Platform & Data Engineer
Tasks
- Build SDK and self service onboarding
- Build internal tools/APIs
- Build user facing query tooling
- Collaborate on data product design
- Design API versioning
- Design indexing strategy
- Design multi tenancy
- Design self service query layer
- Enhance Kubernetes debuggability
- Implement authentication
- Implement end to end error tracking
- Implement log aggregation
- Implement sharding strategy
- Improve Kubernetes scalability
- Ingest data with MongoDB
- Maintain ETL pipelines
- Operate Kubernetes platform infrastructure
- Optimize database queries
- Own production observability stack
- Plan capacity for internal services
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Versioning | Aggregation Pipeline | Authentication | Capacity Planning | Data Pipelines | ETL | Error Tracking | Indexing | Kubernetes | Log Aggregation | MongoDB | Multi-tenancy | Observability | Python | Query Optimization | SDK development | Sharding
Education
Roles
Regions
Countries
States
Cities
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