Rogo is on a mission to transform global finance with AI that delivers speed, accuracy, and insight to top investment banks and firms. They are seeking a Senior Backend Engineer for their Financial Data team to develop robust systems for sourcing, integrating, and serving financial data. The role involves architecting scalable data processing pipelines and ensuring data quality to enable Rogo's AI capabilities.
Responsibilities:
- Own critical data infrastructure: Take complex requirements and turn them into robust, scalable solutions that ingest, transform, and serve financial datasets reliably — end to end, from conception to production
- Architect for scale and performance: Design and build highly scalable, cost-effective data processing pipelines that handle millions of documents and datapoints daily with very low latency and maximum throughput
- Drive data integration: Build systems that connect heterogeneous financial datasets — market data vendors, proprietary sources, third-party providers — into coherent, reliable, queryable platforms that power Rogo's AI layer
- Enable AI with great data: Work closely with the Core AI team to ensure financial data is structured, clean, and served in ways that maximize the performance and reliability of Rogo's models and retrieval systems. Critically, the data pipelines, transformations, and interfaces you build are themselves powered by the same AI techniques and innovation used across the rest of the platform — you are not just feeding the machine, you are part of it
- Handle customer data with care: Build secure, compliant integrations that treat enterprise customer data with the highest standards of trust, privacy, and reliability — from ingestion through to serving
- Raise the bar: Lead by example — write the kind of code, make the kind of decisions, and bring the kind of energy that naturally elevates everyone around you
- Be a cultural anchor: Foster a culture of learning, craft, and ownership not through direction, but through how you show up every day