Senior DevOps Engineer - AWS Platform

<p><p><b>Description :</b><br/><br/>Job Summary :<br/><br/>- 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.<br/><br/><b>Key Requirements (8 Points) :</b><br/><br/>- Deploy LLMs on AWS Bedrock using boto3 for scalable inference.<br/><br/>- Manage SageMaker pipelines for LLM fine-tuning with EKS/ECS and Auto Scaling.<br/><br/>- Configure CI/CD with GitlabCI and Terraform.<br/><br/>- Set up RAG infrastructure with AWS OpenSearch and langchain in VPCs.<br/><br/>- Deploy AI agents (crewai/autogen) on AWS Lambda with n8n.<br/><br/>- Orchestrate deployments with Docker on Amazon ECS/EKS using Kubernetes.<br/><br/>- Manage networking with Route 53 and NAT Gateway for secure access.<br/><br/>- Monitor infrastructure with Amazon CloudWatch and wandb.<br/><br/><b>Must-Have Skills :</b><br/><br/>- 5+ years DevOps experience with AWS and AI workflows.<br/><br/>- Expertise in AWS Bedrock, SageMaker, EC2, VPC, Route 53, NAT Gateway, Auto Scaling, ECS/EKS, boto3.<br/><br/>- Proficiency in Terraform, Docker, Kubernetes, langchain, n8n workflows.<br/><br/>- Experience with CI/CD (CodePipeline/CodeBuild) and monitoring.<br/><br/><b>Preferred Skills :</b><br/><br/>- AWS certification (DevOps Engineer/Solutions Architect).<br/><br/>- Familiarity with llama-index, n8n templates.<br/><br/></p><br/></p> (ref:hirist.tech)