Manager Dev Ops_ AWS & AI
- 🇮🇳 India
- On-site
- Manager or above
- 1 day ago
- AWS
- EC2
- VPC
- NAT
- Kubernetes
- EKS
- Machine Learning
- Terraform
- n8n
- Docker
- AWS Bedrock
- ECS
- CI/CD
- GitLab CI
- RAG
- OpenSearch
- LangChain
- AI
- CrewAI
- AutoGen
- AWS Lambda
- CloudWatch
- Weights & Biases
- Devops
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Job Summary: |
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Manage and optimize 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. |
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Key Requirements (8 Points): |
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1.Deploy LLMs on AWS Bedrock using boto3 for scalable inference. |
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2.Manage SageMaker pipelines for LLM fine-tuning with EKS/ECS and Auto Scaling. |
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3.Configure CI/CD with GitlabCI and Terraform. |
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4.Set up RAG infrastructure with AWS OpenSearch and langchain in VPCs. |
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5.Deploy AI agents (crewai/autogen) on AWS Lambda with n8n |
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6.Orchestrate deployments with Docker on Amazon ECS/EKS using Kubernetes. |
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7.Manage networking with Route 53 and NAT Gateway for secure access. |
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8.Monitor infrastructure with Amazon CloudWatch and wandb. |
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Must-Have Skills: |
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· 7+ years DevOps experience with AWS and AI workflows. |
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·Expertise in AWS Bedrock, SageMaker, EC2, VPC, Route 53, NAT Gateway, Auto Scaling, ECS/EKS, boto3. |
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·Proficiency in Terraform, Docker, Kubernetes, langchain, n8n workflows. |
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·Experience with CI/CD (CodePipeline/CodeBuild) and monitoring. |
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Preferred Skills: |
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·AWS certification (DevOps Engineer/Solutions Architect). |
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·Familiarity with llama-index, n8n templates |
Manager Dev Ops_ AWS & AI · Tredence