Job Summary
This hybrid role is for a senior full stack engineer with eight to twelve years of experience who will design build and optimize automated insight solutions using artificial intelligence across card and payment platforms. The role focuses on secure scalable applications that turn complex data into meaningful actions while aligning to enterprise engineering standards and improving customer outcomes.
Responsibilities
- Design and implement scalable full stack applications that deliver automated insights from complex data sets and provide responsive experiences for card and payment users.
- Develop robust backend services that orchestrate data pipelines apply artificial intelligence models and expose secure interfaces for insight driven features.
- Build intuitive and accessible frontend interfaces that visualize automated insights clearly and enable users to act quickly on data driven recommendations.
- Optimize application performance by tuning queries refactoring services and improving client side interactions to support low latency insight delivery.
- Collaborate with data science teams to productionize artificial intelligence models and translate analytical outputs into reliable full stack solutions.
- Create reusable components and shared libraries that standardize automated insight capabilities across multiple products and business lines.
- Implement secure coding practices and compliance controls tailored to payment data so that automated insight features protect sensitive information.
- Integrate systems with card and payment gateways or related services to ensure automated insights are grounded in accurate and timely transaction data.
- Develop automated tests and continuous integration workflows that validate artificial intelligence pipelines and full stack functionality end to end.
- Monitor production environments using observability tools and address incidents proactively so that automated insight services remain highly available.
- Document system designs technical decisions and operational runbooks so that engineering teams can maintain and extend automated insight solutions efficiently.
- Mentor colleagues by sharing best practices in full stack engineering and artificial intelligence integration to uplift overall team capability and delivery quality.
- Align work with organisational goals by prioritising features that improve customer trust financial inclusion and responsible use of artificial intelligence in payment experiences.
Qualifications
- Showcase eight to twelve years of full stack engineering experience with strong proficiency in building secure and scalable web applications end to end.
- Demonstrate hands on experience implementing automated insight solutions using artificial intelligence or machine learning techniques integrated into production systems.
- Exhibit proficiency with modern frontend frameworks and backend technologies along with solid understanding of relational or nonrelational databases.
- Display familiarity with card and payment domain concepts such as transaction flows authorisation processes and risk controls even if experience is limited.
- Apply working knowledge of secure coding standards data privacy requirements and regulatory expectations relevant to financial technology applications.
- Utilise experience with continuous integration tools automated testing frameworks and version control to maintain high quality release cycles.
- Communicate effectively with cross functional partners including product design and data experts to translate requirements into implemented features.
- Adapt quickly to evolving artificial intelligence tools and frameworks by engaging in continuous learning and experimentation in a structured manner.
Certifications Required
Recommended certifications include a cloud associate level credential and an artificial intelligence or machine learning engineering certification.
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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