Reap
Reap
201 – 500 Darbinieki
B2BFintechKriptovalūtas
Reap ir finanšu tehnoloģiju uzņēmums, kas veido pārrobežu finanšu infrastruktūru uzņēmumiem, kuri darbojas dažādās valūtās un tirgos. Uzņēmums dibināts 2018. gadā, un tas apvieno ar stabilajām kriptovalūtām nodrošinātus pārrobežu maksājumus ar uzņēmumu kontiem, Visa korporatīvajām kartēm, daudzvalūtu izdevumu pārvaldību un iegulto finanšu pakalpojumu API. Tā platforma atbalsta globālus fiat valūtu pārskaitījumus, karšu izsniegšanu, maksājumu automatizāciju un kases pārvaldības procesus uzņēmumiem, kas meklē elastīgākus veidus starptautisko finanšu pārvaldībai. Reap darbojas finanšu tehnoloģiju, kriptovalūtu un B2B tirgos, un uzņēmumā strādā 201–500 darbinieku.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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