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DevOps vs Systems Engineering: Understanding the Evolving Role in AI, Big Data, and IoT

Aditya Bhuyan
6 min readJan 26, 2025

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Introduction

The technology landscape has evolved rapidly in recent years, and with it, the roles and responsibilities of IT professionals. As organizations increasingly adopt cutting-edge technologies like artificial intelligence (AI), big data, and the Internet of Things (IoT), many IT roles are undergoing significant transformations. One of the most debated topics in this transformation is the evolution of the systems engineering role and its relationship to DevOps. While both positions share common ground in terms of infrastructure management and system operations, their specific focus, methods, and contributions have become distinctly different, especially in the context of emerging technologies.

In this article, we’ll explore whether DevOps is simply a rebranding of systems engineering for the modern age of AI, big data, and IoT, or if it represents something fundamentally different. We will delve into the unique characteristics of both roles, how they complement each other, and how they are adapting to new technological challenges. Whether you are an IT professional, a business leader, or simply someone looking to understand these roles better, this guide will provide in-depth insights into the dynamic intersection of DevOps and systems engineering.

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Aditya Bhuyan
Aditya Bhuyan

Written by Aditya Bhuyan

I am Aditya. I work as a cloud native specialist and consultant. In addition to being an architect and SRE specialist, I work as a cloud engineer and developer.

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