We are seeking a Senior Software Engineer to help build and scale Tongo’s fintech platform using modern frontend frameworks (Angular, React, Next.js) and Go-based backend services, while leveraging Claude Code AI as a core part of the development workflow.


This role focuses on building secure, scalable, and user-centric systems across web and backend layers, using AI-assisted development to accelerate delivery, improve code quality, and enhance system design. You’ll collaborate closely with product, data, finance, and platform teams to deliver mission-critical functionality for payments, risk, and real-estate financial workflows.


Key Responsibilities

  • Design, build, and maintain backend services in Go and frontend applications using Angular, React, and Next.js.
  • Leverage Claude Code AI (and similar LLM tools) for:

* AI-assisted coding, refactoring, and documentation

* Rapid prototyping and architecture exploration

*Test generation, code reviews, and debugging

  • Build and integrate APIs and services that interact with financial platforms, third-party providers, and internal systems.
  • Develop data-aware services that support reporting, reconciliation, and operational workflows.
  • Implement secure authentication, authorization, and role-based access control patterns.
  • Partner with product and design teams to deliver intuitive, performant user experiences.
  • Contribute to CI/CD pipelines, automated testing, and infrastructure-as-code practices.
  • Apply security, reliability, and compliance best practices in a regulated fintech environment (SOC 2, PCI).
  • Document system architecture, service contracts, and AI-augmented development patterns.
  • Mentor engineers and help define best practices for using AI effectively in software development.


Required Qualifications

  • 5+ years of experience as a Software Engineer working across frontend and/or backend systems.
  • Strong experience with Go for backend services.
  • Hands-on experience with Angular, React, and/or Next.js in production environments.
  • Solid understanding of RESTful APIs, system design, and distributed systems fundamentals.
  • Experience using AI coding assistants (Claude, GPT-based tools, Copilot, etc.) as part ofdaily development.
  • Familiarity with cloud-based environments and modern deployment practices.
  • Understanding of security, data protection, and compliance considerations in regulated systems.


Preferred Skills

  • Experience with AWS (S3, Lambda, ECS, EKS, or similar).
  • Exposure to event-driven architectures or messaging systems.
  • Familiarity with financial APIs, payments, commissions, or banking integrations.
  • Experience working with analytics-backed applications or data-heavy workflows.
  • Optional experience with Python for scripting, automation, or internal tooling.
  • Experience building or contributing to design systems or shared frontend component libraries.
  • Interest in agentic AI tools and workflow automation (n8n, Zapier, internal AI agents).
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