Business Systems Engineer (Remote) (Mumbai)

Business Systems Engineer (Remote) (Mumbai)

20 Oct
|
Frank Darling
|
Mumbai

20 Oct

Frank Darling

Mumbai

Business Systems Engineer : Location: Remote Compensation: $2000 USD / month

Frank Darling designs custom engagement rings, and our software platform makes the operational complexity of that business work at scale.

A single diamond can be available from a supplier, listed on our website, shown to a client, reserved for an appointment, priced into a ring, or routed into production—and every system needs to agree on what is true. Our goal is to keep inventory, pricing, orders, and internal workflows accurate, reliable, and easy for teams to use.

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.

What You’ll Do : 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 :

- Inventory pipelines importing hundreds of thousands of records from dozens of suppliers
- Shopify integrations and order orchestration
- Internal tools used across Sales, Client Care, Production, and Gemology




- Pricing engines and 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
- Data integrations between SaaS platforms, internal systems, and production workflows

You’ll spend as much time understanding the business as you do writing code.

How You’ll Know You’ll Like This Job : This role is probably a good fit if :

- You enjoy turning conversations into software.
- You ask “why? ” before you ask “how? ”
- 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.

What Makes Someone Successful Here : Required :

- 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 cooperative 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

AI-Assisted Development : AI isn’t an optional productivity tool here. It’s part of how we build software.

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
- ETL or large-scale data integration pipelines - 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

How We Work : We trust engineers to make decisions.

You’ll work directly with the people running the business, ask questions, propose alternatives, and choose solutions that balance simplicity, reliability, and long-term maintainability. We value good judgment over rigid process, thoughtful tradeoffs over cleverness, and documentation over tribal knowledge.

**You’ll have a great deal of autonomy, but you won’t be wor

📌 Business Systems Engineer (Remote) (Mumbai)
🏢 Frank Darling
📍 Mumbai

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