Valid8 Financial, Inc.
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 SQLAlchemy and PostgreSQL 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 TypeScript
Build components with modern frameworks including Material-UI, TailwindCSS, and Headless UI
Implement mapping and geospatial visualizations using Leaflet and Turf.js
Ensure type safety and code quality with TypeScript 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 GitHub 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), GitHub 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, CLAUDE.md style)
Effective use of MCP (Model Context Protocol) servers and filesystem tools
Understanding how to structure information for optimal AI comprehension
Ability to provide relevant code snippets, schemas, and architecture overviews to AI
Development Workflow
Integration of AI tools into daily development workflow
Using AI for code generation, refactoring, debugging, and documentation
Leveraging AI for test generation and test‑driven development
Using AI to explore unfamiliar codebases or technologies
Prompt templates and reusable patterns for common tasks
Documentation for AI Agents
Creating technical documentation that serves both humans and AI agents
Writing comprehensive AGENTS.md files that help AI understand project architecture
Documenting patterns, conventions, and gotchas for AI assistance
Maintaining up‑to‑date context files as projects evolve
What Success Looks Like You ship features faster without sacrificing quality
Your code reviews include insights about effective AI collaboration
You help teammates improve their AI augmentation skills
You contribute to team standards for AI‑assisted development
You identify opportunities for AI to solve problems we haven’t considered
What You’ll Bring Experience & Skills At least 7 years of experience in backend development and microservices architectures
Expert knowledge of Python, FastAPI, Pydantic, and Uvicorn
Proven track record of productivity gains through AI‑augmented development
Strong understanding of both SQL (PostgreSQL) and NoSQL database systems
Deep expertise in SQLAlchemy (both sync and async patterns)
Experience with spatial databases and GeoAlchemy2/PostGIS
Proven experience with RESTful API design, implementation, and documentation
Deep understanding of API security, authentication, and authorization (OAuth, JWT, Okta)
Experience with Google Cloud Platform (Cloud SQL, Secret Manager, Cloud Run, IAM)
Proficiency with Docker and containerization
Experience with database migrations using Alembic
Strong knowledge of async/await patterns in Python
Knowledge of Kubernetes and orchestration technologies is a plus
Experience with CI/CD tools (GitHub Actions, Jenkins, CircleCI)
Expertise in Git/GitHub workflows
Experience with testing frameworks (pytest, pytest‑asyncio, pytest‑mock)
Proficiency with API documentation and testing tools (Swagger/OpenAPI, Postman, Apidog)
Code quality tools: black, isort, flake8, ESLint, Prettier
Excellent verbal and written communication skills
Highly developed attention to detail
Excellent problem‑solving skills with a strong analytical mindset
Ability to lead and educate less senior members
Ability to work in a fast‑paced environment and adapt to changing priorities
Education and Certifications Bachelor’s degree in computer science, information technology, or related field
Google Cloud Certification or similar cloud certifications
Relevant AI/ML certifications or demonstrable expertise with AI coding tools (portfolio of AI‑augmented projects)
Location:
Zartico is a remote‑first company with headquarters in Salt Lake City, Utah. This role is open to candidates located anywhere in the continental United States
Applicants must be currently authorized to work in the United States on a full‑time basis. Zartico is unable to provide Visa sponsorship at this time.
Why Zartico?
Zartico is an emerging marketing technology company that applies advanced data science and proprietary technology to deliver innovative marketing performance solutions to the travel and entertainment industries. By transforming complex data into actionable insights, Zartico illuminates the hidden patterns of people and places, empowering marketers to identify and engage their ideal customers at the optimal time, optimize marketing tactics to maximize effectiveness and efficiency, and communicate real‑world impact.
#J-18808-Ljbffr
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 SQLAlchemy and PostgreSQL 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 TypeScript
Build components with modern frameworks including Material-UI, TailwindCSS, and Headless UI
Implement mapping and geospatial visualizations using Leaflet and Turf.js
Ensure type safety and code quality with TypeScript 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 GitHub 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), GitHub 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, CLAUDE.md style)
Effective use of MCP (Model Context Protocol) servers and filesystem tools
Understanding how to structure information for optimal AI comprehension
Ability to provide relevant code snippets, schemas, and architecture overviews to AI
Development Workflow
Integration of AI tools into daily development workflow
Using AI for code generation, refactoring, debugging, and documentation
Leveraging AI for test generation and test‑driven development
Using AI to explore unfamiliar codebases or technologies
Prompt templates and reusable patterns for common tasks
Documentation for AI Agents
Creating technical documentation that serves both humans and AI agents
Writing comprehensive AGENTS.md files that help AI understand project architecture
Documenting patterns, conventions, and gotchas for AI assistance
Maintaining up‑to‑date context files as projects evolve
What Success Looks Like You ship features faster without sacrificing quality
Your code reviews include insights about effective AI collaboration
You help teammates improve their AI augmentation skills
You contribute to team standards for AI‑assisted development
You identify opportunities for AI to solve problems we haven’t considered
What You’ll Bring Experience & Skills At least 7 years of experience in backend development and microservices architectures
Expert knowledge of Python, FastAPI, Pydantic, and Uvicorn
Proven track record of productivity gains through AI‑augmented development
Strong understanding of both SQL (PostgreSQL) and NoSQL database systems
Deep expertise in SQLAlchemy (both sync and async patterns)
Experience with spatial databases and GeoAlchemy2/PostGIS
Proven experience with RESTful API design, implementation, and documentation
Deep understanding of API security, authentication, and authorization (OAuth, JWT, Okta)
Experience with Google Cloud Platform (Cloud SQL, Secret Manager, Cloud Run, IAM)
Proficiency with Docker and containerization
Experience with database migrations using Alembic
Strong knowledge of async/await patterns in Python
Knowledge of Kubernetes and orchestration technologies is a plus
Experience with CI/CD tools (GitHub Actions, Jenkins, CircleCI)
Expertise in Git/GitHub workflows
Experience with testing frameworks (pytest, pytest‑asyncio, pytest‑mock)
Proficiency with API documentation and testing tools (Swagger/OpenAPI, Postman, Apidog)
Code quality tools: black, isort, flake8, ESLint, Prettier
Excellent verbal and written communication skills
Highly developed attention to detail
Excellent problem‑solving skills with a strong analytical mindset
Ability to lead and educate less senior members
Ability to work in a fast‑paced environment and adapt to changing priorities
Education and Certifications Bachelor’s degree in computer science, information technology, or related field
Google Cloud Certification or similar cloud certifications
Relevant AI/ML certifications or demonstrable expertise with AI coding tools (portfolio of AI‑augmented projects)
Location:
Zartico is a remote‑first company with headquarters in Salt Lake City, Utah. This role is open to candidates located anywhere in the continental United States
Applicants must be currently authorized to work in the United States on a full‑time basis. Zartico is unable to provide Visa sponsorship at this time.
Why Zartico?
Zartico is an emerging marketing technology company that applies advanced data science and proprietary technology to deliver innovative marketing performance solutions to the travel and entertainment industries. By transforming complex data into actionable insights, Zartico illuminates the hidden patterns of people and places, empowering marketers to identify and engage their ideal customers at the optimal time, optimize marketing tactics to maximize effectiveness and efficiency, and communicate real‑world impact.
#J-18808-Ljbffr