DevOps Engineer – Azure & Agentic AI

Job Title : - DevOps Engineer – Azure & Agentic AI

Location : -Noida, Uttar Pradesh, India

Experience : -3-5 years

At R Systems We are seeking a skilled and motivated DevOps Engineer specializing in Azure and Agentic AI to join our dynamic team in Noida. The ideal candidate will have a strong background in DevOps practices and a robust understanding of cloud technologies, particularly within the Azure ecosystem. You will collaborate with various teams to streamline processes, enhance automation, and implement scalable solutions that leverage Azure’s capabilities and Agentic AI technologies.

• Key Responsibilities :
• Design, implement and manage CI / CD pipelines using Azure DevOps to automate the software development lifecycle (SDLC).
• Administer and optimize Azure resources, including compute, storage, and networking to ensure high availability, performance, and security.
• Leverage Azure Container Registry for container management and deployment.
• Utilize Azure AI Foundry components to integrate Artificial Intelligence solutions in applications, ensuring efficient model deployment and management.
• Develop and maintain prompt workflows for Agentic AI, ensuring seamless agent orchestration across various platforms.
• Write and manage YAML-based definitions for complex infrastructure deployments on Azure.
• Collaborate with development teams to containerize applications using Docker and facilitate their deployment on Kubernetes (AKS).
• Utilize Helm for package management of Kubernetes applications to streamline deployments.
• Monitor and analyze system performance and work towards continuous optimization and improvement.
• Troubleshoot and resolve issues related to Azure resources, containers, and AI integrations.
• Document processes, configurations, and standards to ensure knowledge sharing and compliance.
• Required Skills :
• 3-5 years of experience in DevOps or related fields, with a strong focus on Azure technologies.
• Proficiency in Azure DevOps, including pipelines, boards, and repositories.
• In-depth knowledge of Azure services : Compute, Storage, Networking, Azure Container Registry, and Azure AI Foundry.
• Experience with Agentic AI tools and principles.
• Strong understanding of Azure AI Foundry architecture and implementation strategies.
• Familiarity with prompt flow management and agent orchestration techniques.
• Experience in YAML-based configurations and automation scripts.
• Proficient in containerization technologies such as Docker and orchestration platforms like Kubernetes (AKS).
• Knowledge of Helm for managing Kubernetes applications is highly desirable.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Strong communication skills, both verbal and written...