Walmart [NASDAQ: WMT]

I began my technical career in the United States Marine Corps as a COBOL programmer, then moved into network and server engineering as a Small Systems Specialist. Early work in a large regulated environments, brought me to Enron, which cemented a lesson I’ve carried ever since: security and governance must scale as fast as the network.

Today, as Director of Network Engineering at Walmart, I oversee infrastructure across more than 5,400 retail and corporate locations in the U.S., leading teams in the U.S. and India. My responsibilities include strategy, modernization and Day 2 excellence. Recent programs include SD WAN deployment and virtualization of network functions which are enabling uniform policy, virtual firewalls at the edge and faster, safer change in addition to greater resilience. My background blends executive leadership with hands on depth in cybersecurity and infrastructure, and I focus on building resilient, high availability systems where consistency, automation and observability drive both uptime and cost discipline.

The True Test Of Network Resilience

Most “scalable” network designs are only truly validated when confronted with abnormal events at a decent level of deployment – about 500 sites. The key is to assume that no design is inherently scale-ready and to architect for resilience and security from the outset.

Regional carrier outages and fiber cuts are inevitable in today’s dynamic environment. Our WAN strategy mitigates these risks by leveraging multiple terrestrial and alternative transport options, including satellite, integrated with SDWAN. This proactive approach minimizes service disruption before it occurs. Likewise, our hardware selection prioritizes failover capabilities and redundant coverage, ensuring that both infrastructure and operations remain robust under stress.

A decade ago, consistency was the cornerstone of our network strategy—engineered for Every Day Low Cost rather than cutting-edge sophistication. Today, both consistency and sophistication are essential. Our customers’ expectations have evolved and as merchants and technologists, we must deliver networks that are flexible, highly available and intelligent.

We are people-led and tech-powered. This means assembling the right technical expertise to solve modern challenges at scale. By integrating AI into Day2 operations and telemetry, we gain real-time insights to drive configuration changes for speed, consistency and security. Automation and AI in our build and configuration management processes enable faster, more reliable deployments and minimize configuration drift across the environment.

AI, Scale And The Future-Ready Network

AI is fundamentally reshaping network operations by enabling real-time observability, predictive analytics, and automated remediation at a scale that manual processes simply cannot match. In our environment, we leverage AIdriven tools to accelerate diagnostics, proactively identify anomalies and standardize responses across thousands of sites or a very deep dive into a single site.

 The key to realizing measurable value is to embed ai into operational workflows, using it not just for insights, but for closed-loop automation. 

The key to realizing measurable value is to embed AI into operational workflows, using it not just for insights, but for closed-loop automation that reduces mean time to resolution (MTTR) and improves uptime. A secure AI solution that can ingest your network documentation and be trained on your environment, can free up Network Operation Center (NOC) technicians by allowing them to find quicker answers than scouring documents manually. These same tools can enable Security Operations Center (SOC) or incident responders with quicker access to information as well.

Define your requirements and do your best to futureproof that list. Collaborate with partner teams—from servers to wireless—to ensure you’re accurately scoping bandwidth needs and power over Ethernet (PoE) requirements. With a solid requirements baseline, your team can develop detailed scoring criteria for potential solutions, enabling leadership to make data-driven decisions.

Invest early in automation and observability. Manual processes and ad hoc tools cannot scale; instead, build a foundation of automated deployment, monitoring and remediation. Establish clear ownership, enforce configuration standards and prioritize resilience alongside complexity. Engage teams in the design process and rigorously test every new capability against real-world stress scenarios. Retrofitting automation and visibility after growth is exponentially more costly than building them in from the start.

Partner closely with cybersecurity to ensure NetFlow and logging requirements are met. If automation or centralized management depends on another team, provide them with lab access to accelerate development and validation. Proactively identify challenges as you expand capabilities and manage technical debt from legacy environments with discipline.

During hardware selection, require vendors to demonstrate orchestration, visibility and scalability during conference room pilots. Scrutinize AI-enabled features and demand clarity on how they deliver value, whether through direct agent access, actionable portal insights or transparent outcomes, rather than relying on black-box promises.

Future And Trends In Network Engineering:

AI-Driven Operations And Automation

AI is rapidly transforming network operations from reactive to predictive and autonomous. The integration of AI and machine learning enables real-time observability, anomaly detection and closed-loop automation at scale. This shift is not just about efficiency; it is about resilience and agility. Engineers are skeptical, but this is part of the technology landscape today. Networks that are enhanced with AI observability and automation, will increasingly adapt to changing business needs, reducing mean time to resolution (MTTR) and freeing engineers to focus on innovation rather than operational issues.

Network At The Edge

As workloads move closer to the edge, network infrastructure must support massive device growth, lowlatency applications and seamless integration with cloud and multi-cloud environments. Edge architectures, AIOps and robust telemetry are becoming essential for managing complexity and ensuring consistent user experiences across thousands of locations.

Zero Trust And Security By Design

Security is shifting from perimeter-based to identity- and context-driven models. Zero Trust principles like continuous verification, least privilege and micro-segmentation are becoming standard, especially as AI and IoT expand the attack surface. Future-ready networks will embed security controls into every layer, with real-time monitoring and automated response to threats.