Brokerage-as-a-Service APIs powering investing and trading for partners
DriveWealth runs an API-first brokerage infrastructure business for banks, broker-dealers, wallets and consumer brands, built on Java, Go and Python atop Kafka, Kubernetes and AWS, with DTCC connectivity. Active work on an ultra-low-latency trading core and failover design, plus a heavy QA tooling layer (Playwright, Cucumber, REST Assured, Allure), points to a firm hardening execution reliability. Senior-weighted, accelerating hiring now spans the US, UK and UAE.
Notable leadership hires: Head of Security GRC
DriveWealth is a privately held fintech headquartered in New York, NY, with 201–500 employees. It operates as a registered broker-dealer and offers Brokerage-as-a-Service, letting banks, broker-dealers, asset managers, digital wallets and consumer brands embed investing and trading into their own products. Partners integrate through APIs supporting both conventional investment workflows and features such as fractional share purchases from rounded-up spending. Its data platform runs on Databricks, Spark, dbt and Airflow.
DriveWealth uses Java, Go, Python and TypeScript with Kafka, PostgreSQL, Kubernetes, Terraform and AWS, plus Databricks, Spark, dbt and Airflow for data, and DTCC for post-trade connectivity.
DriveWealth is hiring in the United States, the United Kingdom and the United Arab Emirates, with recruiting pace accelerating and skewed toward senior roles.
Current initiatives include an ultra-low-latency core trading system, state persistence and failover design, an internal SRE platform, Rundeck and Airflow orchestration, and threat-intelligence capabilities.
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DriveWealth's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.