Sr. Devops Engineer

Job Description

Title: Sr. Devops Engineer Duration: 6+ month (with full chances of extension) Location: Hybrid Experience: 5+ yrs Main Pointers Minimum 5 years with Terraform, Azure (definitely) + AWS additional infra, Kubernetes clusters/Docker, Jenkins and Azure CI/CD setup whether startup or enterprise setup, we need someone preferably with some application architecture experience. To be either solid learning truck currently on using AI agents in their development process or practicing the same Position Overview: We are seeking a highly skilled and experienced Senior DevOps Engineer with a strong background in Terraform, Azure, and AWS infrastructure. The ideal candidate will have a minimum of 5 years of hands-on experience in DevOps practices, with expertise in managing Kubernetes clusters, Docker, Jenkins, and Azure CI/CD pipelines. Additionally, candidates with a background in application architecture and a passion for leveraging AI agents in development processes will be preferred. Key Responsibilities: Design, implement, and manage scalable infrastructure using Terraform and cloud platforms such as Azure and AWS. Deploy, manage, and monitor Kubernetes clusters and Docker containers to ensure optimal performance and availability. Set up and maintain CI/CD pipelines using Jenkins and Azure DevOps for seamless code integration and deployment. Collaborate with development and operations teams to ensure efficient infrastructure and application performance. Contribute to application architecture design and provide recommendations to improve scalability and reliability. Explore, implement, and advocate for AI-driven development processes, staying current with trends and technologies. Troubleshoot and resolve infrastructure and deployment issues promptly to minimize downtime. Document processes, best practices, and tools to streamline operations and enhance team knowledge. Required Skills and Experience: Minimum of 5 years of experience in a DevOps role. Proficiency in Terraform for infrastructure as code. Expertise in Azure, with additional experience in AWS being a strong advantage. Hands-on experience with Kubernetes and Docker. Solid understanding of CI/CD pipelines, particularly with Jenkins and Azure DevOps. Background in application architecture and the ability to provide scalable solutions. Knowledge or active learning in using AI agents within the development lifecycle is highly desirable. Strong problem-solving skills, attention to detail, and a proactive approach to work. Please share the resume to sravani.n@skilviu.com or contact +91 70754 98530