Senior Architect - Infrastructure Solution Engineering

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a highly skilled and collaborative Senior Architect – Infrastructure Solution Engineering to drive the design and execution of robust, scalable, and secure infrastructure architectures across cloud and on-premises environments. The ideal candidate will bring strong expertise in system design, artificial Intelligence & machine learning , infrastructure automation, cloud modernization, and performance troubleshooting, combined with a compelling ability to influence cross-functional teams and articulate complex technical topics with clarity.

Join Us in shaping the next generation of resilient and intelligent infrastructure platforms. Apply now to be part of a team where your ideas and expertise will shape enterprise innovation

Key Responsibilities

• Architecture & System Design:
  - Design scalable, secure, and resilient infrastructure solutions across cloud (GCP/Azure/AWS) and datacenter environments.
  - Develop architecture topologies and patterns to support enterprise-grade applications.
• Fluent in networking and doing data center assessment for effectively design and modernize legacy applications
• Modernization & Cloud Migration:
  - Lead modernization efforts for legacy systems and drive application migration from datacenter to cloud platforms.
  - Define cloud adoption frameworks and integration strategies to accelerate digital transformation.
• Automation & IaC:
  - Implement Infrastructure as Code (IaC) for provisioning and configuration using tools like Terraform, ARM templates, etc.
  - Develop CI/CD pipelines and automation scripts to support repeatable, compliant infrastructure deployment Patterns.
• Performance & RCA:
  - Lead Root Cause Analysis (RCA) on performance issues across compute, memory, storage, network, cache, middleware, etc.
  - Collaborate with SRE and platform teams to identify and resolve latency and resiliency challenges.
• Collaboration & Influence:
  - Act as a trusted advisor to application, security, and platform teams, driving alignment on infrastructure strategies and patterns.
  - Facilitate architecture reviews, working sessions, and executive briefings with strong storytelling and influence.
• Innovation & AI Integration:
  - Stay abreast of evolving AI infrastructure services and recommend usage patterns aligned with enterprise strategy.
  - Support adoption of AI-enabled infrastructure solutions for operations and observability.

Required Qualifications

• Bachelor’s degree or equivalent degree in computer science, Engineering, or related field.
• Minimum of 3 years’ experience in Infrastructure Solution Architecture and Engineering.
• Strong understanding of system integration, performance engineering, and enterprise architecture principles.
• Familiarity with SRE practices, DevOps, and resilient design patterns.

Preferred Qualifications

• Cloud certifications in GCP, AWS and/or Azure (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert).
• Experience with ServiceNow ,ITOM,  AIOps , Machine learning , observability tooling, monitoring platforms, and incident management practices.
• Proven experience in application modernization and cloud migration.
• Proficiency in Terraform, Python/Shell scripting, and cloud-native infrastructure services.

Key Competencies

• Strong communicator and storyteller capable of translating complex infrastructure concepts into actionable guidance.
• Effective collaborator and influencer, able to drive consensus across diverse stakeholder groups.
• Passion for solving complex problems and delivering measurable impact on application availability and performance.

Education

• Bachelors degree in Computer Science, Engineering, or a related field or equivalent experience.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$83,430.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all