TL;DR

Senior Staff Software Engineer (Investments): Design, evolve, and execute core investment platforms including custody, offer, order management, accounts, and settlement with an accent on platform extensibility, regulatory compliance, and migration from legacy systems. Focus on leading strategic platform architecture, driving AI integration, and collaborating across business and technical teams in a hybrid work model based in Brazil.

Location: Based in Brazil with hybrid work model in Belo Horizonte, Campinas, Rio de Janeiro, or Sao Paulo

Company

Fintech product company focused on building extensible, agnostic business platforms and advancing AI-first engineering culture.

What you will do

  • Own the technical direction of Investments Platforms covering custody, offer, orders, accounts, settlement, and more.
  • Lead migration strategies from legacy investment systems to modern platforms while ensuring operational continuity and regulatory compliance.
  • Design and implement a disruptive investments architecture rethinking end-to-end investment modeling and operations.
  • Drive AI adoption in engineering and product development within the investments domain.
  • Collaborate closely with other platform teams such as Payments and Banking and product squads consuming Investments Platforms.
  • Operate within a global scope with hybrid work flexibility based in Brazil.

Requirements

  • 12+ years of software engineering experience including 5+ years on large-scale platforms in transactional environments.
  • Proven experience building extensible, multi-tenant, domain-agnostic business platforms.
  • Strong background in distributed systems, event-driven architectures, and platform engineering leadership.
  • Hands-on investments platform expertise and understanding of Brazilian capital markets.
  • Fluency in Portuguese is important; English proficiency is a plus but not mandatory.
  • Experience with AI tools and enthusiasm for AI-first engineering culture.

Culture & Benefits

  • Small, empowered teams with a culture of ownership, learning, and collaboration.
  • Platform-oriented architecture enabling reuse across products and markets.
  • Hybrid-first work model with office presence during the week and periodic onsite collaboration.
  • Focus on pragmatic and safe AI integration in engineering and products.