Fullstack Engineer

Insight Global is hiring a Fullstack engineer for our telecom customer. We are seeking a highly capable, product-minded Full-Stack Engineer to take technical ownership of a new production inventory-planning tool. We want a builder who is passionate about crafting great products and translating complex data into clean, highly functional user interfaces.

In this role, you will leverage modern AI coding assistants to accelerate development-relying on your deep engineering expertise to set the architecture, rigorously review all generated code, and write robust solutions directly. This is a high-velocity, execution-focused position where you will partner closely with the product owner to turn concepts into shipped, production-ready software.

What you’ll do:

• Build Exceptional Products: Translate complex inventory workflows and data sets into intuitive, highly functional user interfaces that solve real business problems.

• Drive Technical Execution: Lead the day-to-day development of features, fixes, and refactors based on the product roadmap, operating efficiently without needing fully exhaustive specifications.

• Own the Architecture: Make the critical technical decisions regarding data modeling, API design, frontend state management, and query performance.

• Accelerate with AI: Utilize tools like Claude Code as a multiplier for your expertise. You are the ultimate gatekeeper-catching edge cases, optimizing logic, and ensuring all AI-generated code meets strict quality and security standards.

• Manage Deployments: Coordinate BigQuery schema and pipeline changes, and manage deployments.

• Provide Strategic Pushback: Act as a true technical partner by flagging risks, highlighting tradeoffs, and advising on the best technical paths forward.

5+ years of full-stack engineering experience: Strong proficiency with Python backends, SQL, and modern JS/TS frontends with a sharp eye for functional UI and user

experience.

• Engineering Fundamentals: Strong Git-based workflow, disciplined code-review practices, and a history of shipping production-grade systems.

• AI-Assisted Development: Real-world production experience accelerating your workflow with AI coding agents (Claude Code, Cursor, Copilot, etc.). You must be

capable of auditing and correcting AI-generated code at a professional engineering bar.

• Cloud & Data Infrastructure: Experience with Google Cloud Platform (GCP), BigQuery, and Service Accounts. - Direct experience building with modern stacks (FastAPI, React, Vite, etc)

• Basic understanding of data science and machine learning principles, particularly as they apply to forecasting, analytics, or inventory systems.

• Familiarity with inventory planning, supply chain, or MRP/DDMRP concepts-or the ability to ramp up on them quickly.

• Experience integrating LLM APIs (Anthropic or OpenAI SDKs) directly into application backends (highly relevant for an upcoming chat-assistant feature).