Backend Developer, AI

Job not on LinkedIn

🔥 10 minutes ago

🌐 Colombia, Argentina – Remote

🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kiwi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🛡️ Insurance

💼 Consulting

💳 Fintech

💰 $75M Debt Financing on 2023-05

Insurance • Consulting • Fintech

Kiwi is a financial technology company that specializes in providing personal loans and credit-building services. Customers can quickly apply for loans online, with amounts available up to $3,000, without affecting their credit scores. The platform offers a fully digital experience, flexible payment options, and automated payment systems to help users manage their loans easily and securely. Kiwi is committed to protecting user data and reporting payments to credit bureaus to assist clients in building their credit history.

📋 Description

• Design, build, and evolve scalable backend services and APIs using Node.js, TypeScript, and Express.js • Own technical solutions end-to-end from design and implementation through deployment, observability, and production support • Contribute to backend architecture and architectural and technical design decisions • Identify, prioritize, and address technical debt • Apply software design principles and patterns based on context and trade-offs • Design application boundaries and separation of concerns across services, business logic, and persistence layers • Design and optimize PostgreSQL schemas, queries, indexes, migrations, and transactional workflows • Build reliable financial workflows covering idempotency, concurrency, consistency, retries, failure handling, and reconciliation • Design and maintain REST APIs and integrations with internal systems and external providers • Design asynchronous and event-driven workflows • Build reliable, scalable, resilient, secure, and performant systems • Work with AWS infrastructure and cloud services in production systems • Improve production visibility through logging, metrics, tracing, monitoring, and alerting • Investigate production incidents, perform root-cause analysis, and implement sustainable solutions • Maintain engineering quality through automated testing, code reviews, documentation, and continuous refactoring • Use AI-assisted engineering tools for development, testing, debugging, code review, and productivity • Challenge technical decisions and improve engineering standards • Share knowledge and strengthen the engineering team’s technical capabilities • Collaborate with Product, QA, Data, Platform, and engineering teams to translate business requirements into technical solutions

🎯 Requirements

• 8+ years of professional backend engineering experience, with significant experience building and operating production systems • Strong hands-on experience with Node.js and TypeScript in production environments • Experience with Express.js or comparable backend frameworks • Experience with Python and familiarity with backend frameworks such as FastAPI, Django, or similar is highly valued • Strong knowledge of software architecture, design principles, and design patterns, including their trade-offs and appropriate use cases • Strong understanding of relational databases and PostgreSQL, including data modeling, transactions, indexing, query optimization, migrations, and performance • Experience working with ORMs and persistence patterns, understanding both their benefits and limitations • Strong understanding of API design, authentication, authorization, versioning, security, and third-party integrations • Experience designing systems for failure scenarios, including retries, duplicate events, partial failures, race conditions, and external-service degradation • Solid understanding of distributed systems and asynchronous processing • Experience with automated testing at different levels, including unit, integration, and end-to-end testing • Production experience with AWS or comparable cloud infrastructure • Experience with CI/CD, containers, and modern software delivery practices • Strong understanding of observability and production troubleshooting • Ability to analyze architectural alternatives, identify trade-offs, and clearly explain technical decisions • Strong ownership, problem-solving, and communication skills • Ability to work autonomously on complex technical problems while collaborating effectively with the broader team • Experience in fintech, payments, lending, banking, or other highly transactional environments is nice to have • Experience building systems where financial correctness and data integrity are critical is nice to have • Experience with event-driven architectures, queues, messaging systems, and asynchronous processing is nice to have • Experience with AWS services such as Lambda, ECS/EKS, SQS, SNS, EventBridge, RDS, S3, and CloudWatch is nice to have • Experience with Infrastructure as Code, such as Terraform or CloudFormation, is nice to have • Experience with high-volume transactional systems and distributed architectures is nice to have • Experience implementing idempotency, outbox patterns, concurrency control, reconciliation processes, and fault-tolerant workflows is nice to have • Experience with observability platforms such as Datadog, Sentry, or similar tools is nice to have • Familiarity with DDD, Clean Architecture, Hexagonal Architecture, or similar architectural approaches is nice to have • Experience using modern AI coding assistants, agents, and AI-native development workflows is nice to have • Familiarity with LLMs, tool calling, MCP, agentic workflows, or AI integrations is a plus

🏖️ Benefits

• The opportunity to work on critical financial products with direct impact on customers and business growth • High technical ownership and the opportunity to influence how the backend platform evolves • Meaningful architecture, scalability, reliability, and technical-debt challenges • An engineering environment where AI is becoming a core part of how we build software • A collaborative multidisciplinary team across Engineering, Product, Design, QA, Data, and Platform • 100% remote work