Senior Cloud Engineer

Job Summary We are seeking a Senior Cloud Engineer with strong expertise in CI/CD pipeline development, cloud infrastructure, and deployment automation to support AI-driven platform environments. This role focuses on designing, enhancing, and maintaining scalable deployment pipelines and optimizing cloud infrastructure performance across containerized environments. The ideal candidate will have deep experience with GitLab-based CI/CD workflows, cloud platforms such as AWS and Google Cloud Platform, and infrastructure automation best practices. Key Responsibilities Design, build, and maintain CI/CD pipelines with a focus on GitLab and Argo-based workflows. Analyze, enhance, and extend existing deployment pipeline frameworks while developing new automation solutions for additional use cases. Collaborate with AI/ML development teams to optimize infrastructure scalability and performance for containerized applications. Monitor and improve platform performance, resource utilization, and deployment reliability. Support cloud migration initiatives, including migration efforts from AWS to Google Cloud Platform. Provide infrastructure guidance and best practices related to containerization and orchestration strategies. Ensure deployment pipelines are reliable, repeatable, secure, and aligned with organizational standards. Troubleshoot and resolve infrastructure, deployment, and pipeline-related issues. Collaborate effectively with cross-functional technical and business teams. Document pipeline configurations, infrastructure standards, operational procedures, and deployment processes. Required Qualifications 5+ years of experience in cloud engineering, infrastructure engineering, or related roles. Strong hands-on experience building and managing CI/CD pipelines using GitLab or similar technologies. Experience reading, understanding, and extending existing pipeline architectures. Hands-on experience with AWS and/or Google Cloud Platform cloud platforms. Familiarity with deployment orchestration tools such as Argo workflows. Experience supporting containerized environments from an infrastructure perspective. Strong understanding of scalability, system performance optimization, and resource management. Experience with containerization technologies such as Kubernetes and Docker. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication and collaboration skills with the ability to work across technical and non-technical teams. Preferred Qualifications Experience with Kubernetes orchestration platforms and container management. Exposure to Kore.ai platforms or AI-driven application environments. Background in AI, NLP, or machine learning-related infrastructure environments. Knowledge of SIP or Voice over IP (VoIP) technologies. Experience supporting or leading cloud migration initiatives from AWS to Google Cloud Platform. Education: Bachelors Degree