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Monks

SDET Testing Engineer Lead - (Talent Pool / Future Opportunities)

Monks
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about 4 hours ago
Bogotá, ColombiaSenior / Staff+
H1B Sponsor

Responsibilities

  • Own acceptance testing, functional validation, regression coverage, and release-quality decisions for human- and AI-generated code.
  • Define clear acceptance criteria and quality standards in partnership with clients, product teams, and engineers.
  • Design, implement, and maintain automated test suites and frameworks across web, API, and end-to-end workflows.
  • Integrate automated testing into CI/CD pipelines and agentic development workflows.
  • Review and validate code quality, system behavior, and production readiness.
  • Identify edge cases and failure modes that may be overlooked during development.
  • Investigate test and production failures, determine root causes, and drive issues through resolution.
  • Shift quality practices upstream to help engineers and AI agents produce more reliable work.
  • Communicate quality risks, expected behavior, and release recommendations clearly to technical and non-technical stakeholders.
  • Contribute to the evolution of testing and evaluation frameworks for AI-assisted software delivery.

Requirements

  • 8+ years of experience in SDET, quality assurance, or test automation, including ownership of test strategy.
  • Strong programming skills in TypeScript, JavaScript, and/or Python.
  • Proficiency with modern testing frameworks such as Playwright, Cypress, Vitest, Jest, or pytest.
  • Demonstrated experience defining acceptance criteria and performing functional validation beyond unit-level CI checks.
  • Experience designing and maintaining automated tests for web, API, and end-to-end workflows.
  • Strong understanding of CI/CD tooling, pipelines, and quality-gating practices.
  • Ability to review, challenge, and gate work produced by both engineers and AI coding agents.
  • Strong systems thinking, with the ability to assess both implementation quality and functional correctness.
  • A skeptical, investigative approach to identifying edge cases, hidden assumptions, and failure modes.
  • Strong English communication skills and the ability to define expected behavior for clients, engineers, and AI agents.

Tech Stack

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