AI Cloud & DevOps Engineer (AWS)

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

1. AWS: EC2, IAM, VPC, S3, RDS, Lambda, ECS/EKS, CloudWatch, Route 53, ALB/NLB, Auto Scaling, Secrets Manager
2. DevOps: Docker, Terraform/CloudFormation, Git, GitHub Actions/Jenkins/GitLab CI, Linux, Bash
3. AI/Data: AI/ML deployment, MLOps concepts, LLM application deployment; RAG/vector databases are a plus
4. 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