
201 - 500 employees
Founded 2018
💳 Fintech
₿ Crypto
🤝 B2B
Fintech • Crypto • B2B
Reap is a fintech company providing borderless, stablecoin-enabled financial infrastructure for businesses. It offers business accounts (Reap Direct), Visa corporate cards with fiat and stablecoin repayment, cross-border payments powered by stablecoins, expense management for multi-currency treasuries, and embedded finance APIs including card issuing and payment APIs to automate global fiat payouts and enable stablecoin-native finance.
🔥 1 minute ago
🌐 Bulgaria, Poland, +4 more countries – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 10%
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201 - 500 employees
Founded 2018
💳 Fintech
₿ Crypto
🤝 B2B
Fintech • Crypto • B2B
Reap is a fintech company providing borderless, stablecoin-enabled financial infrastructure for businesses. It offers business accounts (Reap Direct), Visa corporate cards with fiat and stablecoin repayment, cross-border payments powered by stablecoins, expense management for multi-currency treasuries, and embedded finance APIs including card issuing and payment APIs to automate global fiat payouts and enable stablecoin-native finance.
• Architect, build, and operate Reap’s shared identity layer, including login, session management, and multi-factor authentication • Design secure, reusable APIs and services for engineering teams • Build capabilities to detect and prevent unauthorised access and account takeover • Partner with product and risk stakeholders to translate threats into practical controls • Develop consistent authorisation and access controls with reliable audit trails • Design secure data and traffic routing for jurisdiction-specific requirements • Build reliable infrastructure for security, risk, and transaction alerts • Build and operate services on AWS using CI/CD and infrastructure-as-code • Embed threat modelling, security testing, monitoring, logging, and alerting into delivery • Investigate incidents and address root causes • Own architecture and design reviews and set engineering standards • Mentor engineers while remaining hands-on • Partner with the Knox PM and engineering teams to prioritise risk-reducing and market-enabling work • Provide APIs, defaults, and documentation that make secure adoption easy • Use AI tools responsibly for coding, debugging, testing, and documentation
• 8–10+ years in backend or platform engineering, including hands-on ownership of security-critical services or shared identity and access infrastructure in production • At least 2+ years in a technical leadership role (Tech Lead or Engineering Manager) • Track record of owning architecture decisions, mentoring engineers, and delivering complex projects end to end • Strong understanding of authentication, authorisation, session security, MFA, and access control • Experience implementing OAuth 2.0 and OpenID Connect • Experience applying secure-by-design practices, threat modelling, and least privilege • Preferably Node.js + TypeScript; strong backend engineers using Go, Java, or Python may be considered • Experience building APIs and event-driven/serverless systems • Strong AWS experience, including securing and operating production services • Solid CI/CD and infrastructure-as-code practices • Hands-on experience with relational databases such as AWS Aurora, PostgreSQL, or MySQL • Experience with schema design and ORM frameworks such as TypeORM • Ability to design for sensitive data protection, traceability, and reliable audit trails • Ability to reason about threats, failure modes, and dependencies across services; debug complex issues; and balance security, reliability, developer experience, and delivery speed • Comfortable using AI coding tools such as Cursor, GitHub Copilot, Claude Code, or Codex, with sound judgement about data handling and validation of generated code • Experience with fraud prevention, account takeover protection, data residency, or security platforms in fintech, payments, crypto, or other regulated environments is a plus • Relevant cybersecurity certifications are a plus
• Flexible remote work environment with a global, collaborative team • Use of AI tools at work, with space to learn, experiment, and grow • Culture of innovation, inclusion, and continuous learning
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