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GeoSpatial Lead DotNet

00068814701



Job summary

Drive complex GeoSpatial solutions as a DotNet specialist within a hybrid work model applying deep experience in Critical Manufacturing MES MES validation and manual testing to build resilient manufacturing systems. Collaborate with global stakeholders to deliver secure reliable and scalable platforms that enhance operational efficiency and support sustainable industrial outcomes.


Responsibilities

  • Lead design and development of GeoSpatial applications using DotNet technologies to support advanced manufacturing and operational visibility across multiple facilities.
  • Drive end to end implementation of Critical Manufacturing MES features by translating functional requirements into robust and maintainable software components.
  • Coordinate with product owners and domain experts to refine user stories and ensure GeoSpatial and MES capabilities align with strategic manufacturing objectives.
  • Perform structured MES validation activities by preparing detailed test scenarios that confirm compliance with internal quality standards and external regulations.
  • Conduct comprehensive manual testing for MES and GeoSpatial modules by executing test cases documenting defects and verifying timely resolutions with developers.
  • Optimize application performance by profiling critical DotNet services and implementing improvements that reduce latency and increase system reliability.
  • Collaborate with database and infrastructure teams to design secure data flows that integrate shop floor systems GeoSpatial data sources and enterprise platforms.
  • Prepare and maintain clear technical documentation including solution designs configuration guides and test evidence to support audits and knowledge sharing.
  • Provide timely production support for MES and GeoSpatial solutions by analyzing incidents identifying root causes and implementing permanent corrective actions.
  • Guide peers on best practices for coding configuration management and testing to promote consistent quality across all GeoSpatial and MES deliverables.
  • Engage with cross functional stakeholders to present solution options clarify technical constraints and gather feedback that improves user experience.
  • Contribute to continuous improvement initiatives by suggesting automation opportunities in validation and testing workflows to shorten release cycles.
  • Align daily work with the company mission by delivering solutions that improve manufacturing efficiency reduce waste and support safer working environments.
  • Adapt to rotational shifts to ensure reliable support coverage for critical manufacturing operations across time zones without requiring business travel.

  • Qualifications

  • Apply eight to twelve years of professional experience in enterprise application development with a strong focus on DotNet technologies for industrial or manufacturing environments.
  • Demonstrate hands on expertise in Critical Manufacturing MES configuration customization and integration activities that enable stable and scalable production processes.
  • Exhibit deep practical experience in MES validation by designing risk based test approaches that satisfy regulatory expectations and internal quality frameworks.
  • Show advanced skills in manual testing techniques including test design execution defect tracking and regression coverage across complex MES and GeoSpatial solutions.
  • Utilize working knowledge of GeoSpatial concepts such as spatial data models mapping services and location based analytics to enrich manufacturing insights.
  • Leverage experience in hybrid working models by using collaboration tools and structured communication practices to coordinate effectively with distributed teams.
  • Apply strong analytical and problem solving skills to investigate production issues interpret logs and metrics and define clear remediation steps.
  • Communicate clearly with technical and nontechnical stakeholders by explaining design decisions risks and tradeoffs in straightforward and respectful language.
  • Use familiarity with agile development practices by participating in backlog refinement sprint planning reviews and retrospectives to deliver incremental value.
  • Exhibit awareness of security data privacy and quality considerations in manufacturing systems to ensure that solutions remain compliant and trustworthy.

  • 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。

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