Job Summary
Serve as a senior developer delivering automotive manufacturing solutions that integrate Opcenter Exec Discrete Process and Teamcenter with enterprise systems while ensuring robust verify and validate practices for high quality outcomes in a hybrid work model without travel supporting innovation in the global automotive industry.
Responsibilities
Design and implement high quality manufacturing applications that integrate Opcenter Exec Discrete Process capabilities to streamline core production workflows for automotive clients in a hybrid work setting.Develop reliable and scalable extensions in Teamcenter to manage product data and process information so that engineering and manufacturing teams can collaborate efficiently across the automotive lifecycle.Configure Opcenter Exec Discrete Process rules and objects to support traceability genealogy and compliance for critical automotive parts and assemblies.Apply rigorous verify and validate practices to all implemented features to ensure functional correctness performance efficiency and alignment with automotive regulations and safety expectations.Collaborate with multidisciplinary stakeholders from manufacturing engineering quality and IT to translate automotive industry requirements into detailed technical designs and user friendly solutions.Optimize application logic database interactions and interfaces so that shop floor and engineering users experience responsive and reliable systems during day shifts.Create clear and maintainable technical documentation that describes solution design configuration decisions integration patterns and verify and validate procedures for future reference.Conduct root cause analysis for defects found during verify and validate cycles and production incidents then implement targeted fixes that prevent recurrence and improve system stability.Coordinate with testing teams to define test scenarios and data sets tailored to automotive manufacturing use cases including complex bill of materials routings and process parameters.Provide guidance to peers on best practices for using Opcenter Exec Discrete Process and Teamcenter within the automotive domain to maximize reuse consistency and solution quality.Engage in continuous improvement initiatives by assessing existing implementations and proposing enhancements that increase throughput reduce rework and support sustainable manufacturing goals.Ensure that all developed features and integrations comply with enterprise security standards data integrity expectations and confidential handling of product design information.Communicate progress risks and technical options to project partners in a clear concise manner that supports informed decision making and predictable delivery outcomes.
Qualifications
Possess six to nine years of hands on software development experience with a strong focus on manufacturing execution and product lifecycle solutions in the automotive industry.Demonstrate advanced proficiency in configuring and extending Opcenter Exec Discrete Process modules to address complex automotive production and quality scenarios.Show proven experience working with Teamcenter for product data management workflow configuration and integration with downstream manufacturing systems.Bring solid expertise in automotive verify and validate activities including creation of test strategies execution of functional and integration tests and documentation of results.Exhibit strong understanding of automotive industry processes such as discrete assembly production part approval and change management with practical project exposure.Apply sound knowledge of relational databases scripting or programming languages and integration techniques to build robust and maintainable manufacturing solutions.Display effective communication and collaboration skills that support close work with cross functional automotive teams in a hybrid work environment during day shifts.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
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