Jobs at DriveWealth

Lead the design, development, and implementation of low-latency brokerage systems, mentor engineering teams, and ensure high performance of trading applications.

Performs supervisory reviews of trade and order exception reports, investigates root causes, documents findings, clears queues, tracks corrective actions, and escalates issues under written supervisory procedures. Maintains examination-ready records, supports regulatory inquiries, identifies recurring exception patterns, and partners with Engineering and Brokerage Operations to improve monitoring workflows. The role requires familiarity with FINRA rules, regulatory transaction reporting, strong judgment, and an active Series 7 license.

Own capital-markets product solutions from discovery through production readiness. Translate business needs into requirements, user stories, acceptance criteria, process flows, and data definitions. Analyze trade-processing workflows and data using SQL, design API and event-driven integrations, manage backlogs, investigate production issues, and align Product, Engineering, Operations, Compliance, and external market participants. Requires deep U.S. capital-markets and back-office transaction-processing expertise in a fintech, brokerage, banking, clearing, custody, or related technology environment.

Lead scrum teams and manage complex, cross-functional programs from planning through release and end-user adoption. Facilitate Agile ceremonies, quarterly PI Planning, dependency management, release planning, risk reporting, and stakeholder communication across engineering, product, compliance, and operations. Coach teams on Agile practices, support organizational transformation, and use Jira, Confluence, and Google Workspace to manage workflows and reporting in a regulated fintech environment.

Build and optimize pricing and order-handling logic for an ultra-low-latency trading engine. Translate quantitative models into deterministic production code, improve concurrency and performance, design state persistence and failover mechanisms, write comprehensive tests, and support production operations. Collaborate with traders, risk managers, and quant researchers on trading-system correctness, auditability, capacity planning, and incident response.

Leads an SRE Automation Engineering team while remaining hands-on in platform reliability, automation, incident response, and infrastructure architecture. The role establishes SRE practices including SLOs, error budgets, toil reduction, and blameless postmortems; develops Rundeck and Airflow workflows; governs Terraform, ArgoCD, Kubernetes, and AWS environments; and drives high availability, security, cost optimization, and capacity planning. The manager also handles mentoring, performance management, Jira prioritization, stakeholder collaboration, and participation in 24/7 on-call rotations.

Provide escalated operational support for global B2B clients on an API-based investing platform. Troubleshoot client issues, triage and document cases, coordinate with Engineering, Compliance, Onboarding and Product, improve workflows and documentation, contribute to client enablement, and participate in weekend support coverage.

The Principal Data Engineer will lead complex data projects, design robust data pipelines, and drive architectural strategy for a scalable data ecosystem, while mentoring other engineers and ensuring the quality and usability of data solutions.

Lead second-line oversight of market, credit, liquidity, and counterparty risk. Build the financial risk appetite, margin program, liquidity and counterparty frameworks, and reporting to executive leadership and the Board. Partner with Treasury, Trading, Finance, Operations, Engineering, and Compliance. Hire and develop a quantitative risk team and scale tooling, including agentic AI for monitoring and exposure aggregation.