QA Test Engineer

Summary

RightEye is the world's only open, AI-powered eye-tracking platform that provides solutions to analyze eye-tracking data. They are seeking a QA Test Engineer to design and maintain tests for their Theia™ SDK and internal data platform, while also advocating for quality across engineering and product teams.

Responsibilities

• Design, execute, and maintain manual and automated tests for the Theia™ SDK, internal data platform, and web tooling
• Build and extend automated test suites (unit, integration, E2E, API, regression) using Python-based frameworks
• 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
• Own Jira workflows, ticket grooming, dashboards, and reporting
• 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
• Partner with engineering, data science, and product to shift quality left—reviewing specs, contributing to design discussions, and championing testability

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• 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