Job summary
This role is for a Team Member with strong hands on experience in Kafka AWS and Java contributing to design development and operation of resilient event driven applications. The role involves building secure scalable services supporting production stability and collaborating with cross functional teams in a work from office day shift model.
Responsibilities
- Design build and maintain Java based microservices that process high volume events reliably on Kafka clusters to support core business functions
- Develop efficient Kafka producers and consumers with robust serialization patterns to ensure consistent data integrity across distributed systems
- Implement resilient event driven workflows using Kafka streams or similar components to enable scalable near real time processing for critical applications
- Optimize Kafka topics partitions and consumer group configurations to improve throughput latency and fault tolerance for business transactions
- Configure deploy and monitor services on AWS using compute storage and networking capabilities to ensure secure and stable application hosting
- Create and maintain infrastructure automation scripts using AWS tooling to streamline deployments and reduce manual configuration effort
- Implement observability practices including logging metrics and tracing for Java and Kafka workloads to support rapid troubleshooting and performance tuning
- Collaborate with product quality and operations teams to refine requirements plan releases and ensure timely delivery of secure and maintainable solutions
- Apply secure coding and data protection practices across Java Kafka and AWS components to safeguard information and support regulatory compliance
- Conduct code reviews and provide constructive feedback to improve code quality test coverage and adherence to engineering standards within the team
- Troubleshoot complex production issues across Java services Kafka pipelines and AWS infrastructure to restore service quickly and prevent recurrence
- Document system designs deployment procedures and support guides to improve knowledge sharing and reduce operational risk for critical platforms
- Mentor junior engineering peers in Kafka AWS and Java concepts by sharing practical examples and guiding them through real project tasks
- Engage in continuous improvement activities to refine development workflows reduce technical debt and align solutions with organizational goals
Qualifications
- Possess eight to twelve years of professional software development experience with a strong focus on building backend or integration solutions in enterprise environments
- Demonstrate advanced proficiency in Java including object oriented design collections concurrency and performance optimization for production grade systems
- Exhibit solid experience designing and operating Kafka based solutions including topic modeling consumer group strategies and message retention policies
- Show practical experience with AWS services such as compute storage networking and monitoring to host secure and scalable applications
- Apply experience with testing practices including unit integration and performance testing to ensure reliability of Java and Kafka based services
- Display hands on experience with configuration management and build tools that support repeatable deployments and consistent runtime environments
- Communicate effectively with technical and non technical partners to clarify requirements explain design decisions and coordinate delivery activities
- Maintain familiarity with secure development practices and cloud security concepts to reduce vulnerabilities across application and platform layers
- Adapt quickly to new tools frameworks and patterns in the Java Kafka and AWS ecosystem while maintaining focus on business outcomes and user value
- Prefer prior exposure to event driven architectures microservices patterns and distributed system design in large scale or global organizations
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。
