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# Full Stack Developer (PHP, Python)

- **Company:** Open Data Watch, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon Elastic Compute Cloud, Amazon S3, HTML5, Cascading Style Sheets (CSS), Relational Databases, Programming Tools, Web Development, Django Web Framework, Python (Programming Language), Laravel, PostgreSQL, MySQL, Model View Controller (MVC), Query Optimization, OpenAI, Blockchain, Responsive Web Design, Web Application Security, Web Applications, Web Application Frameworks, Data Processing, Apache Yarn, ReactJS, Flask (Web Framework), Large Language Models, Prompt Engineering, Caching, Git, Vue.js, Amazon Relational Database Service, Integration Tests, Information Technology, Data Management, Web3.js, Route53, Api Design, Es2015, Software Version Control
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bffbe6dc89f3b6d9

## About the Role

* 4+ years of professional full-stack development experience with PHP/Laravel and Python
 * Bachelor's Degree in Computer Science or related field
 * Expert-level PHP and Laravel: MVC architecture and Eloquent ORM
 * HTML5, CSS3, and modern JavaScript (ES6+), with at least one front-end framework (React or Vue.js)
 * Python for scripting, automation, and web development (Django or Flask)
 * Relational databases (MySQL, PostgreSQL) and query optimization for web applications
 * AWS deployment experience: EC2, RDS, S3, CloudFront, and Route 53
 * Git-based version control and modern tooling (Composer, npm/yarn)
 * HTTP, web security principles, API design, and responsive design
 * Clear writing and speaking for both technical and non-technical readers: documenting decisions, writing for client stakeholders, presenting your own work, * Large language model (LLM) API integration (OpenAI, Anthropic) and prompt engineering
 * Blockchain and smart-contract integration (Web3)
 * A portfolio of shipped full-stack projects
 * Federal information technology experience
 * Familiarity with AI-assisted developer tooling, You build the whole feature, not just your half, and you care whether it holds up under real traffic. When something breaks, you can trace it across the interface, the data, and the deployment, and fix it wherever it actually lives. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.

## Description

Your first project will likely have you building full-stack features in PHP and Laravel, with Python alongside. Depending on the assignment, you may:

 * Build features end to end: Laravel on the back end, React or Vue on the front, and REST application programming interfaces (APIs) into third-party systems. These applications carry heavy concurrent traffic, and you write unit and integration tests for what you ship.
 * Deploy and run it on Amazon Web Services (AWS). You write the Python automation behind it and the caching that keeps it fast as traffic grows., * Production PHP and Laravel, with the architectural judgment to keep an application responsive as concurrent users grow.
 * Modern HTML, CSS, and JavaScript, with React or Vue, to build responsive interfaces.
 * Relational data models and query optimization for web applications, in MySQL or PostgreSQL.
 * Python for the data processing and automation that support the application.
 * Practical delivery on AWS using EC2, RDS, S3, and CloudFront, including the caching and loading strategies that keep a growing application fast.

You adapt your development workflow as AI tools evolve, using them to help implement, test, and improve the components you own. You give the tools clear context, review and test their output, and remain accountable for the code you deliver., Be prepared to discuss a difficult problem you worked through, the decisions you made, what happened, and what you learned. The technical assessment is a live Python coding exercise., You will work alongside developers, engineers, data scientists, architects, and strategists, on work ranging from strategy to implementation. We support your development across assignments and clients through extensive onboarding, sponsored professional certifications such as the Data Management Capability Assessment Model (DCAM) and AWS technical certifications, and rotation across functions to expand your skills and perspective. The mission is real, the problems are hard, and you own what you ship.