequence and data‑flow diagrams. Understanding of at least one compliance framework (HIPAA, HITRUST, PCI, NIST, CSA). Experience defining and implementing cyber‑resilience standards, policies and programs for distributed cloud and network infrastructure. Influence industry standards and contribute to open‑source projects or security communities. Experience with network automation and infrastructure as code. Benefits Medical, dental and vision coverage. Paid time off and retirement savings options. Wellness programs and other resources supporting physical, emotional and financial wellbeing. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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  • New York, New York, United States

Compétences linguistiques

  • English
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