AWS Cloud and Virtualization Engineer

Cognizant is seeking a AWS Cloud and Virtualization Infrastructure Engineer for a full-time opportunity.

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.

Additional employment information

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.