Lead Full-Stack Engineer

AI Digital; Kentucky; On-site; USD 120,000 - 170,000; Full time

Job summary

AI Digital is seeking a Senior/Lead Full-Stack Engineer to own backend architecture, standards, and production-grade delivery. You’ll bridge product workflows with robust services using Java/Spring Boot and React/TypeScript, shaping an opinionated, observable stack.

You will focus ~70% on backend/architecture/integrations and ~30% on frontend workflows, driving quality and consistency across MVPs and production systems.

Qualifications

• Lead architecture decisions for our Internal Operational Platform and connected tooling.
• Build and maintain full-stack applications (Java/Spring Boot + React/TypeScript).
• Design PostgreSQL schemas and Liquibase migrations, and integrate BigQuery reads and publish layers.
• Champion OpenAPI-first development and typed frontend API clients.
• Own backend observability (Actuator, Prometheus, structured logs).
• Partner with business stakeholders to preserve product intent while raising technical quality.

Responsibilities

• Lead architecture decisions and define engineering standards the team follows.
• Build and maintain full-stack apps with production-ready services and typed APIs.
• Design database schemas and manage migrations; integrate data warehouses.
• Champion OpenAPI-first development and typed API clients for the frontend.
• Own backend observability and instrumentation across services.
• Collaborate with stakeholders to maintain product intent alongside quality.

Skills

Java

Spring Boot

REST APIs

OpenAPI

PostgreSQL

Liquibase

Spring Security

Observability

React

TypeScript

BigQuery

LLM tools

API-driven UI

Maven

Tools

OpenAPI

Actuator

Prometheus

TanStack Query

BigQuery

LLM APIs

Job description

We are looking for a Senior/Lead Full-Stack Engineer with a strong backend and product-integration focus, who will also play a key role in shaping engineering standards and development practices across the team.

This person will take ownership of turning business workflows and early MVPs into reliable, production-ready applications — and will establish the patterns and guidelines others follow, using our agreed engineering stack.

You move comfortably across product UI, backend APIs, database design, integrations, and production readiness — and you take real satisfaction in building not just features, but the foundation others build on.

Work split: ~70% backend/architecture/integrations, ~30% frontend/product workflows. This is not a people management role — impact comes through technical leadership: decisions, standards, and code.

Requirements

• Lead architecture decisions for our Internal Operational Platform and connected tooling, and define the engineering standards and code quality practices the team follows

• Build and maintain full-stack applications (Java/Spring Boot + React/TypeScript), turning vibe-coded MVPs and prototypes into clean, production-ready services with typed APIs, proper auth, persistence, and observability

• Design PostgreSQL schemas and Liquibase migrations, and integrate BigQuery reads and publish layers

• Champion OpenAPI-first development and typed frontend API clients

• Own backend observability (Actuator, Prometheus, structured logs)

• Partner with business stakeholders to preserve product intent while raising technical quality
  

What We're Looking For

• Backend: Java 21, Spring Boot 3.x, REST/OpenAPI contract-first development, PostgreSQL + Liquibase, Spring Security, and observability tooling (Actuator, Prometheus). Bonus if you've defined backend architecture standards, worked in multi-module Maven projects, or integrated legacy systems without rewriting them.

• Frontend: React + TypeScript, API-driven UI, server-state management (e.g. TanStack Query), and a good instinct for loading/error/empty states and practical workflow UIs.

• Data & Integration: Experience with BigQuery or a similar warehouse, and comfort reasoning about versioned data, source-of-truth boundaries, freshness, and cache/fallback behavior. Nice to have: Google APIs (Sheets, Drive, BigQuery), workflow automation tools like n8n.

• AI-Assisted Development: Hands-on experience building with LLM tools and APIs (OpenAI, Claude/Anthropic, Cursor, Replit AI, or similar), and the judgment to evaluate, refactor, and productionize AI-generated code into a clean, maintainable stack.