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
