Job summary
The GeoSpatial Lead Analyst MAP will design implement and optimize geospatial applications and services using Java Spring Boot or Dot Net and Selenium based automation in a hybrid work model. The role focuses on building robust spatial data solutions ensuring high reliability through automated testing and collaborating with cross functional teams to deliver high quality map based products that support strategic business decisions and societal impact through improved location intelligence.
Responsibilities
Lead end to end design and implementation of geospatial applications that power map based services and spatial analytics ensuring robust performance scalability and maintainability in alignment with enterprise standards.Drive the development of backend services using Java Spring Boot or Dot Net to process and expose spatial data through secure and efficient application programming interfaces that support large scale consumption.Coordinate with product data and infrastructure teams to translate business requirements into clear geospatial solution designs that improve service reliability and enhance decision making for stakeholders.Architect and refine spatial data models and indexing strategies that optimize query performance and accuracy for routing proximity search and advanced spatial analyses.Implement comprehensive automation test suites using Selenium and Java to validate geospatial user interfaces workflows and integration points across environments and releases.Establish rigorous quality gates by defining test strategies coverage metrics and defect management practices that improve release confidence and reduce production incidents.Collaborate closely with mapping and data engineering teams to ingest transform and validate large volumes of geospatial data ensuring consistency completeness and alignment with industry standards.Guide peers on best practices for geospatial application development including coding patterns error handling performance tuning and observability tailored to spatial workloads.Analyze production trends incident data and user feedback to identify opportunities for optimization in geospatial services and implement targeted improvements that enhance user experience.Create and maintain detailed technical documentation for geospatial services automation frameworks and integration patterns to support maintainability reuse and onboarding of new team members.Engage with cross functional partners to ensure geospatial solutions align with organizational priorities and contribute to societal impact through improved transportation planning resource allocation and emergency response support.Support compliance with security privacy and governance standards by embedding secure coding practices and data protection principles into geospatial application and test design.Contribute to continuous improvement by evaluating emerging geospatial technologies and automation tools and recommending adoption strategies that strengthen the mapping platform capability.
Qualifications
Possess nine to thirteen years of hands on experience in enterprise application development with strong proficiency in Java and Spring Boot or Dot Net frameworks applied to complex data driven solutions.Demonstrate solid experience designing and implementing geospatial or map centric applications where spatial data spatial queries or location intelligence form a core part of the product functionality.Show proven capability in building and maintaining automation test frameworks using Selenium and Java including functional regression and integration testing for complex web applications.Apply strong understanding of software engineering fundamentals including design patterns clean code principles version control and continuous integration practices in daily work.Utilize working knowledge of hybrid work models and modern collaboration tools to coordinate effectively with distributed teams and maintain productivity across onsite and remote settings.Exhibit familiarity with spatial data concepts such as projections coordinate systems tiling and spatial indexing along with experience using relevant data stores or geospatial libraries.Display strong analytical and problem solving skills that enable thorough investigation of geospatial defects performance bottlenecks and data quality issues leading to sustainable fixes.Preferably bring exposure to cloud platforms and container based deployments for hosting geospatial services and automation test pipelines in scalable and resilient environments.
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。
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