tvScientific

tvScientific

tvScientific offers a pioneering Connected TV advertising and marketing platform that integrates traditional television's impact with the effectiveness of digital advertising, specifically tailored for performance marketers.

Media
11-50
Founded 2020
$22M raised

Description

  • Own and drive quality for web platform features across the UI, APIs, and backend services.
  • Design and execute manual test cases and exploratory testing for complex web and API workflows.
  • Conduct regression testing when bugs are resolved.
  • Build and maintain automated test suites for web and API coverage.
  • Validate frontend-backend integration, data consistency, and error handling.
  • Perform API contract testing, schema validation, and negative or edge-case testing.
  • Collaborate with engineers during design, implementation, and code reviews to improve testability and catch issues early.
  • Integrate automated tests into CI/CD pipelines to provide fast, reliable feedback.
  • Analyze test failures, investigate root causes, and drive issues to resolution.
  • Advocate for quality best practices such as shift-left testing, risk-based testing, and automation strategy.

Requirements

  • Experience in QA or Quality Engineering with a strong focus on web platforms and APIs.
  • Proven hands-on experience with manual testing of complex, consumer-facing web applications.
  • Strong experience building and maintaining API tests using tools such as Postman, REST-assured, Supertest, or similar.
  • Hands-on experience with web automation frameworks such as Playwright or Cypress.
  • Solid understanding of HTTP, REST, and API design principles.
  • Proficiency in at least one programming or scripting language, such as JavaScript or TypeScript.
  • Experience working in Agile/Scrum environments.
  • Strong debugging, analytical, and communication skills.
  • Experience testing large-scale, high-traffic web platforms is preferred.
  • Familiarity with React or modern frontend frameworks is preferred.
  • Experience with performance, load, or reliability testing for APIs and web applications is preferred.
  • Exposure to feature flags, experimentation platforms, or observability tools is preferred.

Benefits

  • Base salary range of $132,415 to $272,619 USD for US-based applicants.
  • Eligible for equity.
  • Remote-friendly working model with location-based flexibility.
  • No relocation assistance provided for this role.
  • Access to Pinterest culture and benefits for the position.

Interested in this position?

Apply directly on the company website

Apply Now

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