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Backend Developer

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: Valid8 Financial, Inc.
Full Time position
Listed on 2025-12-02
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Job Description & How to Apply Below

Today marks the beginning of something new - Welcome to Zartico!

If you thrive on solving complex problems and are excited to help shape the future through innovation, you’re in the right place.

Here at Zartico, we believe work doesn’t improve by chance - it gets better through intention, action, and growth. You’re not just joining a team - you’re joining a movement.

So let’s get started. After all, you didn’t come this far just to stop here.

Zartico is looking for a motivated and enthusiastic Backend Developer to join our team! As a Developer, you will be responsible for supporting our software development team in all aspects of the development, testing and implementation of our product. This role requires someone who thrives in an AI-augmented development environment and leverages cutting‑edge AI tools to maximize productivity and code quality.

What

You’ll Do Backend Development (Primary Focus)

Design, develop, and maintain highly efficient, scalable, and secure backend services using Python and FastAPI

Lead the architecture and implementation of RESTful APIs with comprehensive documentation using Swagger/OpenAPI

Design and optimize database schemas using SQL Alchemy and Postgre

SQL to support scalable and performant microservices

Build spatial data services using GeoAlchemy2 and PostGIS for geographic and mapping features

Implement async patterns and optimize database queries for high-performance applications

Build and document microservices with well‑defined interfaces

Integrate with Google Cloud Platform services (Cloud SQL, Secret Manager, IAM, Cloud Run)

Implement secure authentication and authorization using Okta and JWT

Build and optimize containerized applications using Docker

Design and implement data pipelines and integrations with Airflow DAGs

Frontend Development (Secondary)

Develop responsive user interfaces using React 19 and Type Script

Build components with modern frameworks including Material-UI, Tailwind

CSS, and Headless UI

Implement mapping and geospatial visualizations using Leaflet and Turf.js

Ensure type safety and code quality with Type Script strict mode

Write clean, maintainable code following ESLint and Prettier standards

Code Quality & Collaboration

Conduct detailed code reviews and thorough pull request approvals

Write comprehensive unit tests using pytest and pytest-asyncio

Implement automated testing and CI/CD pipelines using Git Hub Actions

Maintain codebase quality through refactoring and optimization

Work closely with Product, Data Engineering, and Data Science teams to enrich product functionality

Team mentorship and leadership

Advisory on new technologies and methodologies

AI-Augmented Development: A Core Competency

This is not optional. We expect our developers to be power users of AI coding assistants and to continuously push the boundaries of AI-augmented development. You should be as comfortable directing AI agents as you are writing code yourself.

What We’re Looking For

Expertise with AI Coding Assistants

Extensive hands‑on experience with Claude (including Projects, Artifacts, and extended thinking), Git Hub Copilot, Cursor, Devin, or similar AI coding tools

Ability to choose the right AI tool for the task at hand

Understanding of when to use AI assistance vs. when to code manually

Track record of significantly increased productivity through AI augmentation

Understanding AI Capabilities & Limitations

Deep familiarity with modern LLMs (Claude 3.5 Sonnet, GPT-4, etc.) and their capabilities

Understanding of context windows, token limits, and how to work within them

Knowledge of different AI models and when to use each (coding-specialized vs. general purpose)

Awareness of AI limitations and ability to verify and validate AI-generated code

Advanced Prompting & Planning

Ability to break down complex tasks into AI‑manageable chunks

Strategic planning: knowing which parts of a problem to tackle with AI first

Effective use of examples, constraints, and desired output formats in prompts

Multi‑step problem decomposition and sequential prompting

Context Management

Mastery of context management techniques for large codebases

Creating and maintaining comprehensive documentation for AI agents (AGENTS.md,…

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