
Quantitative Trading Firm #015
New York, NY | Full-Time | Elite Hedge Fund / Proprietary Trading
This is where Databases meet High-Performance Trading. You’ll Design and Run the Platforms that keep Global Research and Real-time trading pipelines flowing — from PostgreSQL and MySQL tuned for microsecond response, to Redis caches, observability stacks, and Infrastructure-as-Code frameworks. If you enjoy squeezing every ounce of Performance out of systems and want your work to directly shape how markets move, this role delivers.
- Design, Build, and maintain SQL and NoSQL infrastructure that supports Global Trading and Large-Scale Research.
- Scale and Optimize PostgreSQL and MySQL for Trade-Critical, Real-Time workflows.
- Investigate and Tune Database queries and systems to remove Latency Bottlenecks.
- Transform Metrics and Alerting with Prometheus, VictoriaMetrics, and Grafana.
- Architect and deploy Redis key/value stores for High-Performance Caching.
- Apply infrastructure-as-code (Terraform, Salt, etc.) to Automate Deployments and Scale.
- Prototype and Test Datastore solutions to match New Business and Research use cases.
What You Bring
- 5+ years in Infrastructure Engineering and Database management.
- Hands-on experience with PostgreSQL and/or MySQL in production.
- Deep Linux knowledge (Debian a plus).
- Strong skills in Database Design, Replication, Observability, and Security.
- Familiarity with modern DB tech and trade-offs: distributed systems, clustering (Patroni), time-series, columnar storage, relaxed consistency models.
- Python development skills for Tooling and Automation.
- Performance troubleshooting skills across DB, OS, and Networking.
- Experience with Redis, Prometheus, VictoriaMetrics, Grafana is preferred.
- Excellent communication and project management — able to work across multiple stakeholders.
- Resourceful, driven, and focused on continuous improvement.