About the Role
We are looking for a QA Automation Engineer to help ensure quality and reliability across customer data, integration, and marketing activation workflows.
This role focuses on validating end-to-end data flows, platform integrations, and marketing activation processes to help ensure communications are powered by accurate, compliant, and timely data.
Key Responsibilities
· Regression Testing: Execute and manage regression testing for platform releases and marketing communications to help ensure changes do not disrupt customer-facing experiences.
· Marketing Journey & Automation Testing: Validate marketing journeys, automations, triggered communications, and audience-based workflows across channels and brands.
· Customer Data Validation: Test data ingestion, audience segmentation, calculated attributes, and customer profile data to support accurate personalization and campaign targeting.
· Integration Testing: Validate end-to-end data flows across CRM, customer data, marketing, and middleware platforms, including API testing, field mapping verification, and data readiness checks.
· Content & Communication QA: Review customer communications for rendering, personalization, tracking, brand consistency, compliance, and localization across supported markets.
· Test Planning & Documentation: Create and maintain test plans, test cases, QA documentation, and status reporting to support sprint and release activities.
· Automated Testing: Develop and maintain automated test scripts for API testing, regression suites, platform workflows, and key business processes.
· Production Release Support: Support production release activities through smoke testing, peer reviews, validation, and post-deployment monitoring.
· Defect Management: Log, triage, and track defects; collaborate with developers on root cause analysis and resolution; ensure defect fixes are validated before release.
· Platform Release Evaluation: Support discovery and regression testing for major platform releases to proactively identify potential impacts to existing communications, data flows, and integrations.
Required Qualifications
· QA experience in a CRM, marketing technology, customer data, or enterprise platform environment
· Hands-on experience testing email, SMS, or marketing automation platforms, including journeys, triggered sends, audience segmentation, and customer data workflows
· Strong understanding of API testing, integration testing, and validation of data movement across systems
· Experience with test management tools such as X-Ray for Jira, qTest, Zephyr, or similar platforms
- Proficiency in Jira for defect tracking, user story validation, and sprint reporting
· Familiarity with data testing, including SQL queries, data validation, customer profile verification, and calculated fields or attributes
· Knowledge of CI/CD pipelines and release management practices for enterprise platforms
- Solid understanding of Agile/Scrum ceremonies — sprint planning, refinement, daily standups, retrospectives
Preferred Qualifications
· Experience with customer data platforms, audience segmentation, data modeling, or calculated insights
· Familiarity with middleware, API platforms, or integration tools
· Experience with test automation frameworks for CRM, web, API, or enterprise platform testing
· Knowledge of monitoring and observability tools for release validation and production support
- Experience with CRM loyalty programs or hospitality industry communications
· Familiarity with deployment management tools and release testing processes
- Experience with Confluence for technical documentation and solution design reviews
- Salesforce certifications (e.g., Platform App Builder, Marketing Cloud Email Specialist) are a plus
What You'll Work On
· Regression testing aligned to regular platform and product releases
· QA validation for customer data expansion, audience segmentation, and calculated insights
· End-to-end testing of marketing activation strategies across customer engagement channels
· Testing of transactional and lifecycle communications supported by customer profile data
· Platform governance, deliverability, compliance, and security regression testing
Work Environment
· Team: Collaborative, cross-functional technology environment supporting customer data and marketing platforms
· Delivery approach: Agile delivery model with regular sprint planning, refinement, testing, and release support
· Tools: Common QA, collaboration, CRM, customer data, marketing automation, integration, deployment, and monitoring tools
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
