Full-Stack Software Engineer - Compliance
New
O
Ondo FinanceFintech / Blockchain
Remote (US)Full-TimeMiddle
SalaryCompetitive compensation including salary, future token rights, and/or equity, according to your preferences.
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Job Details
- Experience
- 4+ years
- Required Skills
- Node.jsTypeScriptNext.jsReactDistributed Systems
Requirements
- 4+ years of experience building and operating production full-stack applications with React, Next.js, Node.js, and TypeScript.
- Strong fundamentals in API and data-model design, relational databases, distributed systems, cloud infrastructure, testing, observability, and third-party integrations.
- Hands-on experience building KYC/KYB, identity verification, onboarding, or similarly sensitive workflows.
- Strong understanding of access controls, data protection, auditability, and secure system design.
- Record of owning complex product work end to end.
- Ability to translate ambiguous policy into precise system behavior and identify edge cases.
- High standards for security, correctness, reliability, usability, and maintainability.
- Ability to communicate clearly and create alignment across technical, legal, compliance, and operational partners.
- High agency and low ego; ability to surface risk early and prioritize system correctness.
Responsibilities
- Own compliance-focused product areas from problem definition and architecture through implementation, launch, production operation, and iteration.
- Build clear, maintainable interfaces with React, Next.js, and TypeScript, along with the Node.js APIs, data models, workflows, and integrations that make them work.
- Turn complex regulatory and operational requirements into intuitive, testable product behavior for customers and internal users.
- Integrate identity, sanctions, blockchain analytics, fraud, and case-management providers while maintaining strong data quality, privacy, observability, and auditability.
- Design for real-world failure modes, including delayed and reordered vendor events, manual review, partial outages, retries, and conflicting state across systems.
- Work directly with Compliance, Legal, Risk, Operations, Product, Design, and users to understand the domain and make sound product and technical tradeoffs.
- Apply AI and machine learning where they can safely reduce manual work or improve decision support, with appropriate security, human review, explainability, and audit trails.
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