DevOps Intern

As a DevOps Intern at LiaPlus AI, you will play a crucial role in building, automating, and securing our AI-driven infrastructure. You will be working closely with our engineering team to optimize cloud operations, enhance security & compliance, and streamline deployments using DevOps & MLOps best practices. Your primary responsibilities will include infrastructure management by deploying and managing cloud resources on Azure as the primary platform. You will also be responsible for setting up robust CI/CD pipelines for seamless deployments, ensuring systems align with ISO, GDPR, and SOC 2 compliance for security & compliance, setting up monitoring dashboards and logging mechanisms for system observability, managing and optimizing PostgreSQL, MongoDB, Redis for performance, writing automation scripts using Terraform, Ansible, and Bash for automation & scripting, managing API gateways like Kong and Istio for network & API gateway management, implementing failover strategies for disaster recovery & HA to ensure system reliability, and deploying and monitoring AI models using Kubernetes and Docker for AI model deployment & MLOps. Requirements: - Currently pursuing or recently completed a Bachelor's/Master's in Computer Science, IT, or a related field. - Hands-on experience with Azure, CI/CD tools, and scripting languages (Python, Bash). - Understanding of security best practices and cloud compliance (ISO, GDPR, SOC 2). - Knowledge of database optimization techniques (PostgreSQL, MongoDB, Redis). - Familiarity with containerization, orchestration, and AI model deployment (Docker, Kubernetes). - Passion for automation, DevOps, and cloud infrastructure. Benefits: - Competitive compensation package. - Opportunity to work with cutting-edge technologies in AI-driven infrastructure. - Hands-on experience in a fast-paced and collaborative environment. - Potential for growth and learning opportunities in the field of DevOps and MLOps. Join us at LiaPlus AI to be part of a dynamic team that is reshaping the future of AI infrastructure through innovative DevOps practices.,