Full Stack Engineer - ETF Focus

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.

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.

• 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.

• 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.

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

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

• 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.

• 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.

• Your work will be a primary interface for investors—turning complex fund data into clear, usable, and visually polished web experiences.

• Create and implement beautiful, efficient internal tools: fast UIs, clean information architecture, and sensible defaults.

• Collaborate in Figma and carry designs through to high-quality implementation.

• Sweat details: loading/empty states, error handling, permissions, and review/approval flows that feel obvious.

• Have interest in the financial markets, especially ETFs.

• Can own features end-to-end (backend → UI → deployment).

• Are familiarity with SEC EDGAR–related workflows and Inline XBRL (iXBRL) concepts (or ability to ramp fast).

• Have experience building dashboards, charting, reporting UIs, and analytics products (interactive tables, performance charts, exposure breakdowns).

• Have production experience operating systems on major cloud infrastructure (AWS, GCP, or Azure).

• Love turning ambiguous ops problems into clean systems.

• Are comfortable with regulated/controlled environments (auditability matters).

• Write maintainable code fast, and care about correctness.

• Have strong UI judgment and ability to implement clean, fast interfaces.

• Fintech, markets, accounting, or compliance experience.

• Experience with LLM-assisted tooling (retrieval, evals, guardrails, human-in-the-loop review).

• Familiarity with ETFs / fund ops / reporting (you can learn fast if you’re sharp).

• Experience with iXBRL tagging/validation and SEC filing workflows.

• Experience with quantitative trading or systematic investing.

• Real leverage: your tools will compress weeks of work into hours.

• High ownership: you’ll shape the product surface area, architecture, and standards.

• Direct impact: every improvement hits real workflows immediately.

Chicago

Send: (1) a couple sentences on why this is interesting, (2) your resume/GitHub/links, and (3) Demo a project that could help the team on day 1; (automated compliance tool for an ETF issuer, Software to automate N-Port filing, etc.)