Senior Backend Engineer (Python)

BTSE • TW

Python

About BTSE:

彼特思方舟 is a specialized service provider dedicated to delivering a full spectrum of front-office and back-office support solutions, each of which are tailored to the unique needs of global financial technology firms.

彼特思方舟 is engaged by BTSE Group to offer several key positions, enabling the delivery of cutting-edge technology and tailored solutions that meet the evolving demands of the fintech industry in a competitive global market.

BTSE Group is a leading global fintech and blockchain company that is committed to building innovative technology and infrastructure. BTSE empowers businesses and corporate clients with the advanced tools they need to excel in a rapidly evolving and competitive market. BTSE has pioneered numerous trading technologies that have been widely adopted across the industry, setting new benchmarks for innovation, performance, and security in fintech. BTSE’s diverse business lines serve both retail (B2C) customers and institutional (B2B) clients, enabling them to launch, operate, and scale fintech businesses. BTSE is seeking ambitious, motivated professionals to join our B2C and B2B teams.

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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