US Gold Bureau (USGB) is a leader in FinTech, driving innovation in the precious metals industry as part of Lone Star Tangible Assets (LSTA), alongside Texas Bullion Depository. Our Engineering team builds and maintains the technical systems that run the business across every organization — the eCommerce platform, ERP, CRM and marketing automation, business intelligence, telephony, and the integrations that connect them. USGB is invested in representing business workflows as code, moving data cleanly between systems and giving the business and customers trustworthy tools to operate on.

As Principal Engineer, you are the senior technical authority for how we design, build, and evolve software across the organization. You own architecture, code quality, and engineering process, and you stay hands-on — writing and reviewing code, prototyping, and setting the technical standard by example. You are also our AI-first developer, leading how we adopt AI tooling and AI-assisted development across teams. Reporting to and partnering closely with the CTO, you act as the CTO's technical right hand, and you work directly with Product and the development team to solution and scope new work. This is a high-influence individual-contributor role with no direct reports: you set the technical direction and standards that a distributed, global development team executes against, so your leverage comes through architecture, code reviews, clear technical direction, and strong written communication.

The Opportunity

We are preparing to build a new generation of state-of-the-art FinTech systems designed to change the precious metals industry. This is a rare chance to help shape that platform from the ground up — making the foundational architecture, technology, and AI decisions that define what we build and how fast we can move. As Principal Engineer, you will be a key driver of this effort: setting the technical vision alongside the CTO, proving out the hardest pieces in code, and establishing the standards the rest of the organization builds on. If you want your work to have outsized, lasting impact on a company and an industry, this is that role.

We are well ahead of most companies in our adoption of AI — it is already woven into how we work, not a someday initiative. For this role, that means you will spend your time building AI-first solutions on top of a mature foundation, not fighting to get AI onto the roadmap. If working at the frontier of applied AI is what excites you, few places will let you go as far, as fast.

Scope of Ownership

You are expected to understand the full breadth of technology across the organization and to solution using the best-fit stack for each problem. The systems and codebases in scope include, but are not limited to:

•     eCommerce — Adobe Commerce (Magento 2) and the PWA storefront (Pylot), including PHP, GraphQL, and front-end components.

•     Custom applications — Custom in-house applications and services (e.g., the Portfolio Tracker and Buying Program and related internal tools), built primarily in Node.js/TypeScript and Python.

•     Depository management (TxBD) — Our custom depository management system (BDMA) that runs Texas Bullion Depository operations — a business-critical, regulated platform handling sensitive customer data.

•     Integrations — System-to-system integrations built on Workato as the standard middleware/integration platform, orchestrating data flows between eCommerce, ERP, CRM, telephony, and data systems following an ETL pattern.

•     Business systems — HubSpot (CRM), NetSuite (ERP), and marketing automation — the platforms Workato connects and keeps in sync.

•     Data & BI — The Snowflake → ThoughtSpot stack, dbt models, and the ongoing Tableau-to-ThoughtSpot migration.

•     Platform & DevOps — Infrastructure-as-code (Terraform), CI/CD in GitLab and GitHub, cloud services (AWS/GCP), and Datadog for observability.

Duties and Responsibilities

Architecture & Technical Strategy

•     Own the end-to-end architecture of USGB/LSTA systems — define target-state designs, service boundaries, data flows, and integration patterns, and document them so others can build to them.

•     Evaluate build-vs-buy and technology choices, and recommend a single best-fit approach with clear reasoning, trade-offs, and cost/risk implica