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Senior QA Engineer
| Company | Integral Ad Science |
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| Location | New York, NY, USA |
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| Salary | $88900 – $152400 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of experience in backend or API-focused quality engineering roles.
- Strong SQL skills and experience validating large-scale datasets and backend systems.
- Experience testing RESTful APIs and microservices (gRPC a plus).
- Hands-on experience with manual testing techniques and test case development.
- Familiarity with API testing tools (e.g., Postman, REST Assured, Karate).
- Working knowledge of API contract testing tools (e.g., Pact, OpenAPI validators).
- Strong understanding of HTTP protocols, headers, status codes, and payload validation.
- Proficiency in at least one programming language such as Python or JavaScript for writing automation and tools.
- A collaborative mindset with excellent communication skills to work across product, engineering, and QA teams.
Responsibilities
- Test backend data APIs and validate service-to-service data flows with a strong emphasis on SQL-driven validations.
- Design and implement scalable, automated test suites for RESTful APIs over time.
- Lead the creation and execution of manual test plans that capture edge cases and simulate real-world usage.
- Collaborate with Product Managers to deeply understand user flows and define test cases aligned with business requirements.
- Join engineering teams early in the development lifecycle to co-author feature stories and ensure quality is embedded from the start.
- Develop strategies for API contract testing, performance benchmarking, and error handling.
- Build and maintain tools to streamline testing, improve reliability, and reduce manual QA effort over time.
- Analyze API logs and traces to diagnose and debug complex system issues.
- Lead E2E testing effort for the Consumer Platform including testing UI workflows, APIs and Data Platform.
- Set the foundation for quality engineering practices at IAS, helping to define and promote QA standards and best practices.
Preferred Qualifications
- Experience in the ad tech, data, or analytics space.
- Familiarity with data backend platforms and large-scale data pipelines.
- Knowledge of performance and load testing tools (e.g., JMeter, Gatling, k6).
- Experience with API gateways, mocking, and service virtualization.
- Exposure to event-driven architectures (e.g., Kafka, Pub/Sub).
- Strong understanding of authentication and authorization protocols (e.g., OAuth2, JWT).
