This role focuses on designing and optimizing cloud and virtualization infrastructure as an AI infrastructure engineering architect with four to eight years of experience in AWS and Azure environments. The candidate will architect resilient compute backup and automation solutions using AWS cloud services VMware and Windows administration to support scalable AI workloads.
Responsibilities
- Design and implement scalable cloud infrastructure solutions on AWS and Azure that reliably support demanding AI workloads and core enterprise applications ensuring high availability and performance across hybrid environments.
- Architect and maintain secure and optimized AWS compute environments that align with organizational standards including instance sizing resource allocation and cost optimization strategies for production and nonproduction systems.
- Configure and administer VMware based virtualization platforms to provide stable and efficient hosting for application servers and AI infrastructure components including capacity planning and performance tuning.
- Manage Windows administration activities across servers and virtual machines including configuration patching monitoring and incident resolution to maintain a resilient and secure operating environment.
- Implement and refine AWS DevOps practices such as infrastructure as code continuous integration and continuous deployment to streamline delivery pipelines and reduce manual intervention in infrastructure operations.
- Design and oversee AWS backup strategies that safeguard critical data and application states including automated backup schedules retention policies and restore testing to ensure recovery readiness.
- Collaborate with cloud security and compliance teams to apply best practices for identity management network segmentation and data protection across AWS Azure VMware and Windows environments.
- Analyze system performance metrics and usage patterns to identify bottlenecks in AI infrastructure recommend optimizations and implement improvements that enhance reliability and user experience.
- Coordinate hybrid work activities by effectively using remote collaboration tools and onsite engagement ensuring seamless communication with application teams and operations stakeholders.
- Support integration of cloud and on premises systems by designing connectivity routing and load distribution patterns that enable reliable interaction between AI platforms and enterprise applications.
- Document infrastructure designs operational runbooks and configuration standards in a clear and accessible manner enabling consistent implementation and efficient handover to support teams.
- Engage with business and technology partners in life and annuities insurance when applicable to translate domain requirements into infrastructure specifications that meet regulatory and data protection expectations.
- Participate in occasional travel for onsite workshops data center visits or project deployments ensuring that infrastructure decisions reflect the realities of the physical and cloud environments.
Qualifications
- Demonstrate strong practical experience with AWS cloud compute services including configuration monitoring automation and optimization of instances and related resources for enterprise scale solutions.
- Apply solid VMware administration skills to manage virtual machine lifecycles resource pools snapshots and host configurations in support of stable and efficient infrastructure platforms.
- Utilize Azure cloud knowledge to design and support complementary services such as virtual machines storage and networking that integrate effectively with AWS based solutions.
- Employ AWS DevOps practices using infrastructure automation tools and pipelines to enable repeatable deployments consistent configurations and rapid change implementation for cloud environments.
- Manage AWS backup tools and strategies with a focus on data integrity retention encryption and restore validation for key business applications and AI workloads.
- Execute Windows administration tasks including user management services configuration patch deployment and troubleshooting while maintaining operational security and reliability.
- Bring awareness of life and annuities insurance domain processes where applicable to align infrastructure capabilities with policy administration claims processing and analytics needs.
The salary range for this role is between $99,000 and $115,000 depending on skills and qualifications of the candidate. Applications will be accepted till 11/11/2026.
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。
