Database Engineering - Lead Engineer
Tasks
- Architect build and operate production AI ML infrastructure
- Develop infrastructure as code
- Ensure database security
- Implement monitoring, logging, and alerting
- Maintain CI CD pipelines for ML systems
- Optimize vector search and embedding systems
- Own database system lifecycle
- Participate in on-call support
- Support Kubernetes based ML workloads
Perks/Benefits
- Advanced technology exposure
- Career growth opportunities
- Comprehensive benefits and rewards
- Fully remote
- Ownership culture
- Structured working hours
Skills/Tech-stack
Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Bedrock | Amazon DocumentDB | Amazon EKS | Amazon Redshift | Aurora PostgreSQL | CI/CD | CloudFormation | CloudWatch | Crossplane | Disaster Recovery | Embedding Optimization | Encryption | GPU autoscaling | Grafana | IAM | Kubernetes | Langchain | Llamaindex | OpenSearch | PostgreSQL | RAG | Redis | Retrieval-Augmented Generation | SageMaker | TGI | TLS | Terraform | VLLM | Vector Search
Education
N/A
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