Senior SDET — Automation Quality & Test Engineering

Brief Description

At Kind Lending, our family of diverse and talented Kind Ambassadors are the driving force behind our new approach to the mortgage experience. They're the heart and soul of the organization and our "People Before Profits" mentality shines through in every department. Kind Lending is growing and is looking for top mortgage professionals who value opportunity, lasting business partnerships, and who live out our KIND mindset.

Kind Lending is determined to provide the best service in the industry while also providing home buyers with a great selection of products to enhance their buying experience. Backed by our trusted leadership team, Kind Lending's friendly and professional model puts the “fun” in funding.

Kind Lending is automating the loan lifecycle — re-pricing, re-disclosures, broker-initiated change requests, automated underwriting and condition clearing, CD and closing doc automation. Every one of those features touches a regulated, money-moving workflow, and today they are verified largely by manual UAT from Ops and Sales. As our Senior SDET, you will build the automated test infrastructure that lets pilots expand safely and releases ship faster — including the harder problem of testing AI-driven decisioning, where outputs are non-deterministic and the cost of a wrong answer is a compliance event.

• 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.

• Use AI coding tools daily (e.g., Claude Code, Git Hub Copilot, Cursor, or equivalent) as a core part of your workflow — not as an occasional autocomplete.
• Demonstrate the ability to decompose work into well-structured prompts and agentic tasks, then critically review, test, and harden AI-generated code before it ships.
• Show measurable productivity gains from AI-assisted development (be prepared to walk through real examples in the interview, including a live AI-paired coding exercise).
• Maintain sound judgment about where AI accelerates work and where human review is mandatory, especially in a regulated lending environment.
• Use AI agents to generate, maintain, and triage tests at scale — and build evals that hold AI-generated product code to the same bar as human-written code.

• 6+ years in software engineering with at least 4 focused on test automation/SDET work; strong coding skills in at least one of Type Script/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 (Git Hub Actions, Git Lab CI, Jenkins, or Azure Dev Ops).
• Experience testing…