Kiwi Financial Inc - Software Engineering Lead
Requirements
• Core Engineering • Core Engineering • 9+ years of software development experience and 5+ years in technical leadership. • Strong experience building and scaling web applications in production environments. • Strong backend development experience and solid frontend development experience. • Experience designing and operating microservice architectures. • Strong understanding of distributed systems and asynchronous communication patterns. • Experience designing APIs and integrating third-party services. • Experience working with relational databases (PostgreSQL preferred). • Experience working with cloud platforms such as AWS. • Ability to balance architecture, scalability, reliability, and delivery speed. • Strong ownership mindset and ability to drive technical decisions. • Preferred: experience in fintech or digital financial products. • AI & Automation • AI & Automation • Hands-on experience building products that leverage LLMs, agents, automation, or AI-powered workflows. • Experience integrating AI capabilities into production applications. • Familiarity with agent orchestration frameworks, tool calling, RAG architectures, or conversational systems. • Understanding of evaluation, observability, and monitoring for AI-powered systems. • Strong ownership mindset. • Ability to balance technical excellence with business needs. • Comfortable working in fast-moving environments. • Strong communication skills in English (fluent).
Responsibilities
• Lead the design and evolution of product architecture across backend, frontend, and AI-powered services. • Contribute directly to the codebase as a hands-on engineer. • Build and scale APIs, microservices, and event-driven systems. • Design solutions that balance performance, reliability, maintainability, and speed of delivery. • Collaborate closely with Product, Design, Data, and Operations teams. • Help define engineering standards and best practices. • Drive the adoption of AI capabilities across products and internal tools. • Support the design and implementation of agent-based systems, automation workflows, and intelligent user experiences. • Mentor engineers and help raise the technical bar across the team.
Benefits
• Direct impact on architecture and product decisions at a company-wide level. • The opportunity to build and scale products used by thousands of customers across lending, payments, risk, customer support, and internal operations. • Real-world challenges around scalability, reliability, performance, and distributed systems. • A highly autonomous environment with significant ownership and decision-making responsibility. • The opportunity to help shape how AI capabilities are integrated into real-world products. • A fast-moving environment where ideas quickly turn into production. • Fully remote (Colombia / Argentina).
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