Teams at DV Trading

Develop and operate back-office systems supporting trading, risk management, accounting, and settlements. Responsibilities include real-time and batch data processing, database schema design, daily reporting, job monitoring, trade-data flow management, and production reliability. The role requires advanced Python, PostgreSQL, workflow orchestration, CI/CD, testing, incident response, and communication with non-engineering teams. Preferred experience includes futures and options trade lifecycles, reconciliation, FIX and SFTP ingestion, DevOps/SRE practices, legacy modernization, and AI automation.

Own and evolve an on-prem Kubernetes platform supporting trading systems. Responsibilities include cluster lifecycle management, observability with metrics, logs, and traces, GitOps and CI/CD infrastructure, infrastructure automation, and self-service tooling. The engineer will onboard trading and development teams, build documentation and runbooks, troubleshoot Linux systems, and scale reliable platform services across the firm.

Build and productionize quantitative trading tools, energy-market models, analytics, data pipelines, and visualization tools. Collaborate with traders, quants, and engineers to develop signal research, backtesting, risk and pricing integrations, and time-series data infrastructure. Monitor, test, document, and iteratively improve production models and tools based on trader feedback.