SDET II, tvScientific

Location: San Francisco, CA, US; Remote, US

Department: tvScientific

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

tvScientific is looking for an SDET Engineer for its Web Platform with strong expertise in web and API testing. This role requires a balance of manual testing excellence and automation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.

You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.

What you'll do:

• Own and drive quality for web platform features, spanning UI, APIs, and backend services
• Design and execute manual test cases and exploratory testing for complex web and API workflows
• Conduct thorough regression testing when bugs are resolved
• Build and maintain automated test suites for:
• Validate frontend–backend integration, data consistency, and error handling
• Perform API contract testing, schema validation, and negative/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, including shift-left testing, risk-based testing, and automation strategy
• Identify, document, and track software defects using bug tracking tools like Jira
  
  

What we're looking for:

• Bachelor’s degree in computer science, engineering, a related field or equivalent experience
• 2+ years of experience in QA / 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 (Playwright, Cypress)
• Solid understanding of HTTP, REST and API design principles
• Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
• Experience working in Agile/Scrum environments
• Strong debugging, analytical, and communication skills
• Strategic partnership with stakeholders / Cross-functional collaboration that is high-trust and high-velocity
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
• Nice-to-Haves:
  • Experience testing large-scale, high-traffic web platforms
  • Familiarity with React or modern frontend frameworks
  • Experience with performance, load, or reliability testing for APIs and web applications
  • Exposure to feature flags, experimentation platforms, or observability tools

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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