Job Summary
Test Analyst role for an industrial manufacturing client focusing on validating complex applications and integrations using structured test design and execution. The candidate collaborates with cross functional teams in a hybrid work model to ensure high quality delivery using Azure DevOps and Jira for test planning tracking and defect management in day shift operations without travel requirements.
Responsibilities
- Execute end to end functional and regression testing for industrial manufacturing applications to verify that core business processes such as production planning inventory control and quality tracking perform reliably under varied operational scenarios and data conditions.
- Design detailed test scenarios and test cases based on business requirements and process flows from the manufacturing domain to ensure complete coverage of shop floor operations equipment data capture and production reporting features.
- Use Azure DevOps to create manage and update test plans test suites and work items so that testing activities remain traceable aligned with user stories and clearly linked to requirements and acceptance criteria.
- Utilize Jira to log track and retest defects ensuring comprehensive defect documentation clear reproduction steps business impact notes and timely communication with engineering and product teams.
- Collaborate with business analysts product owners and manufacturing process experts to refine acceptance criteria clarify ambiguous requirements and validate that delivered features match real world plant and factory scenarios.
- Perform data validation on input and output generated by manufacturing systems ensuring accurate recording of production events stock movements equipment parameters and quality metrics across integrated systems.
- Conduct system integration testing between manufacturing execution planning quality and reporting systems to confirm that data flows interfaces and workflows support seamless and reliable production operations.
- Coordinate test execution in a hybrid work model by planning onsite activities for system validation when required and managing remote test cycles to maintain continuity and efficiency in day shift schedules.
- Analyze root causes of defects by reviewing logs process steps and data flows and communicate findings to development teams in a concise manner to support faster resolution and improved application stability.
- Prepare clear test summary reports that highlight test coverage defect trends production risk areas and readiness for deployment so stakeholders can make informed release decisions for manufacturing environments.
- Support user acceptance testing sessions by assisting business users from industrial manufacturing backgrounds in executing scenarios recording outcomes and identifying gaps between expected and actual behavior.
- Contribute to continuous improvement of test practices by suggesting enhancements to test case design defect tracking workflows and automation candidates that best suit manufacturing systems.
- Apply domain knowledge of industrial manufacturing to prioritize high risk areas including production scheduling material handling equipment state transitions and safety related features ensuring these are thoroughly validated.
Required candidate qualifications:
- At least 1 year of experience in software testing; experience in the automotive and/or embedded systems domain is considered a strong advantage.
- Understanding of software testing methodologies, terminology, and practices used throughout the software development lifecycle (SDLC).
- Technical degree in Computer Science, Software Engineering, Electronics, or a related field.
- Experience working with defect tracking and test management tools such as Jira or Azure DevOps.
- Good command of English, both written and spoken.
Additional candidate qualifications:
- SEP Electrical Qualification Certificate (Operation / Exploatation) for working with electrical equipment.
- Category B driving license
- Experience working with or testing EVs and/or DC chargers for EVs
- Familiarity with technologies and standards used in the EV charging industry, such as OCPP, CCS, CHAdeMO, and general industry terminology
- Basic knowledge of Python or another scripting language
Basic knowledge of Robot Framework
The position involves working in the test laboratory in Zabierzów near Kraków. Remote work is possible only to a very limited extent (1-2 days per month, subject to manager approval).
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。
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