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About BTSE:
BTSE Group is a global leader in fintech and blockchain technology, anchored by three core business pillars: Exchange, Payments, and Infrastructure Development. Serving over 100 corporate clients worldwide, we provide white-label exchange and payment solutions. Our offerings encompass everything from exchange infrastructure hosting and development to custody, wallets, payments, blockchain integration, trading, and more. We are looking for talented professionals in marketing, operations, customer support, and other departments. The roles offered may be on-site, remote, or hybrid, in collaboration with our local partner.
About the opportunity:
You own all data ingestion and the API backend that powers the platform. You build a pluggable connector framework that can ingest data from any financial data source — crypto exchange WebSockets, on-chain analytics providers, news wires, regulatory filings, social media feeds — and expose it through a fast, tenant-aware API. For the first client, this means crypto-specific data feeds and 24/7 operation. The architecture must support adding entirely different data sources for future clients without re-architecture.
Responsibilities
- Build a pluggable data connector framework: a standardised interface for adding new data sources, each publishing to an event bus with a common schema envelope.
- Build the first set of connectors: crypto exchange WebSocket feeds (price, order book, funding rates), on-chain analytics APIs, regulatory filing feeds, news wire APIs, social media filtered streams.
- Build a proprietary data ingestion interface: API and upload mechanism for enterprise clients to ingest their internal documents, research notes, and datasets into their isolated tenant storage.
- Build the FastAPI backend: RAG-powered Q&A endpoints, structured event analysis, WebSocket live feed, on-chain data queries, feedback collection — all tenant-aware.
- Build resilient WebSocket connection management for always-on data feeds: automatic reconnection, failover, deduplication.
- Own API performance: sub-2-second response times for AI-powered queries, sub-500ms for data queries.
Requirements
- 5+ years backend engineering; strong Python (FastAPI, asyncio, Pydantic).
- Deep experience with WebSocket architectures: persistent connections, reconnection logic, backpressure.
- Event-driven architectures: Kafka producers/consumers, message serialisation (Avro or Protobuf).
- REST and WebSocket API design with multi-tenant patterns.
- Experience building extensible, pluggable data ingestion frameworks.
Nice to have
- Experience with crypto exchange APIs (Coinbase, Binance, Deribit, OKX).
- Experience with on-chain data providers (Glassnode, CryptoQuant, Nansen, Dune).
- Familiarity with financial data formats across multiple asset classes.
- Experience building pipelines that operate 24/7 with no maintenance windows.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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