Job Summary
This hybrid day shift role seeks an experienced Agent Fabric Engineer with strong expertise in Azure Service Fabric and fabric technologies to design implement and optimize reliable microservice based platforms that support core manufacturing and supply chain operations ensuring scalable performance operational resilience and alignment with enterprise standards for a leading global organization.
Responsibilities
- Design and maintain robust Azure Service Fabric based platforms that reliably support critical manufacturing and supply chain applications ensuring high availability and predictable performance across hybrid environments.
- Develop and optimize microservice architectures within Azure Service Fabric to streamline manufacturing workflows and supply chain transaction processing focusing on scalability fault tolerance and efficient resource utilization.
- Implement and refine service orchestration and state management strategies within the fabric environment to stabilize complex production and logistics processes while minimizing operational disruptions.
- Collaborate with manufacturing and supply chain process experts to translate operational requirements into resilient fabric based solutions that improve throughput traceability and end to end process visibility.
- Monitor analyze and tune fabric cluster performance using advanced observability tools and metrics proactively addressing bottlenecks to enhance system responsiveness and reliability for business critical workloads.
- Configure and enforce security controls identity management and access governance within fabric platforms to safeguard production data inventory information and supply chain transactions in line with enterprise policies.
- Drive incident analysis and root cause remediation for fabric related issues implementing durable corrective actions to reduce recurrence and improve stability of manufacturing and logistics systems.
- Coordinate with hybrid infrastructure and application teams to ensure seamless integration of fabric services with existing enterprise systems data platforms and automation solutions that support global operations.
- Document fabric environments deployment patterns and operational runbooks in a clear manner enabling consistent support practices and efficient onboarding of engineering and operations partners.
- Support release management and change implementation for fabric based services by defining deployment strategies validation steps and rollback procedures that protect uptime in manufacturing and supply chain processes.
- Evaluate emerging capabilities in Azure Service Fabric and related cloud native technologies recommending practical enhancements that strengthen platform resilience and business continuity for production and distribution sites.
- Provide mentoring and technical guidance to peers and cross functional partners on effective use of fabric patterns microservices and observability practices that elevate engineering standards across the organization.
- Align day to day engineering activities with company sustainability and efficiency goals by enabling data driven optimization of manufacturing and supply chain flows through dependable fabric based platforms.
Qualifications
- Possess approximately nine to twelve years of overall experience in engineering complex distributed systems including several years dedicated to designing and operating solutions built on Azure Service Fabric and fabric technologies.
- Demonstrate advanced proficiency in configuring fabric clusters implementing reliable microservices managing application lifecycles and applying resilience patterns suited to high volume manufacturing and supply chain environments.
- Apply deep domain understanding of manufacturing operations production planning inventory control and supply chain logistics to build fabric based solutions that reflect real world process constraints and regulatory expectations.
- Exhibit strong capability in performance tuning capacity planning and observability for fabric platforms using metrics tracing and diagnostics to drive continuous improvement in system responsiveness and stability.
- Show experience in hybrid work models and enterprise collaboration using structured communication and documentation to coordinate effectively with distributed teams operating production and logistics systems.
- Utilize solid knowledge of secure engineering practices authentication models and data protection principles when designing fabric services that handle sensitive manufacturing and supply chain information.
- Display a track record of working in day shift operational settings ensuring timely support for production schedules and supply chain events while adhering to defined service level expectations.
Certifications Required
Azure Solutions Architect Expert or Azure Developer Associate or equivalent cloud certification focused on distributed applications and microservices.
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。
