Principal Engineer (Data Platform)
Tasks
- Architect context store for AI systems
- Debug distributed systems across Kubernetes and microservices
- Design data contracts for heterogeneous systems
- Design platform services and APIs
- Drive technical standards and architecture reviews
- Mentor engineers and influence architecture decisions
- Own infrastructure components including lakehouse vector stores graph databases and OLTP systems
- Solve multi-tenant scaling problems
- Write production code using AI-assisted development tools
Perks/Benefits
Skills/Tech-stack
APIs | Cloud infrastructure | Distributed Systems | Graph Databases | Infrastructure Design | Kubernetes | Lakehouse architectures | Microservices | Streaming systems | Vector Stores
Education
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