About the role
As a Senior QA Automation Lead with SAP Data Validation (Gold Client, Alteryx), you will make an impact by defining and driving quality engineering strategy and automation for complex industrial manufacturing and production control solutions. You will be a valued member of the quality engineering team and work collaboratively with product owners, architects, developers, and manufacturing stakeholders to ensure safe, compliant, and high-performing enterprise applications.
In this role, you will:
· Define and implement end-to-end quality engineering strategies to improve test coverage, reliability, and performance across manufacturing and control systems
· Design and build scalable automated test frameworks using JavaScript and Playwright, integrated with Azure DevOps pipelines for continuous delivery
· Establish quality gates and CI/CD controls to ensure only production-ready builds progress across environments
· Lead test planning, execution, and defect management for functional, regression, and integration testing across complex workflows
· Collaborate with cross-functional stakeholders to align quality objectives with business needs, safety requirements, and production continuity
Work model
At Cognizant, we strive to provide flexibility wherever possible and support a healthy work-life balance through our wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in St. Paul, Minnesota.
The working arrangements for this role are accurate as of the date of posting and may change based on business and client requirements.
What you need to have to be considered
· Strong experience in quality engineering and test automation using JavaScript and Playwright
· Hands-on experience with Azure DevOps CI/CD pipelines and test integration
· Working knowledge of SAP (table structures, master vs transactional data, and environment flows such as QA/UAT)
· Experience with test management and automation tools such as qTest, Jira, Tosca, and NeoLoad (setup, administration, and integration)
· Experience in data validation and transformation tools (e.g., Alteryx, data scrambling tools like Gold Client)
· Understanding of access provisioning and ITSM processes (AD groups, SAP/tool access, SLA-driven incident management)
· Strong analytical skills to interpret defect trends, production incidents, and test outcomes to improve quality
These will help you stand out
· Experience within industrial manufacturing or production planning domains
· Familiarity with GitHub Copilot for accelerating automation development and improving code quality
· Exposure to Power BI dashboards, reporting, and data validation troubleshooting
· Experience performing non-functional testing (performance, reliability, usability)
· Proven ability to mentor and guide QA teams on automation best practices and modern engineering tools
Salary and Other Compensation
The annual salary for this position is between $71,100 to $112,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
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。
