Senior AI Data Infrastructure Engineer
Tasks
- Deploy infrastructure using Infrastructure-as-Code
- Design ETL and ELT data pipelines
- Implement CI/CD best practices
- Manage data pipeline lineage and reproducibility
- Monitor and alert data processing workflows
- Optimize distributed data processing systems
- Preprocess and validate AI training datasets
- Process structured and unstructured data at scale
Perks/Benefits
- 401k plan
- Comprehensive office equipment
- Flexible work environment
- Health, dental, vision insurance
- Remote work options
- Stock options
- Unlimited flexible time off
Skills/Tech-stack
Alerting | CI/CD | Caching | Cloud Object Storage | Data Lakes | Data Preprocessing | Data Quality | Data Sharding | Dataset Lineage | Distributed Systems | ELT | ETL | Feature extraction | Flink | IaC | Kubernetes | Monitoring | Object storage | Ray | Reproducibility | Spark | Structured data | Terraform | Unstructured Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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