CloudOps Lead
Lahore, Punjab, Pakistan
USD 126K-185K (estimate) Senior-level Full Time
Tasks
- Build and operate AI ML infrastructure for SageMaker and Bedrock
- Build and operate EC2 ECS EKS and Lambda services
- Conduct presales activities and proof of concepts
- Contribute to AWS Partner accreditation requirements
- Create reusable cloud architectures templates and documentation
- Design secure scalable AWS infrastructure
- Enable AI ML and GenAI workloads on AWS
- Implement DevOps and CI/CD pipelines
- Manage AWS cloud infrastructure
- Manage AWS networking IAM security monitoring and cost optimization
- Monitor and log cloud and ML inference workloads
- Support cloud migration and modernization
Perks/Benefits
- Company-paid trips
- Easy loan facility
- Gym membership
- Health insurance
- Leaves as per company policy
- Maternity benefits
- Yearly increment
Skills/Tech-stack
AWS | AWS CloudFormation | AWS CodePipeline | AWS IAM | AWS Lambda | Amazon Bedrock | Amazon CloudWatch | Amazon DynamoDB | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon OpenSearch | Amazon OpenSearch Service | Amazon RDS | Amazon Route 53 | Amazon S3 | Amazon SageMaker | Amazon VPC | Bash | CI/CD | Chroma | Docker | Elastic Load Balancing | Faiss | FastAPI | GitHub Actions | GitLab CI | Kubernetes | Load Balancing | MLOps | MLflow | OpenSearch | Pinecone | Python | Retrieval-Augmented Generation | Route 53 | Sagemaker Pipelines | Terraform | Vector Database
Education
N/A
Roles
AI Practice Lead | AWS Cloud & AI Practice Lead | CloudOps Lead | DevOps | DevOps Engineer | Engineer | Lead | Practice Lead
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