QA Test Engineer

RightEye

RemoteFull-timeMidPosted Recently

SeleniumPlaywrightCypressAppiumPyTestPostmanJenkinsDockerPythonJavaScriptTypeScriptAWS

Best fit for

This role is best for mid-level QA engineers with hands-on experience in Selenium, Playwright, Cypress, Mobile automation (Appium / Espresso / XCUITest) who want a remote role.

Skills you need for this role

Detected from the job title, description, and tags.

Automation skills

Selenium — Still the most-asked browser automation framework in QA interviews and legacy suites.
Playwright — Modern cross-browser automation with auto-waits — increasingly the default at product companies.
Cypress — Popular for front-end teams that own their own end-to-end suite.
Mobile automation (Appium / Espresso / XCUITest) — Required for teams shipping native or hybrid mobile apps.

API / backend testing

REST API testing — Almost every QA role now expects you to validate JSON contracts and status codes.
Postman / Newman — Standard tool for API exploration and shareable collections.
RestAssured — Common Java-first API automation library, often paired with TestNG.

CI/CD and DevOps

Jenkins — Legacy CI still widely deployed — expect pipeline-as-code questions.
GitHub Actions — Default CI for teams on GitHub — YAML workflows and matrix builds.
GitLab CI — Common in enterprise stacks that self-host GitLab.
Docker — Needed to containerise test environments and spin up dependencies.
AWS — Common cloud target for test infra + service integration testing.

Programming languages

Python — Popular for API testing, data validation, and Playwright/Pytest suites.
JavaScript / TypeScript — Required for Playwright, Cypress, and modern front-end test tooling.

Domain & process

Performance testing (JMeter / k6 / LoadRunner) — Different discipline from functional QA — expect scenario and metrics questions.
Test management (Jira / Zephyr / TestRail) — Process fluency — writing test cases, tracing coverage, and reporting defects.
AI in testing — Employers increasingly ask how you use AI copilots to speed up QA work.

Job description

Company Description 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
Light scripting in JavaScript/TypeScript, Bash, or PowerShell for cross-environment automation 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 highlights

•Role: QA Test Engineer
•Company: RightEye
•Location: Remote
•Type: Full-time
•Experience: Mid
•Seniority: Mid
•Posted: Recently

Key skills: Selenium · Playwright · Cypress · Appium · PyTest · Postman · Jenkins · Docker · Python · JavaScript

How to prepare for this interview

A 5-step prep plan tailored to this job's stack.

1Revise Selenium deeply — locator strategy, waits, parallelisation, and how you'd structure the framework from scratch. Selenium interview Q&A →
2Read through the general QA/SDET interview prep guide to refresh core testing concepts. Job Interview Prep →
3Practice API-testing scenarios — auth flows, contract validation, and running collections in CI. API testing Q&A →
4Do at least one AI mock interview end-to-end so you're comfortable narrating your answers under time. AI Mock Interview →
5Run your CV through the ATS review so it clears keyword filters for this role before you apply. Resume ATS Review →