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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
