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# Developer Relations Engineer

- **Company:** FD Technologies
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $125,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Python (Programming Language), Reference Data, Standard Sql, Search Technologies, Data Streaming, Video Encoding, Data Storage Technologies, Retrieval-Augmented Generation, KDB+, Kubernetes, Apache Kafka, Virtual Agents, Data Pipelines, Docker
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/developer-relations-engineer-new-york-ny--1bb0c2e0-3521-43c2-9382-823ddb67e8bf

## About the Role

Artificial Intelligence (AI), Healthcare, Investment Services, Aerospace and Defense, Manufacturing, Vehicle Fleets, Biology, Sales, Use Cases, Capital Markets, * 5+ years in solutions engineering/architecting or developer relations building credible, data-heavy solutions, demos, and prototypes.

 * Kdb+/q proficiency: experience handling low-latency time-series data, designing queries, building efficient data pipelines (data engineering), using attributes, and optimizing data storage/retrieval workflows
 * Strong Python (PyKX a plus) and SQL
 * Comfort with streaming (Kafka), containers (Docker), basic Kubernetes

Skills

 * Fluency with market data (tick/reference data), order book structure, and backtesting workflows; ability to reason about latency-critical vs. intraday/EOD decision-timeliness.
 * Understanding of tick architectures (tickerplant/RDB/IDB/HDB)
 * Experience with cloud (AWS/Azure/GCP)
 * DevRel: you can present, teach, write, demo, create social media content, and interact with and grow the developer community.

Preferred Qualifications

 * Direct capital markets experience (quant, trader, market maker, market risk management, etc)
 * Experience with GPU acceleration and NVIDIA ecosystem, AI agent patterns (incl. MCP), RAG/vector search, and lakehouse integrations.
 * Familiarity with capital markets regulated workflows and surveillance scenarios.

## Description

* Design and ship repeatable standard demos across the capital markets workflow, emphasizing value driven outcomes like faster signal, accelerated algo research-to-prod, and enhanced alpha capture.
 * Package each use-case with a technical storytelling deck, live demo, persona-specific talking points, video recording, and click-through demos; centralize access and enable ad-hoc deployment with minimal setup.
 * Cover cross-cutting topics with smaller, high-leverage assets (deck + demo + blog/webinar): AI agent integration (e.g., MCP), lakehouse interoperability, GPU/NVIDIA acceleration.
 * Partner tightly with Product Management, Product Marketing, and Presales/TAM to align essential messaging to personas and verticals (hedge fund, market maker, asset manager), overcome market challenges, collect feedback, and improve the framework.
 * Evangelize and enable the community (Internal & External) by running webinars, training sessions, conference talks, blogs/tutorials, and curating a strong social media presence.