Job Summary
Senior Engineering Leader responsible for driving scalable technology solutions across cards and payments platforms using containerization messaging data integration and modern Java services. The role oversees hybrid model engineering delivery across Helm Docker Kafka Tanzu K8s and MSB ensuring resilient systems that support secure transactions operational efficiency and continuous improvement in a collaborative environment.
Responsibilities
- Drive end to end engineering execution for cards and payments platforms by planning coordinating and delivering robust solutions using Helm Docker Kafka Tanzu K8s MSB and Java to meet complex business transaction needs.
- Oversee design of microservices and integration patterns in Java that support high throughput card processing and payment workflows while optimizing performance reliability and maintainability for hybrid deployment environments.
- Provide architectural guidance for container based applications using Helm and Docker on Tanzu K8s to ensure consistent configuration efficient resource usage and standardized deployment practices across environments.
- Coordinate implementation of Kafka based event streaming and messaging for payment authorization clearing and settlement processes to improve resilience observability and real time transaction tracking.
- Manage MSBI SSIS admin activities for data extraction transformation and loading from card transaction systems into analytical and reporting platforms ensuring data quality security and timely availability.
- Collaborate with product operations and compliance stakeholders in cards and payments to translate regulatory risk and customer experience requirements into actionable engineering solutions and technical roadmaps.
- Guide teams in implementing observability monitoring and alerting for Java services Kubernetes workloads Kafka clusters and MSBI packages to proactively detect issues and minimize impact on payment processing.
- Ensure secure engineering practices for cardholder data and payment information by driving encryption secure configuration controlled access and adherence to relevant internal standards and industry regulations.
- Optimize hybrid work model collaboration by establishing clear communication routines documentation practices and engineering workflows that maintain productivity across onsite and remote team members.
- Coordinate continuous improvement initiatives such as refactoring performance tuning and platform upgrades across Helm charts Docker images Kafka topics Tanzu K8s clusters and MSBI SSIS solutions to reduce technical debt.
- Mentor senior engineers and architects in applying best practices for distributed systems container orchestration and data integration within the cards and payments domain to strengthen overall engineering capability.
- Align engineering outcomes with company purpose by enabling secure efficient and reliable payments experiences that support customers merchants and financial partners while contributing to broader economic activity.
- Evaluate new tools and patterns related to Kubernetes platforms event streaming and data integration that can enhance scalability resiliency and innovation in the cards and payments technology landscape.
Qualifications
- Demonstrate extensive experience of fifteen to eighteen years in engineering roles delivering complex enterprise systems with significant exposure to transaction intensive financial platforms.
- Possess strong hands on expertise using Helm for configuration management and release orchestration of containerized services deployed on Kubernetes based infrastructure.
- Apply deep practical skills in Docker for building packaging and running secure and efficient application images that support modular and repeatable deployments across environments.
- Show advanced experience implementing and operating Kafka clusters for high volume event streaming and messaging in payment processing authorization and settlement flows.
- Utilize comprehensive knowledge of Tanzu K8s or similar Kubernetes platforms to manage workloads namespaces scaling strategies and cluster configurations for mission critical services.
- Bring proven proficiency in MSBI admin including job scheduling package management performance optimization and troubleshooting for data pipelines related to cards and payments.
- Exhibit strong Java development experience in designing and implementing secure performant and maintainable services that integrate with payment gateways card networks and internal systems.
- Demonstrate deep domain expertise in cards and payments covering transaction lifecycles clearing and settlement fraud and risk considerations and customer experience impacts to guide technical decisions.
- Work effectively in a hybrid model by managing time communication and collaboration tools to maintain productivity and alignment within distributed engineering and stakeholder teams.
- Communicate clearly with cross functional partners including business operations risk and compliance to ensure engineering solutions meet regulatory expectations and service level objectives.
- Adapt to evolving technology and regulatory landscapes in payments by continuously updating skills exploring new approaches and applying learning to improve platforms and processes.
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。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
