Job Summary
Sr Software Engineer B3 will design and deliver resilient Java microservices on AWS using Kafka for high throughput data integration in a hybrid work model. The role involves end to end solution engineering from technical design to production support ensuring secure scalable systems that improve customer experiences and operational efficiency while aligning with strategic enterprise goals.
Responsibilities
- Design and develop robust Java microservices that are scalable maintainable and aligned with enterprise engineering standards to support critical business applications and customer facing platforms.
- Architect and implement event driven solutions using Kafka to enable reliable asynchronous communication between distributed services and to support real time data streaming across complex ecosystems.
- Optimize AWS based application deployments by selecting appropriate services configuring infrastructure as code and tuning performance to achieve cost efficient secure and highly available environments.
- Collaborate with product owners architects and cross functional engineering teams in a hybrid work model to translate business requirements into detailed technical designs and implementation plans.
- Implement secure coding practices API governance and data protection mechanisms within microservices to ensure compliance with organizational security guidelines and industry regulations.
- Troubleshoot complex production incidents by performing root cause analysis across Kafka streams microservices and AWS components and implement preventive improvements to enhance system resilience.
- Drive continuous integration and continuous delivery pipelines by configuring build test and deployment workflows that accelerate release cycles while maintaining high code quality standards.
- Mentor junior engineers in best practices for Java microservices Kafka event streaming and cloud native design patterns to elevate overall team capability and technical maturity.
- Analyze system performance metrics and application logs to identify bottlenecks and apply targeted optimizations that improve response times throughput and resource utilization.
- Coordinate with site reliability and operations teams to define observability strategies including logging metrics and alerts for Kafka topics and microservices to support proactive monitoring.
- Contribute to technical roadmaps by evaluating emerging tools frameworks and AWS services that can strengthen platform reliability and deliver better experiences for customers and business stakeholders.
- Document architecture decisions service contracts data flows and operational runbooks in clear and accessible formats to support knowledge sharing and sustainable long term maintenance.
- Engage in code reviews backlog refinement and technical discussions during day shifts to ensure solutions are feasible maintainable and aligned with organizational goals without requiring travel.
Qualifications
- Demonstrate strong proficiency in Java and object oriented design with the ability to build clean modular and testable microservices that integrate reliably within distributed systems.
- Apply expert level understanding of Kafka including topic design consumer group strategy and message serialization to implement high throughput and fault tolerant event streaming solutions.
- Utilize hands on experience with AWS services such as compute storage networking and managed data solutions to design secure scalable and cost conscious cloud architectures.
- Bring solid knowledge of microservices principles including service decomposition resilience patterns and interservice communication to ensure loosely coupled and evolvable solutions.
- Exhibit practical experience with hybrid work collaboration tools and agile methodologies to coordinate effectively with onsite and remote team members across projects.
- Employ strong analytical problem solving and debugging skills to diagnose complex issues spanning code infrastructure and data flows and to deliver timely sustainable resolutions.
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。
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