Manage and optimise AWS infrastructure EC2 VPC Route 53 NAT Gateway Auto Scaling Kubernetes EKS for generative AI solutions ensuring scalable secure deployments with Terraform n8n and tools like Docker
Key Requirements 8 Points
1. Deploy LLMs on AWS Bedrock using boto3 for scalable inference
2.Manage SageMaker pipelines for LLM finetuning with EKSECS and Auto Scaling
3. Configure CICD with GitlabCI and Terraform
4. Set up RAG infrastructure with AWS OpenSearch and langchain in VPCs
5. Deploy AI agents crewaiautogen on AWS Lambda with n8n
6. Orchestrate deployments with Docker on Amazon ECSEKS using Kubernetes
7. Manage networking with Route 53 and NAT Gateway for secure access
8. Monitor infrastructure with Amazon CloudWatch and wandb
Must Have Skills
5 years DevOps experience with AWS and AI workflows
Expertise in AWS Bedrock SageMaker EC2 VPC Route 53 NAT Gateway Auto Scaling ECSEKS boto3
Proficiency in Terraform Docker Kubernetes langchain n8n workflows
Experience with CICD CodePipelineCodeBuild and monitoring
Preferred Skills
AWS certification DevOps EngineerSolutions Architect
Familiarity with llamaindex n8n templates
React Developer 2 developers 1 by 15h Nov and 2nd by 10th Dec
Overall 6 to 10 years of Exp
4 years of excellence in ReactJs Nodejs and Nextjs"

Keyskills: docker devops aws python kubernetes
[NSE: LTIMindtree] is a global technology consulting and digital solutions LTIMindtree company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 75...