30 sep
|
Terminal
|
Colombia
About Volfront
Options analytics and intelligence consultancy. We combine decades of derivatives expertise with AI to build tools and solutions for volatility traders. Purpose-built by practitioners, for practitioners.
About Volfront
Options analytics and intelligence consultancy. We combine decades of derivatives expertise with AI to build tools and solutions for volatility traders. Purpose-built by practitioners, for practitioners.
About The Role
VolFront builds volAI, a conversational AI terminal for professional options traders. Behind the chat interface is a proprietary data layer: vol surfaces, IV-by-delta, realized vol, earnings analytics, dividend forecasts, option prints, OCC volume, fundamentals, and live quotes - all produced by an in-house fleet of data loaders. When a loader fails, traders see stale or missing data. Data freshness and correctness ARE the product - and our proprietary, in-house data is a core competitive moat that is constantly expanding with bespoke datasets you will not find anywhere else.
The role You own the data-loader fleet - the loader repository, its scheduled tasks, the live-quote infrastructure, and the PostgreSQL schema behind it - as the senior engineer accountable for it. The founder sets product and domain direction and does not write the code; you turn that into a pipeline that is correct, current, observable, and continuously improving.
What You’ll Do
- Be the single accountable owner of the market-data pipeline: a large fleet of Windows scheduled tasks on an Azure batch VM (US Central time), systemd timers and Go loaders on a Linux quote-cache host, the sidecar Postgres + FDW layer, and the analytics schema they write to.
- Set the engineering standard for ingestion: schema design, idempotency, partitioning, backfill strategy, error handling, and data-contract discipline across every loader.
- Own the PostgreSQL data layer at scale: partitioned options tables in the 100M-plus-row range, indexing and query performan
📌 Senior Data Engineer (Colombia)
🏢 Terminal
📍 Colombia