Engineering Lead, Credit Risk

Kiwi

. Lead the Credit Risk Engineering team, setting technical direction, planning delivery, mentoring engineers, reviewing code, and contributing hands-on to critical work .

Posted 9/30/2026full-timeRemote • Argentina, Dominican Republic, ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams while actively contributing to backend service design and implementation. Proficient in integrating machine learning models into production and enhancing MLOps practices within fintech environments.

Highest-signal resume keywords

Backend Engineering ExperienceTypeScript and Node.js ProficiencyMLOps in ProductionAWS Deployment and ContainerizationSQL and PostgreSQL Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend EngineeringAPI DevelopmentMicroservices ArchitectureMLOps PracticesModel DeploymentVersioningMonitoringRollbackData Quality InvestigationSystem Design

Soft Skills

Technical JudgmentMentoringCollaboration

Tools & Technologies

AWSDockerCI/CD Pipelines

Industry Keywords

FintechCredit RiskData ScienceObservabilityIncident Response

Tech Stack

Tools & technologies

AWSDockerJavaScriptMicroservicesNode.jsPostgresPythonSQLTypeScript

About the role

Key responsibilities & impact

Lead the Credit Risk Engineering team, setting technical direction, planning delivery, mentoring engineers, reviewing code, and contributing hands-on to critical work
Design, build, and operate backend services and APIs integrating risk capabilities into Kiwi's lending products
Improve reliability of credit decision flows across services and external dependencies, including API contracts, latency, timeouts, failure handling, observability, and incident response
Partner with Credit Risk and Data Science to integrate models into production and improve MLOps practices, including deployment automation, versioning, testing, monitoring, and rollback
Improve architecture and maintainability of risk services and integrations while addressing technical debt and delivering new risk capabilities

Requirements

What you’ll need

Experience leading engineers while remaining hands-on with system design, implementation, and production support
Strong backend engineering experience with TypeScript and Node.js, including building and operating APIs and microservices
Experience integrating services into critical customer flows, with a solid understanding of latency, timeouts, partial failures, retries, and observability
Proven hands-on experience with MLOps in production, including model deployment, versioning, monitoring, and rollback
Working knowledge of Python and experience collaborating on systems that serve machine learning models in production
Experience deploying and operating containerized services on AWS, using Docker and CI/CD pipelines
Strong SQL and PostgreSQL skills, including investigating data quality and production issues
Strong technical judgment and the ability to work effectively across Engineering, Credit Risk, and Data Science
English level of at least intermediate
Previous experience working within similar roles
Experience in fintech companies

Benefits

Comp & perks

The opportunity to work on critical financial products with direct impact on customers and business growth
High technical ownership and the opportunity to shape how Kiwi's credit risk technology evolves
Meaningful challenges across backend architecture, production integrations, reliability, and MLOps
An engineering environment where AI is becoming a core part of how we build software
A collaborative multidisciplinary team across Engineering, Credit Risk, Data Science, Product, QA, and Platform
100% remote — Argentina, the Dominican Republic, or Colombia