Integration QA Engineer

QA EngineerQA EngineerContractRemoteTeam 201-500Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

171 days ago

Salary

Not specified

Bachelor Degree6 yrs expExperience acceptedEnglishAWSCloudSplunkSQL

Job Description

• Design, develop, and maintain test plans, test cases, and automation scripts for system and API integrations • Collaborate closely with product managers, business analysts, developers, and integration engineers to understand business logic, data flows, and edge cases • Define and evolve integration QA standards with emphasis on data quality, resilience, and real-time processing requirements • Execute end-to-end testing of data pipelines and APIs spanning Foxipedia Reltio, Snowflake, MuleSoft, Program Domain and other connected systems • Validate data mapping, transformation logic, and synchronization across internal and third-party platforms • Test failover behavior, timeout handling, and retry logic to ensure system reliability • Build and maintain API test suites using Postman, TestRail, REST Assured, or similar tools • Contribute to CI/CD pipelines to enable automated integration and regression testing • Use logs and monitoring tools (e.g., Splunk, DataDog) to track data movement and debug failures • Log, triage, and track integration defects through resolution and work with engineering teams to isolate root causes and verify fixes • Provide QA sign-off for integration releases and hotfixes, ensuring adherence to SLAs and deployment checklists • Participate in integration design reviews, release planning, and document QA approaches, integration validation steps, and root cause analysis for bugs

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 6-8 years of QA experience with a focus on system, API, or data integration testing
  • Proficient with Postman, Swagger, REST Assured, or similar tools
  • Solid SQL skills for validating data across Snowflake and Reltio
  • Strong understanding of API protocols, request/response flows, and error handling
  • Experience with QA automation and AI tools where needed
  • Familiarity with logs and monitoring tools (Splunk, DataDog)
  • Experience with cloud-native integrations (AWS Lambda, SQS, EventBridge) (preferred)
  • Familiarity with MuleSoft API flows and monitoring tools (preferred)
  • Understanding of token-based authentication (OAuth, SAML) (preferred)
  • Agile/Scrum experience with Jira or equivalent tools (preferred)
  • Exposure to the Entertainment industry or content supply chain platforms (preferred)

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