Reap
Reap
201 – 500 Darbuotojai
B2BFintechKriptovaliutos
Reap yra finansinių technologijų įmonė, kurianti pasaulines finansų infrastruktūros paslaugas įmonėms, veikiančioms skirtingomis valiutomis ir įvairiose rinkose. 2018 m. įkurta bendrovė sujungia stabiliosiomis monetomis grindžiamus tarptautinius mokėjimus su verslo sąskaitomis, „Visa“ verslo kortelėmis, kelių valiutų išlaidų valdymu ir integruotųjų finansų API. Jos platforma palaiko pasaulinius mokėjimus fiat valiutomis, kortelių išdavimą, mokėjimų automatizavimą ir iždo valdymo procesus įmonėms, ieškančioms lankstesnių tarptautinių finansų valdymo būdų. Reap veikia finansinių technologijų, kriptovaliutų ir B2B rinkose, o įmonėje dirba 201–500 darbuotojų.

Senior Tech Lead, Security and Identity Platform (Node.js)

Lead hands-on development of authentication, fraud prevention, and access services for Reap’s global stablecoin fintech. Own AWS architecture and backend delivery from Bulgaria within a distributed team.

Aprašymas

  • Design, build, and operate Reap’s shared identity layer, including login, sessions, and multi-factor authentication.
  • Create secure, reusable APIs and services for engineering teams.
  • Develop tools to detect and prevent unauthorised access and account takeover.
  • Work with product and risk stakeholders to turn threats into practical controls.
  • Establish consistent authorisation and access controls with dependable audit trails.
  • Design secure data and traffic routing to meet jurisdiction-specific needs.
  • Build dependable infrastructure for security, risk, and transaction alerts.
  • Operate AWS services using CI/CD and infrastructure as code.
  • Integrate threat modelling, security testing, monitoring, logging, and alerting into delivery.
  • Investigate incidents and resolve their root causes.
  • Lead architecture and design reviews and define engineering standards.
  • Mentor engineers while contributing hands-on.
  • Work with the Knox product manager and engineering teams to prioritise work that reduces risk and supports market access.
  • Provide APIs, defaults, and documentation that simplify secure adoption.
  • Use AI tools responsibly for coding, debugging, testing, and documentation.

Reikalavimai

  • 8–10+ years in backend or platform engineering, including hands-on ownership of production security-critical services or shared identity and access infrastructure.
  • At least 2 years in a technical leadership role, such as Tech Lead or Engineering Manager.
  • Demonstrated ownership of architecture decisions, engineer mentoring, and complex projects delivered end to end.
  • Strong knowledge 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.
  • Node.js and TypeScript are preferred; strong backend engineers working with Go, Java, or Python may also be considered.
  • Experience building APIs and event-driven or serverless systems.
  • Strong AWS experience 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 dependable audit trails.
  • Ability to assess threats, failure modes, and cross-service dependencies; debug complex issues; and balance security, reliability, developer experience, and delivery speed.
  • Comfort using AI coding tools such as Cursor, GitHub Copilot, Claude Code, or Codex, with sound judgement about data handling and generated-code validation.
  • Experience in fraud prevention, account takeover protection, data residency, or security platforms in fintech, payments, crypto, or another regulated sector is a plus.
  • Relevant cybersecurity certifications are a plus.

Privalumai

  • Flexible remote work with a global, collaborative team.
  • Access to AI tools at work, with opportunities to learn, experiment, and grow.
  • A culture that supports innovation, inclusion, and continuous learning.

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