DevOps Engineer

Title: DevOps Engineer AI Location: Remote This role will be responsible for designing, developing, deploying, and maintaining scalable applications across the full technology stack—from frontend user experiences and backend services to databases, AI integrations, cloud infrastructure, and automated deployment pipelines. The ideal candidate combines strong software engineering skills with modern DevOps practices and hands-on experience integrating AI/LLM technologies into enterprise applications. Required Qualifications : Hands-on experience with CI/CD tools such as: GitHub Actions GitLab CI/CD Azure DevOps Jenkins Experience with containerization and orchestration: Docker Kubernetes Experience deploying applications to Azure, AWS, or GCP. Experience with Git-based development workflows. Implement Infrastructure as Code (IaC) using Terraform, Bicep, or CloudFormation. Integrate AI/LLM services such as OpenAI, Anthropic, Azure AI Foundry, AWS Bedrock, or similar platforms. Develop AI-powered features including chatbots, intelligent workflows, RAG solutions, agents, and automation tools. Design and maintain CI/CD pipelines for automated build, test, security scanning, and deployment.