Lead Backend & Data Engineer
Tasks
- Build Apache Beam data ingestion pipelines
- Define Pydantic API contracts
- Deploy and manage Temporal workers
- Design multi-hop graph queries with ISO GQL
- Develop Temporal activity definitions
- Develop Temporal workflow definitions
- Develop backend services with FastAPI
- Implement gRPC connection pooling
- Implement resilient distributed workflows
- Implement retries compensation and state management
- Integrate with LangChain and LangGraph
- Manage Temporal client integrations
- Optimize Apache Beam pipelines on Dataflow and Flink
- Optimize Google Cloud Spanner performance
- Separate synchronous requests from long running async processing
Perks/Benefits
- Flexible work model
- Great offices
- Hybrid work model
- Language classes
- Laptop and gear
- Private health insurance
- Social events
- Training
- Wellbeing programs
Skills/Tech-stack
Apache Beam | Apache Flink | Asynchronous programming | Cadence | Cloud Dataflow | Cloud Spanner | Compensation Logic | Cypher | Deterministic execution | Distributed Systems | FastAPI | GRPC | Google Cloud | Google Cloud Dataflow | Google Cloud Spanner | Gremlin | ISO GQL | Idempotent Writes | Pydantic | Python | Retry logic | SQL | Temporal | Watermarks | Windowing | Workflow Orchestration
Education
N/A
Roles
Backend | Backend Engineer | Data Engineer | Data Platform | Data Platform Engineer | Engineer | Platform Engineer
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