Full Stack Engineer - ETF Focus

About the role

About Us

Corgi is building an ETF issuer that moves at software speed. ETFs are one of the most successful financial products ever created — and the tooling behind launching, operating, and reporting for ETFs is still stuck in email chains, PDFs, and manual checklists.

Our goal is simple: turn ETF operations + compliance into software. If you like hard systems problems, messy real-world constraints, and shipping things that immediately matter, you’ll fit right in.

About the Role

You’ll build internal products (and public-facing web surfaces) that make launching and running ETFs faster, more consistent, and more observable. You’ll work close to real workflows: regulatory filings and disclosure updates, approvals and evidence capture, fund accounting interfaces, vendor data, board materials, compliance logs, QA, reporting, and analytics.

This is an end-to-end role: you’ll design workflows, build backend services and data pipelines, ship polished UIs, and run production systems. Our backend demands correctness, traceability, and auditability; our public web presence demands visual polish and high-performance UX.

Skills: Python, TypeScript, SQL, AWS (or equivalent), strong product/ops instincts.

What You’ll Build (examples)

1) Filing Automation + Disclosure QA

- Generate, edit, and QA disclosure content; enforce versioning, approvals, and checklists/redlines.

- Produce SEC EDGAR-ready outputs, including support for Inline XBRL (iXBRL) tagging/validation where applicable.

2) Compliance Workflows

- Codify policies into systems (controls, approvals, escalation paths).

- Build permissioned workflows with evidence capture (what changed, who approved, when, and why).

- Implement change control, audit-ready logs, and review queues aligned with U.S. Securities and Exchange Commission expectations.

3) Data Pipelines + Vendor Integrations

- Ingest holdings/prices/corporate actions/vendor files via SFTP and APIs.

- Reconcile data, surface exceptions, and build monitoring/retry tooling.

4) Automated Fund Presence “source of truth”

- Own the automated “source of truth” for our funds: systems that take vendor/fund-admin data (SFTP/API) and power our public fund pages and internal analytics.

- Build guardrails around data provenance, versioning, and reconciliation so changes are explainable and reviewable.

- Design exception queues and operational tooling so issues are visible, triaged, and resolved quickly.

5) Public Web Surfaces & Investor Analytics

- Develop and scale our web infrastructure for reliability, performance, SEO, and accessibility.

- Build interactive investor tools: performance calculators, comparison tools, and exposure breakdowns that are fast and mobile-responsive.

- Security-first mindset: implement WAFs, secure header management, sensible access controls, and operational monitoring for public web services.