AI Cloud & DevOps Engineer (AWS)

Job Description

CanData.ai is a fast-growing AI & technology company focused on AI Consulting, Agentic AI, Product Engineering, DataOps, MLOps, and Business Process Automation . We build secure, scalable, cloud-native AI solutions for global enterprises. We’re looking for an AI Cloud & DevOps Engineer to build and manage AWS infrastructure, automate deployments, and support AI/ML workloads in collaboration with our AI, Data, and Software Engineering teams. Location : Kochi - Work From Office Experience : 2-3 Years Employment Type : Full-Time Key Responsibilities Design and manage AWS infrastructure for AI applications. Build CI/CD pipelines for web, API, and AI workloads. Automate infrastructure using Terraform / CloudFormation . Deploy containerized applications using Docker, ECS/EKS . Support MLOps, model deployment, monitoring, and scaling. Implement logging, security, monitoring, and disaster recovery. Optimize cloud performance and costs. Collaborate across AI, Data, and Product teams. Required Skills AWS : EC2, IAM, VPC, S3, RDS, Lambda, ECS/EKS, CloudWatch, Route 53, ALB/NLB, Auto Scaling, Secrets Manager DevOps : Docker, Terraform/CloudFormation, Git, GitHub Actions/Jenkins/GitLab CI, Linux, Bash AI/Data : AI/ML deployment, MLOps concepts, LLM application deployment; RAG/vector databases are a plus Programming : Python, Bash, Basic SQL Good to Have AWS Certified Solutions Architect / DevOps Engineer Amazon Bedrock, SageMaker, or EKS Redis, PostgreSQL, OpenSearch/Elasticsearch Prometheus/Grafana SQS, EventBridge, SNS Infrastructure Security / DevSecOps experience