Quality Engineer for AI Platform & Data

Litehouse; Northern (KY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible paid time off

Professional development support

Remote‑first, distributed team

Ownership of QA function

Job summary

Litehouse is seeking a Quality Engineer to own QA across web, mobile, and APIs in a small team. You will expand automation, keep CI quality gates, and ensure data flows from ingestion to analytics with reliable tests.

You will work with product and engineering from design through release, using Datadog for observability and building tests for AI-assisted code and agents. This hands-on role requires shipping reliable checks, improving failure reporting, and guarding against low-value checks.

Qualifications

• 4+ years of experience in quality engineering, test automation, SDET, or a similar software engineering role.
• Strong TypeScript or Python skills and a commitment to treating test code like production code.
• Solid SQL skills and experience validating data across systems or pipeline stages.
• Experience testing APIs and diagnosing failures across service boundaries; GraphQL experience is a strong plus.
• Experience integrating automated tests into GitHub Actions or another CI/CD platform.
• Hands-on experience using observability to investigate failures and guide test coverage; Datadog experience is strongly preferred.
• Sound judgment about what to automate, what to test manually, and how deeply to test based on risk.
• Clear communication skills and a collaborative approach to improving quality across a team.

Responsibilities

• 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 GitHub 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.

Skills

QA experience

TypeScript/Python

SQL

API testing

CI/CD (GitHub Actions)

Datadog

Risk-based testing

Communication

Tools

Datadog

Job description

Litehouse is seeking a Quality Engineer to own QA across web, mobile, and APIs in a small team. You will expand automation, keep CI quality gates, and ensure data flows from ingestion to analytics with reliable tests.

You will work with product and engineering from design through release, using Datadog for observability and building tests for AI-assisted code and agents. This hands-on role requires shipping reliable checks, improving failure reporting, and guarding against low-value checks.