FULL STACK DEVELOPER

TOGA Technology•Naperville, IL

6d•$75,000 - $75,000•Onsite

About The Position

TOGA Technology is looking for a Full Stack Developer to help build and grow our platform of business applications. This is a full stack role for someone who wants real ownership of features, not just tickets, and who is excited to help shape how a growing platform gets built. This role requires genuine comfort working alongside AI coding tools. Producing code is no longer the hard part: knowing when AI generated code is subtly wrong, and having the discipline to verify rather than assume, is what separates a strong developer from a risky one. We are looking for someone who pairs real technical skill with intellectual humility, comfortable saying, “I don’t know, let me check,” yet confident enough to push back when something doesn’t look right. You will take real ownership of features, and over time, whole applications, with meaningful autonomy.

Requirements

Minimum of 3 years of professional experience in full stack or web application development
Bachelor's degree in Computer Science, Engineering, or a related technical field
Expertise in PHP; or experience with Java or similar languages
Proficiency in AWS; or familiarity with Azure or Google Cloud
Ability to write clean, maintainable, and efficient code
Experience contributing to both front-end and back-end development tasks
Strong understanding of RESTful API design and integration
Knowledge of OAuth, JWT, and other authentication/authorization protocols
Experience working with and building automated job systems, such as workers, cron jobs, or cloud-native schedulers
Familiarity with secure coding practices and basic performance tuning
Willingness to participate in code reviews and team discussions
Ability to test, debug, and deploy code across staging and production environments
Clear written and verbal communication
Real, hands-on production experience using AI coding tools (Claude Code strongly preferred)
Comfortable reading AI generated code closely enough to catch subtle bugs, bad assumptions, or hallucinated logic before it ships
Skilled at writing clear, well-scoped prompts that give AI tools the right architectural context, and at critically evaluating what comes back rather than accepting it at face value
4-year degree in Computer Science or related technical field
Experience collaborating with teams to deliver production-grade web applications
Exposure to high-volume systems and API-driven applications
Familiarity with Agile methodologies and version control workflows
Track record of owning a feature or project end-to-end with minimal oversight
Practical experience integrating AI coding tools (Claude Code, Cursor, Copilot, or similar) into a real production workflow
Proficient in PHP (Java is also acceptable), JavaScript, and relational databases (preferably MySQL)
Comfortable with HTML, CSS, and responsive design principles
Understanding of RESTful API design and consumption
Working knowledge of AWS infrastructure and deployment practices
Experience using Git for version control and collaboration
Daily, practical fluency with Claude Code or a comparable agentic AI coding tool in a real codebase
Strong prompt-writing and prompt-reading skills: giving AI tools precise context and constraints, then critically reviewing what they return

Nice To Haves

Exposure to front-end frameworks such as React (preferred), Angular, or Vue
Prior work in client services, B2B platforms, or enterprise environments
AJAX
JSON
Linux CLI
MVC framework methodologies
Agile
Other AI/LLM coding tools (Cursor, Copilot, etc.)
Multi-application platform architecture

Responsibilities

Take real ownership of features, and over time, whole applications, with meaningful autonomy.
Work alongside AI coding tools, verifying AI-generated code for subtle errors, bad assumptions, or hallucinated logic before it ships.
Write clear, well-scoped prompts for AI coding tools, providing the right architectural context.
Critically evaluate AI-generated code and output.
Write clean, maintainable, and efficient code.
Contribute to both front-end and back-end development tasks.
Design and integrate RESTful APIs.
Work with and build automated job systems, such as workers, cron jobs, or cloud-native schedulers.
Apply secure coding practices and perform basic performance tuning.
Participate in code reviews and team discussions.
Test, debug, and deploy code across staging and production environments.
Collaborate with teams to deliver production-grade web applications.
Integrate AI coding tools (Claude Code, Cursor, Copilot, or similar) into a real production workflow.
Own a feature or project end-to-end with minimal oversight.