WHAT YOU'LL WORK ON

Core Technical Work

• Write Python-based AWS Lambda functions that extract data from Fullbay's API, stage it in S3, and load it into a SQL Server database
• Use AWS S3 for intermediate data storage, event triggers, and passing payloads between Lambda functions and other services
• Build and maintain Google Apps Script automations that connect Google Workspace (Gmail, Calendar, Chat) to operational data — alerts, lookups, reports, and triggered workflows
• Design and query SQL Server views and stored procedures to surface workflow anomalies, technician performance patterns, and exception conditions
• Build lightweight notification and alerting systems (Google Chat webhooks, email triggers, SMS) fired by data conditions in the pipeline
• Integrate with HubSpot CRM via API for syncing customer and workflow data across systems

AI-Assisted Development (Claude / Anthropic)

• Work within an AI-augmented development workflow — the owner uses Claude extensively and expects you to as well
• Help design prompts and data structures for Claude-powered tools that interpret operational data
• Assist in building and extending MCP (Model Context Protocol) server connectors that give Claude direct access to Iron Buffalo's database and business systems
• Contribute to a growing internal toolset that uses AI to analyze data from multiple systems simultaneously and generate actionable reports

Project Examples (Actual Work We've Built)

• Automated cross-referencing of Fullbay work orders with Google Calendar appointments to flag scheduling discrepancies
• Staff workflow monitoring: comparing Fullbay activity timestamps against Google Chat messages and email to identify performance outliers
• HubSpot pipeline sync: pulling customer vehicle and service history from Fullbay and surfacing it in HubSpot contact records
• Notification systems that alert management via Google Chat when specific operational conditions are met (idle WOs, missed milestones, etc.)

WHAT WE'RE LOOKING FOR

Required

• Solid Python proficiency — this is the primary language for Lambda functions and data pipeline work
• Google Apps Script experience — you've connected Workspace tools to external data or built triggered automations
• Comfort working with REST APIs — reading docs, writing calls, handling auth (OAuth, API keys), parsing responses
• SQL fluency — writing queries, joins, stored procedures; SQL Server experience a strong plus
• AWS experience: Lambda is the core, S3 familiarity expected; other AWS services a bonus
• Autonomous, self-directed work style — you can take a loosely defined problem and figure it out
• Strong written communication; you're working with an owner who thinks technically and moves fast

Preferred

• Experience with AI/LLM integrations — Claude, OpenAI, or similar; prompt engineering a plus
• Familiarity with MCP (Model Context Protocol) servers or willingness to learn the architecture
• HubSpot API experience
• Background in operations software integrations (Fullbay, ServiceMax, Mitchell 1, or similar shop management tools)
• Based near Commerce City / Denver metro — the ability to occasionally visit the shop adds real context
• You've worked in or around small businesses before and understand that practical > perfect

WHY THIS ROLE IS DIFFERENT

• The owner is a former software engineer — no translating, no fighting for technical decisions, no explaining what an API is
• Projects are small, scoped, and fast — most ship in days or weeks, not months
• Real AI-first workflow — Claude is not a buzzword here; it's an active part of the development environment
• You'll have direct line of sight to business impact: when your code runs, real operational problems get caught and fixed
• Flexible hours — work when you work best, just deliver
• Opportunity to grow with the engagement as Iron Buffalo expands to a third location

Pay: $30.00 - $60.00 per hour

Benefits:

• Flexible schedule

Work Location: In person