The proliferation of Generative AI technologies has revolutionized various industries, and software development is no exception. DevOps, the cultural and technical movement that aims to integrate software development and IT operations, has undergone significant changes in the wake of Generative AI advancements. This session explores the emergence and significance of Generative DevOps Hybrid Skills, where traditional DevOps practices are augmented with Generative AI capabilities to foster efficiency and innovation in the software development lifecycle. In the age of Generative AI, automation and intelligent decision-making have become pivotal to stay competitive in the fast-paced world of software development. Generative AI encompasses machine learning techniques, such as Generative Adversarial Networks (GANs) and Natural Language Processing (NLP), enabling the automatic generation of code, documentation, and even test cases. This integration of Generative AI within the DevOps framework has given rise to Generative DevOps Hybrid Skills – a synergy between human expertise and AI-driven automation. Generative DevOps Hybrid Skills enable software developers and IT professionals to streamline their workflows, reduce human errors, and optimize resource utilization. For instance, AI-generated code snippets and automated deployment pipelines can significantly expedite development cycles, reducing time-to-market for software products. Moreover, the ability of Generative AI to identify vulnerabilities and weaknesses in code enhances the overall security posture of applications. This session will provide validated research and guidance from Industry on how to embrace Generative DevOps Hybrid Skills effectively by investing in upskilling and reskilling their workforce. It will provide a comprehensive understanding of AI technologies, data management, and continuous learning for software development teams. Additionally, will highlight the importance of industry-wide collaboration to establish best practices and standardize the integration of Generative AI into DevOps methodologies.