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).
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
