Jobs at DriveWealth

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

Manage and grow a portfolio of fintech partner relationships across the post-sales lifecycle. Responsibilities include revenue expansion, retention, trade monitoring, trade support, settlement coordination, issue escalation, partner feedback, executive engagement, and cross-functional collaboration with sales, finance, product, technology, and operations teams. The role supports Asia-related trading activities and requires Mandarin and English fluency, strong financial technology experience, and substantial trade support expertise.

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.

Lead architecture, design, and delivery of ultra-low-latency, high-throughput trading systems. Build and maintain REST APIs, microservices, event-driven platforms (Kafka/Kubernetes), CI/CD and automated tests, and support 24x7 production operations. Provide technical leadership and mentorship, collaborate with Broker Dealer Operations, and improve performance, reliability, and scalability for multi-asset trading.

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.