Jobs at DriveWealth

Build, maintain, and monitor batch, streaming, and replication data pipelines; translate business needs into data solutions; enforce data modeling, orchestration, and quality best practices; participate in code reviews and knowledge sharing; enable self-service curated data products and semantic layers for analytics and compliance.

Build and scale Java backend services for the Party & Account System managing onboarding, KYC, account lifecycle, and clearing integrations. Deliver high-availability REST APIs and Kafka-driven asynchronous workflows, partner with product/compliance teams, monitor EKS/Postgres/DynamoDB/Redis systems, and ensure regulatory and performance SLAs are met.

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.

Design, build, and operate core Web3 platform services for wallet operations, transaction orchestration, settlement, and blockchain integrations. Implement secure, high-throughput, fault-tolerant distributed systems, API-first microservices, Kafka-based event architectures, observability with OpenTelemetry, and CI/CD-driven testing and DevSecOps practices. Provide L2/L3 production support and technical leadership.

Own end-to-end QA for DriveWealth's digital assets products by designing and implementing automated API and event-driven test frameworks. Validate custodial integrations, blockchain settlement, Kafka message flows, and regulatory compliance. Integrate tests into CI/CD, support production incident triage, mentor junior QA, and maintain test reporting and environment configurations on AWS.

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

The Senior Data Analyst will manage data quality and governance for regulatory compliance, build data marts, and optimize data models for performance and scalability. This role includes supporting regulatory exams, establishing monitoring for data feeds, and translating regulatory requirements into data flows.

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 cross-functional fintech initiatives from strategy through delivery within a Scaled Agile environment. Manage scrum ceremonies, dependencies, milestones, risk logs, and GTM implementations. Facilitate requirements and technical design sessions, collaborate with product and engineering, use data and AI-assisted tooling for reporting, and drive alignment across legal, compliance, operations, and sales to ensure timely, high-quality releases and adoption.

Lead and own enterprise identity and access management, administering Okta and Auth0, designing authentication and governance policies, automating workflows via APIs, onboarding SSO clients, supporting AWS identity federation, securing AI/non-human identities, and advising teams on IAM strategy and compliance while mentoring junior engineers.

Lead design and execution of enterprise operational and technology risk for a regulated, global brokerage platform. Build risk taxonomy, appetite, RCSA, control testing, issue and event management, KRIs, resiliency and BCP. Advise product and engineering on new products and markets, aggregate assurance outputs, and deliver Board-level reporting. Build AI-native tooling to automate control testing and evidence collection, hire and develop a risk team, and represent Risk to regulators and auditors.

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.