
Senior Backend Engineer
Há 4 dias
We are seeking a seasoned data engineer to lead our backend and data infrastructure.
Key Responsibilities- Data Pipeline Design: Own the design, implementation, and optimization of real-time data pipelines for market data, user interactions, and agent logs, ensuring low-latency and fault tolerance.
- Backend Services: Architect and build backend services powering agent orchestration, portfolio optimization, and execution, with a focus on performance, cost efficiency, and scalability.
- Quant Model Deployment: Work closely with quant researchers and AI / LLM engineers to deploy trading algorithms and integrate them into the platform, ensuring seamless production runs.
- System Reliability: Collaborate with smart contract engineers to ensure vault and execution layers are tightly integrated with backend systems, and define best practices in CI / CD, observability, and system reliability.
- 7+ years of experience in backend and data engineering.
- Strong expertise in distributed data processing (e.g., Flink, Kafka, Spark) and real-time streaming systems.
- Proven track record of building and scaling microservice architectures (Python / FastAPI, Go, or similar).
- Deep understanding of database systems (SQL and NoSQL) and data modeling for high-throughput environments.
- Experience deploying and monitoring ML / quant models in production.
- Comfort working in high-ambiguity startup environments and making architectural bets.
- Work at the intersection of AI, finance, and blockchain.
- Own the hardest technical problems in a system designed to scale from thousands to hundreds of thousands of autonomous agents.
- Be part of a founding team, shaping a new category: AI Wealth Management.
We're moving fast – from closed Beta to global rollout – and need a technical leader who can own backend and data infra at scale. If you're passionate about technology and want to make a meaningful impact, we'd love to hear from you.
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