Mid-Level Software Engineer

This role is open to candidates based in LATAM, Africa, and Eastern Europe. Please note that as this role supports U.S.-based clients, candidates must be available to work during U.S. business hours aligned with the client’s time zone.
 
Our client is a fintech SaaS company providing a purpose-built platform for consumer lending. Their technology enables lenders to manage the full loan lifecycle, from origination through servicing and collections, through a sophisticated white-label infrastructure designed for scalability and operational efficiency.

Location
Fully-Remote (Latin America) | 9 AM – 5 PM EST

Role Overview
The Mid-Level Software Engineer will take ownership of features from initial ticket through production deployment while working across a full-stack fintech platform. This role involves building borrower-facing workflows, payment-related functionality, and scalable API services while leveraging AI-assisted development tools to accelerate engineering workflows and delivery.

Key Responsibilities
Feature Ownership & Development
Own features from initial ticket through deployment, ensuring all acceptance criteria are met

Build and maintain functionality related to payments, borrower workflows, and tenant configuration

Work across the full stack to deliver reliable and scalable software solutions

Database & API Management
Write and optimize complex SQL queries using PostgreSQL 16

Build, maintain, and scale RESTful APIs within a multi-tenant SaaS architecture

Ensure strong data integrity, system reliability, and application performance

Cloud Infrastructure & Integrations
Utilize AWS services including EC2, S3, RDS, and Lambda to support platform infrastructure

Support third-party integrations such as Twilio and payment processing systems

Help maintain scalable and reliable cloud-based services

Agile Collaboration
Participate actively in Scrum ceremonies including standups, sprint planning, and retrospectives

Contribute to code quality through Git-based pull request reviews and technical documentation

Collaborate closely with engineering team members in a fast-paced development environment

AI-Assisted Engineering
Incorporate AI coding assistants such as Claude Code or Cursor into daily development workflows

Leverage AI tools to improve development velocity while maintaining code quality and reliability

Qualifications
Experience
3–5 years of professional software engineering experience

Strong experience working with PostgreSQL and writing complex SQL queries

Experience building and maintaining RESTful APIs and SaaS applications

Working knowledge of AWS services including EC2, RDS, and S3

Experience working within Git workflows and pull request review processes

Experience in fintech, lending, or payments environments is a plus

Exposure to Docker, CI/CD pipelines, Infrastructure-as-Code, or automated testing is preferred

Skills
Strong full-stack development and problem-solving capabilities

Excellent understanding of API architecture and database optimization

Strong written and verbal English communication skills

Ability to work independently and manage feature ownership end-to-end

Comfortable working in fast-moving, low-bureaucracy environments

Strong analytical mindset with attention to detail around financial systems and sensitive data

Enthusiastic about AI-assisted development workflows and emerging engineering tools

What Success Looks Like
Consistent delivery of reliable, scalable, and high-quality code within sprint cycles

Strong contribution to the platform’s evolving payment and lending infrastructure

Positive collaboration through thoughtful code reviews and engineering support

Effective use of AI-assisted tools to improve development efficiency without compromising quality

Continued technical growth and ownership across the product lifecycle

Opportunity
This is an exciting opportunity to join a growing fintech platform and contribute directly to the development of scalable lending technology. The Mid-Level Software Engineer will gain exposure to both backend infrastructure and customer-facing functionality while working in a remote-first environment focused on innovation, ownership, and AI-driven engineering workflows.
Application Process:
To be considered for this role these steps need to be followed:
Fill in the application form

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