QA Test Engineer

HarmonEyes is the world's only open, AI-powered eye-tracking platform that identifies and predicts a person's cognitive, emotional, and physical state based on eye movements alone. Compatible with any camera-based device, HarmonEyes provides a one-stop shop to analyze eye-tracking data, develop models, and deploy solutions to applications at scale with the Theia™ SDK. Backed by 60+ years of eye-tracking experience and born from the largest validated eye-tracking database (14 million unique records), HarmonEyes is used by the world's leading organizations in technology, aviation/automotive, healthcare, and elite performance in military and sports. Job Description What You’ll Do QA & Testing: Design, execute, and maintain manual and automated tests for the Theia™ SDK, internal data platform, and web tooling. Write clear test plans and reproducible bug reports. Test Automation: Build and extend automated test suites (unit, integration, E2E, API, regression) using Python-based frameworks. Integrate tests into CI so failures surface early. Scripts & Internal Automations: Write scripts that take repetitive work off the team's plate—data wrangling utilities, log/report scrapers, environment setup helpers, release checklists, and small internal tools. Jira & Project Hygiene: Own Jira workflows, ticket grooming, dashboards, and reporting. Keep boards clean, link defects to root cause, and help the team operate with predictable sprint cadence. AI Dev Automations: Help build and maintain our AI-assisted development tooling—agent workflows, prompt libraries, automated PR reviewers, evaluation harnesses, and configurations that make the rest of engineering faster. Quality Advocacy: Partner with engineering, data science, and product to shift quality left—reviewing specs, contributing to design discussions, and championing testability. Qualifications What We’re Looking For Required 1–3+ years of professional QA, test engineering, or related software experience (internships, bootcamps, or strong personal projects considered) Working proficiency in Python—comfortable writing scripts, simple modules, and test code Hands‑on experience with at least one automated testing framework (e.g., PyTest, unittest, Selenium, Playwright, Cypress, Appium) Solid grasp of QA fundamentals: test plans, test cases, regression, exploratory testing, and bug lifecycle Experience with Jira (or similar) and version control with Git/GitHub Strong written communication, attention to detail, and an ownership mindset on the issues you find Highly Desirable API testing experience (Postman, REST‑assured, requests, or similar) and comfort reading OpenAPI/Swagger specs Familiarity with CI/CD systems (GitHub Actions, Jenkins, GitLab CI) and Docker Hands‑on experience with AI dev tools and a feel for prompt engineering, evals, and agent workflows Exposure to cloud platforms (AWS preferred: EC2, S3, Lambda, CloudWatch) Experience testing SDKs, real‑time systems, or cross‑platform clients (mobile, desktop, VR/AR) Background with signal processing, time‑series, or biosensor / eye‑tracking data—or a strong curiosity to learn it Additional Information Why Join Us Remote role with room to grow into automation, tooling, and AI-engineering work—not a pure manual‑QA seat Direct exposure to a novel technical stack: real‑time eye‑tracking, ML pipelines, SDKs, and VR/AR integrations Tight feedback loop with senior engineering and leadership—the work you ship is felt across the company How to Apply This position reports into the engineering team. We're looking for someone who pairs solid QA fundamentals with curiosity for automation and AI-assisted workflows. With your submission please attach: Your resume GitHub profile, portfolio, or links to relevant work (test suites, scripts, automations welcome) A short note on a bug you’re proud of finding—or an automation/script that saved you or your team meaningful time Job Location #J-18808-Ljbffr