Frank Darling - We're Hiring! logo
Frank Darling - We're Hiring!
Posted 72 days agoVerified live 1d ago

Business Systems Engineer

Brief overview

Remote
$75k–$85k/yrStated range
2+ yrsMinimum
PythonJavaScriptSQLBashGraphQLREST APIsAWS LambdaAWS ECSRelational databasesGitClaude CodeCodex

About the company

Frank Darling - We're Hiring! logo
Frank Darling - We're Hiring!frankdarling.com

Founded in 2017, Frank Darling is a New York–based fine jewelry brand known for distinctive bridal design and custom engagement rings. With ten U.S.

Job description

Summary

Frank Darling designs custom engagement rings, and their software platform makes the operational complexity of that business work at scale. The Business Systems Engineer will help build and operate systems that connect various workflows, ensuring accuracy and reliability across inventory, pricing, and orders.

Responsibilities

  • Help build and operate the systems that connect our e-commerce, inventory, sales, client care, production, and gemology workflows
  • Work on supplier data pipelines, Shopify integrations, pricing logic, internal tools, event-driven automations, and AI-assisted workflows that support teams across the company
  • Build and maintain inventory pipelines importing hundreds of thousands of records from dozens of suppliers
  • Build and maintain Shopify integrations and order orchestration
  • Build and maintain internal tools used across Sales, Client Care, Production, and Gemology
  • Build and maintain pricing engines and business rules that drive our catalog
  • Build and maintain event-driven workflows running on AWS
  • Build and maintain AI-assisted automation and internal tooling
  • Build and maintain monitoring and operational tooling that keeps the platform healthy
  • Build and maintain data integrations between SaaS platforms, internal systems, and production workflows

Skills

  • 2+ years writing production 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 working directly with non-technical stakeholders
  • Experience using Claude Code, Codex, or similar AI coding agents as a core part of your development workflow
  • Docker
  • AWS SQS, DynamoDB, RDS, S3, API Gateway, CloudFront, or IAM
  • Shopify APIs
  • ETL or large-scale data integration pipelines
  • 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

Qualifications

Must Haves

  • 2+ years writing production 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 working directly with non-technical stakeholders
  • Experience using Claude Code, Codex, or similar AI coding agents as a core part of your development workflow

Nice to Haves

  • Docker
  • AWS SQS, DynamoDB, RDS, S3, API Gateway, CloudFront, or IAM
  • Shopify APIs
  • ETL or large-scale data integration pipelines
  • 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

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