Data Engineering - AI Platform Engineer
Tasks
- Build observability logging metrics tracing
- Build shared libraries
- Conduct code reviews
- Create automated testing
- Design backend services
- Develop metadata-driven pipelines
- Ensure production readiness
- Ensure security and compliance requirements
- Implement CI/CD pipelines
- Implement authentication
- Implement batch ingestion frameworks
- Implement role-based access control
- Implement streaming ingestion frameworks
- Integrate API and consumption layers
- Integrate enterprise entitlements
- Perform on-call incident management
- Set up alerting and operational dashboards
- Troubleshoot production issues
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AWS | Access Control | Authentication | Azure | CI/CD | Containers | Data Modeling | Distributed Computing | GCP | Java | Kafka | Kubernetes | Logging | Metrics | Python | Role-Based Access | Role-Based Access Control | Rust | SQL | Tracing
Education
N/A
Roles
AI | AI Platform Engineer | Data Engineer | Engineer | Platform Engineer
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