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Site Reliability Architect - AI Platforms

  • $105,000–$167,500 Per Year

Highlights

Success in this role requires experience designing highly available distributed systems, deep knowledge of cloud platforms and containerized environments, and a passion for building resilient, scalable, and automated technology ecosystems that enable innovation while maintaining operational excellence. 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.

Numbers & Facts

LocationMO
IndustryComputer/IT Services
Salary$105,000–$167,500 Per Year
Company Size10,000 employees or more
Year Founded1994
Websitehttps://www.cognizant.com

Description

Job Summary

We are seeking a highly skilled Site Reliability Architect - AI Platforms to lead the design, scalability, reliability, and operational excellence of next-generation AI and cloud platform ecosystems. This role combines deep expertise in Site Reliability Engineering (SRE), cloud-native architecture, automation, observability, and AI platform technologies to ensure highly available, resilient, and performant services at enterprise scale.

The ideal candidate will be a hands-on technical leader who can architect platform solutions, establish reliability best practices, and drive automation strategies across complex distributed systems. You will collaborate closely with engineering, platform, cloud, DevOps, and AI teams to build and maintain robust environments that support mission-critical applications and emerging AI capabilities.

  • Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

About the Role

As a Site Reliability Architect - AI Platforms, you will be responsible for defining and implementing reliability strategies for cloud-native and AI-enabled platforms. You will serve as a technical authority for platform architecture, resiliency, observability, automation, and performance optimization while working across multiple engineering disciplines.

This role requires a strong architectural mindset combined with hands-on technical expertise. You will partner with stakeholders to design scalable infrastructure solutions, improve operational efficiency through automation, establish service reliability standards, and support the deployment and operation of modern AI and machine learning workloads.

Success in this role requires experience designing highly available distributed systems, deep knowledge of cloud platforms and containerized environments, and a passion for building resilient, scalable, and automated technology ecosystems that enable innovation while maintaining operational excellence.

In This Role, You Will

  • Design and implement highly reliable AI platform architectures on VMware Cloud on AWS that support mission critical SiteCore applications for enterprise scale digital experiences and healthcare services.
  • Optimize Core Java based services and SiteCore integration layers to ensure consistent performance, rapid response times and stable operation across hybrid cloud environments.
  • Develop and maintain robust CI CD pipelines tailored for SiteCore workloads so that code changes, configuration updates and content deployments are delivered safely and efficiently.
  • Establish reliability engineering practices including automated monitoring, alerting and incident response workflows to reduce downtime and increase platform availability.
  • Analyze production issues across AI components, SiteCore, VMware Cloud on AWS and Core Java microservices to identify root causes and implement durable fixes that prevent recurrence.
  • Collaborate with AI developers, SiteCore engineers and cloud operations teams to align reliability objectives with product goals, regulatory requirements and business priorities.
  • Implement capacity planning, performance benchmarking and resource optimization strategies on VMware Cloud on AWS to support growth in users, data and AI workloads without service degradation.
  • Define and enforce coding standards, configuration baselines and deployment patterns in Core Java and CI CD processes to improve consistency, security and operational efficiency.
  • Guide teams in adopting site reliability engineering practices such as error budgets, service level objectives and continuous improvement cycles that directly enhance customer experience.
  • Integrate observability tools and telemetry into AI pipelines and SiteCore solutions to provide clear visibility into behavior, dependencies and health of critical services.
  • Coordinate day shift hybrid operations to support releases, platform changes and reliability improvements while minimizing impact on business stakeholders and end users.
  • Evaluate potential AI platform enhancements and modernization opportunities that improve healthcare claim processing accuracy, speed and transparency for members and providers.
  • Document reliability patterns, runbooks and operational procedures so that teams can respond quickly to incidents and maintain consistent service quality in complex environments.

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in Earth City, MO. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

  • Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Required Qualifications

  • Extensive experience building and supporting platforms on VMware Cloud on AWS including configuration, migration and optimization of critical enterprise workloads.
  • Advanced Core Java expertise to design stable services, tune application performance and ensure maintainable code structures for SiteCore and AI related components.
  • Strong CI CD skills to construct automated pipelines for SiteCore and related services that include testing, security checks and controlled promotion across environments.
  • Bring practical understanding of AI platform reliability including monitoring, resilience patterns, fault tolerance and automated recovery techniques in production settings.
  • Leverage knowledge of Medicare and Medicaid claim processing to align platform behaviors with healthcare regulations, payment integrity needs and member experience expectations.
  • Work effectively in a hybrid day shift model coordinating with distributed teams and stakeholders while maintaining clear communication and reliable operational coverage
  • Salary and Other Compensation:

Applications will be accepted until November 8th , 2026.

The annual salary for this position is between $105,000 - $167,500 depending on the experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

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.

About Company

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

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