Quality Engineer
Listed on 2026-08-17
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Software Development
Software Testing
Company Overview
Litehouse is a district operating system that brings clarity, coordination, and intelligence to how smart venues and mixed-use districts operate. It's an AI-enabled technology platform that creates a single coordinating layer above a district's existing systems to make them collectively intelligent.
Litehouse was originally incubated within the H&S Ventures portfolio. It was built by operators who have been through the full complexity of what it takes to bring a full-scale multi-use district to life — the technical architecture, the organizational design, the governance debates, the moments where the ambition of the project collides with the reality of execution. That lived experience didn't just inform Litehouse, it led to its creation.
The company is evolving from incubation into a scalable, market-ready platform, with a strong emphasis on platform architecture, operational rigor, and customer-driven innovation.
Quality at Litehouse goes beyond checking screens before a release. It means our operator-facing web app works as expected, GraphQL and service APIs return the right data to the right tenant, and ticketing, POS, and engagement records flow accurately into analytics and digests. We are looking for a Quality Engineer who asks what could go wrong and builds practical, repeatable ways to catch it early across development, staging, and production.
This is a hands-on engineering role and the first dedicated quality seat on a small team. Engineers already care about quality, but ownership of the practice, automation, and release confidence sits with this role. You will not start from zero. You will take the automation and release checks we already have, make them reliable, and expand them where risk is highest.
You will write test code, keep CI quality gates useful, investigate failures in Datadog, and work with product and engineering from design through release. We already use Claude Code and Cursor in day-to-day development. Part of this job is building the checks and harnesses that keep low-quality or unverified work, from people or AI tools, out of the product.
What you’ll do- Own hands-on QA across web, mobile, APIs, and integrations, including exploratory, functional, regression, and release testing
- Build and maintain reliable test automation and reusable infrastructure, including fixtures, test data, mocks, and environment setup
- Add meaningful quality gates to Git Hub Actions so the team receives fast, useful feedback before changes are merged
- Keep the test suite healthy by investigating flaky tests, improving failure reporting, and removing low-value checks
- Validate data from source ingestion through transformation, storage, and APIs, with automated checks for schema drift, missing or duplicated records, incorrect transformations, and anomalies
- Test permissions and multi-tenant isolation so roles only see what they should, and one organization's data never leaks into another
- Help make promotion across environments safer by checking that migrations, seeds, config, and critical journeys stay aligned from development through staging and production
- Work with engineers and product partners to make requirements testable and identify risk before development begins
- Use Datadog logs, traces, real user monitoring, dashboards, and alerts to investigate failures and turn production signals into regression coverage
- Design repeatable test harnesses for coding agents such as Claude Code and Cursor, with controlled environments, seeded data, clear assertions, appropriate tool permissions, and observable results
- Evaluate AI-generated code and tests for correctness, coverage, and maintainability, and build regression suites for agent workflows
- Give the team clear, actionable feedback on defects and risks, and help engineers strengthen quality in their everyday work
- 4+ years of experience in quality engineering, test automation, SDET, or a similar software engineering role
- Strong Type Script or Python skills and a commitment to treating test code like production code
- Experience building browser automation with Playwright, Cypress, Puppeteer, Selenium, or a similar…
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