Remote AI‑Augmented QA Engineer (Exploratory & API)

Strategic Staffing Solutions

Buenos Aires

Remote

ARS 69,125,000 - 112,328,000

Full time

3 days ago
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Benefits offered by this job

Company-provided Apple laptop

Job summary

ID90 Travel seeks a curious, proactive Semi‑Senior QA Software Engineer with strong exploratory testing and hands‑on AI‑assisted Quality Engineering. Initial focus on the Hotels product, testing features, business scenarios, and integrations; may extend to Frontend Engineering and automation with growth in knowledge and experience.

The role emphasizes testing techniques over labeling work as manual or automated, with opportunities to expand automation and AI‑assisted improvements across teams.

Qualifications

  • 5+ years in Software QA, including hands-on functional and exploratory testing of web applications.
  • Practical API testing experience and understanding of HTTP/REST.
  • Ability to diagnose and reproduce defects using developer tools and logs.
  • Hands-on use of generative AI in testing or technical tasks.
  • Proficient English communication, written and spoken.

Responsibilities

  • Design and execute functional, exploratory, integration, and regression tests for web and mobile apps.
  • Collaborate with Product and Engineering to clarify requirements and acceptance criteria.
  • Test REST APIs and backend behavior; investigate issues using developer tools and API responses.
  • Participate in cross-team end-to-end testing and validate before full frontend integration.

Skills

QA testing
API testing
AI in testing
English communication
Automation testing

Tools

Postman
Playwright
Cypress
Jira
CI/CD tools

Job description

ID90 Travel seeks a curious, proactive Semi‑Senior QA Software Engineer with strong exploratory testing and hands‑on AI‑assisted Quality Engineering. Initial focus on the Hotels product, testing features, business scenarios, and integrations; may extend to Frontend Engineering and automation with growth in knowledge and experience.

The role emphasizes testing techniques over labeling work as manual or automated, with opportunities to expand automation and AI‑assisted improvements across teams.

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