Senior SDET — Automation Quality & Test Engineering

SUCCESS® Lending is a growing company focused on transforming the mortgage experience through automation. As a Senior SDET, you will be responsible for building automated test infrastructure to improve the loan lifecycle processes, ensuring compliance and quality in a regulated environment.

Responsibilities:

• Design and own the test automation strategy across the platform: API/integration tests against the LOS (Blue Sage) and broker portal (Kwikie), end-to-end tests for pilot workflows (COC, re-disclosures, Gateless condition clearing), and regression suites that run in CI/CD
• Build test frameworks and tooling other developers actually use — fixtures, synthetic loan files, environment seeding, and contract tests for third-party integrations (Gateless, Cotality, AUS, pricing)
• Develop evaluation harnesses for AI/LLM features: golden datasets, eval suites, regression detection for prompt and model changes, and pass/fail gates on automated underwriting outputs
• Convert today's manual UAT knowledge (Ops and Sales test scripts) into automated coverage, and partner with UAT testers so human inspection focuses where it adds the most value
• Define quality gates for pilot expansion — what must be green before a feature rolls from pilot group to all brokers — and instrument production monitoring to catch escapes early
• Verify compliance-critical behavior: disclosure timing, fee tolerances, audit trails, and data integrity across systems

Requirements:

• 6+ years in software engineering with at least 4 focused on test automation/SDET work; strong coding skills in at least one of TypeScript/JavaScript, Python, Java, or C#
• Proven experience building test frameworks from scratch — API testing (Postman/REST-assured/pytest/supertest), UI/E2E (Playwright or Cypress), and CI/CD integration (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps)
• Experience testing complex, multi-system integrations with third-party services, including mocking, contract testing, and test data management
• Daily, demonstrable use of AI coding tools — see AI-Assisted Development above. This requirement is absolute
• Mortgage technology experience strongly preferred: LOS platforms (Blue Sage, Encompass), broker portals, AUS (DU/LP), disclosure/doc systems, or other regulated fintech where TRID-style timing and tolerance rules apply
• Experience evaluating LLM or ML systems in production — eval frameworks, golden sets, non-deterministic output testing, or model regression gates
• Performance and load testing experience for event-driven/queue-based architectures