SRE Architect - AI

Cognizant; St. Louis (MO); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Cognizant is seeking a Site Reliability Architect – Cloud & AI to improve reliability and performance of Sitecore and AI workloads hosted on VMware Cloud on AWS.

You will design scalable architectures, optimize Java services, and develop CI/CD pipelines while adopting strong SRE practices across environments.

Qualifications

• Design and implement highly reliable and scalable platform architectures on VMware Cloud on AWS.
• Develop and enhance CI/CD pipelines for Sitecore and related services, with automated testing and controlled deployments.
• Establish site reliability engineering practices, including monitoring, observability, incident response, capacity planning, and automated recovery.
• Experience with site reliability and production engineering, including incident management and root-cause analysis.
• Experience supporting Sitecore and enterprise-scale digital platforms, with knowledge of AI workloads.

Responsibilities

• Design and implement reliable, scalable platform architectures on VMware Cloud on AWS for Sitecore and AI workloads.
• Optimize Core Java services and cloud infrastructure to improve performance and reliability.
• Develop and enhance CI/CD pipelines for Sitecore and related services with automated testing and controlled deployments.
• Establish SRE practices including monitoring, observability, incident response, and root-cause analysis.
• Collaborate with AI, Sitecore, and cloud teams to resolve production issues and modernization opportunities.

Skills

Core Java

CI/CD pipelines

Monitoring

Observability

Sitecore

VMware Cloud on AWS

Job description

Title: Site Reliability Architect – Cloud & AI

Location: St Louis, MO- Earth City, Missouri- 2 days a week

**Unfortunately no Visa transfer / c2c / sponsorship available for this role**

Site Reliability Architect – Cloud & AI, you will make an impact by improving the reliability, scalability, resilience, and performance of enterprise AI and Sitecore platforms hosted on VMware Cloud on AWS. You will collaborate with AI developers, Sitecore engineers, cloud operations teams, and other stakeholders to deliver secure, stable, and highly available solutions supporting digital experiences and healthcare services.

In this role, you will:

• Design and implement highly reliable and scalable platform architectures on VMware Cloud on AWS, supporting mission-critical Sitecore applications and AI workloads.
• Optimize Core Java services, Sitecore integrations, and cloud infrastructure to improve application performance, availability, and operational stability.
• Develop and enhance CI/CD pipelines for Sitecore and related services, incorporating automated testing, security controls, and controlled deployments across environments.
• Establish site reliability engineering practices, including monitoring, observability, incident response, root-cause analysis, capacity planning, service-level objectives, and automated recovery.
• Partner with AI, Sitecore, and cloud engineering teams to resolve production issues, implement sustainable fixes, and identify modernization opportunities that improve platform reliability and healthcare service outcomes.
• 18–22 years of overall technology experience, with extensive experience designing, building, or supporting highly available enterprise platforms.
• Strong experience with VMware Cloud on AWS, including configuration, migration, optimization, and support of critical enterprise workloads.
• Advanced Core Java experience, including application performance optimization, service reliability, and maintainable application design.
• Strong experience developing and managing CI/CD pipelines, particularly for Sitecore or related enterprise applications.
• Practical experience with site reliability and production engineering, including monitoring, observability, resilience, fault tolerance, incident management, root-cause analysis, and automated recovery.
• Experience supporting Sitecore applications and enterprise-scale digital platforms.
• Knowledge of AI platform reliability and production AI workloads.