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# Software Engineer, Business Systems & Integrations

- **Company:** Rockwell House PBC
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $75,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Cloudfront, Amazon S3, Asana, Bash Shell, Business Systems, Software as a Service, Relational Databases, Software Debugging, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Microsoft Message Queuing, Shopify, Software Engineering, SQL Databases, Systems Integration, Trello, Large Language Models, Claude Code, Zapier, AWS Lambda, AI Coding Agents, Agentic-AI, Git, Amazon Relational Database Service, Script Language, Codebase, Graphql, Api Gateway, Restful APIs, Code Restructuring, Data Pipelines, Api Management, Docker
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/16_d1f3810a2

## About the Role

We're looking for an engineer who enjoys working at the intersection of software, operations, and business process. You should be comfortable with ambiguity, good at translating messy real-world workflows into maintainable systems, and confident making thoughtful judgment calls when there isn't a perfect answer. You'll work closely with non-technical stakeholders, so strong communication and documentation matter as much as the code itself.

We value autonomy, practical engineering, clear ownership, and systems that keep working long after they ship., * 2+ years of professional software development experience using Python

 * Working knowledge of JavaScript, SQL, Bash, and GraphQL
 * Experience designing, consuming, or debugging REST APIs
 * Familiarity with AWS Lambda and ECS
 * Experience working with relational databases
 * Comfortable debugging production systems
 * Comfortable reading and improving an existing codebase
 * Experience using Git in a collaborative development environment
 * Strong written communication and documentation skills
 * Comfortable proactively working with non-technical stakeholders to clarify needs, manage expectations, and make decisions
 * Experience using Claude Code, Codex, or similar AI coding agents as a core part of your development workflow

## Description

As a Business Systems Engineer, you will help build and operate the systems that connect our e-commerce, inventory, sales, client care, production, and gemology workflows. You'll work on supplier data pipelines, Shopify integrations, pricing logic, internal tools, event-driven automations, and AI-assisted workflows that support teams across the company.

Some of the systems you'll help build and maintain include:

 * Production services that import, validate, and synchronize inventory from dozens of suppliers
 * Shopify integrations and order orchestration services
 * Internal tools used across Sales, Client Care, Production, and Gemology
 * Pricing services and application-level business rules that drive our catalog
 * Event-driven workflows running on AWS
 * AI-assisted automation and internal tooling
 * Monitoring and operational tooling that keeps the platform healthy
 * API integrations connecting SaaS platforms, internal databases, and production workflows, * You're comfortable with ambiguity. Business problems rarely arrive as complete requirements, and you're excited to untangle them.
 * You enjoy making thoughtful judgment calls. There usually isn't one "correct" solution-just tradeoffs.
 * You're technology-agnostic. Whether the right answer is Python, SQL, an AWS Lambda, an automation, or changing the business process itself, your goal is solving the problem well.
 * You believe documentation is part of engineering.
 * You get satisfaction from building systems that quietly do their jobs for years., You should already be using Claude Code, Codex, or similar coding agents as a core part of your development workflow-not simply as autocomplete. We expect engineers to delegate implementation, investigation, refactoring, testing, and documentation to AI agents, critically review their output, and know when to trust them and when not to.
Nice to Have

 * Docker
 * AWS SQS, DynamoDB, RDS, S3, API Gateway, CloudFront, or IAM
 * Shopify APIs
 * High-volume API integrations, synchronization services, or import processes
 * Monday.com, Make.com, Trello, Zapier, or similar workflow platforms
 * Google Apps Script
 * Google Sheets automation
 * Monitoring, alerting, or operational tooling
 * E-commerce, inventory, manufacturing, or retail operations systems
 * Experience integrating LLMs into production workflows