RightEye
Computer Software
QATestEngineer
“QA Test Engineer at RightEye. Skills: QA & Testing, Test Automation, Scripts & Internal Automations, AI Dev Automations. 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.”
Industry & Context.
Write scripts that take repetitive work off the team's plate; link defects to root cause
What They're Looking For.
Must Have
1–3+ years of professional QA, test engineering, or related software experience, Working proficiency in Python, 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, written communication, attention to detail, an ownership mindset on the issues you find
Nice to Have
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 curiosity to learn it, Light scripting in JavaScript/TypeScript, Bash, or PowerShell for cross-environment automation
What You'll Do.
and maintain manual and automated tests for the Theia™ SDK
internal data platform
Write clear test plans and reproducible bug reports.
Build and extend automated test suites (unit
regression) using Python-based frameworks.
Integrate tests into CI so failures surface early.
Write scripts that take repetitive work off the team's plate—data wrangling utilities
environment setup helpers
and small internal tools.
link defects to root cause
and help the team operate with predictable sprint cadence.
Help build and maintain our AI-assisted development tooling—agent workflows
automated PR reviewers
and configurations that make the rest of engineering faster.
Partner with engineering
and product to shift quality left—reviewing specs
contributing to design discussions
and championing testability.
How You'll Work.
Team & Collaboration
Partner with engineering, data science, and product to shift quality left; Reviewing specs; Contributing to design discussions; Championing testability; Tight feedback loop with senior engineering and leadership
Communication Scope
written communication
Process & Methodology
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.
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