Distinguished Engineer, Cloud Solutions Engineering

Role Description

CVS Health is seeking a Distinguished Engineer to join the Cloud Solution Engineering team and act as a senior technical leader across system architecture, enterprise engineering patterns, resiliency, and technology governance. This role will evaluate and shape end-to-end system designs so they align with CVS Health security, compliance, operational, and resiliency standards while also supporting business scalability and delivery outcomes. The engineer will partner closely with application teams, Enterprise Architecture, Security, Platform Engineering, Cloud Engineering, and Operations to review business requirements, logical architectures, network flows, platform dependencies, and solution implementation patterns.

• Lead system design and architecture reviews for enterprise applications, platforms, and shared services.
• Translate business requirements into scalable, secure, resilient, and supportable end-to-end system designs.
• Evaluate logical architectures against CVS Health approved patterns for ingress, secure hub routing, managed firewall traversal, API gateway usage, identity, and private connectivity.
• Guide engineering teams on approved hosting models across Kubernetes clusters, web applications, and shared cloud platforms.
• Assess application architectures against resiliency tier expectations including RTO, RPO, replication, failover, AirGap backup, observability, and operational recovery readiness.
• Validate use of approved cloud-native, managed, and SaaS services across Azure, GCP, AWS, and on-prem environments.
• Provide architecture gap assessments, remediation plans, and target-state recommendations for application teams and engineering leadership.
• Drive system engineering decisions across infrastructure, application, integration, data, network, identity, and observability domains.
• Create and evolve reference architectures, reusable engineering blueprints, and architecture review frameworks for the Solution Engineering team.
• Partner with Security, Compliance, Enterprise Architecture, and platform teams on standards adoption, exception handling, and risk-based design decisions.
• Mentor engineers and architects in strong system design, resiliency engineering, and enterprise solution pattern usage.
• Support AI-enabled automation of architecture reviews using structured rules, multimodal inputs, and knowledge-based recommendations.

Qualifications

• 15+ years of experience in software engineering, system engineering, platform engineering, distributed systems, or enterprise architecture.
• Deep expertise in system design for large-scale enterprise applications, service-oriented systems, and distributed platforms.
• Deep expertise in system engineering across infrastructure, networking, security, application, integration, and operations domains.
• Strong experience designing and reviewing cloud-native and hybrid architectures across Azure, GCP, AWS, and/or on-prem environments.
• Strong understanding of enterprise security patterns including edge ingress, load balancing, API gateways, network segmentation, firewall controls, identity management and private service connectivity.
• Strong knowledge of resiliency engineering, including high availability, disaster recovery, backup and restore, replication, failover, and operational recovery planning.
• Experience with Kubernetes, web-hosted application platforms, APIs, managed data services, and service-to-service integration patterns.
• Ability to evaluate ambiguous business and technical requirements, identify architectural risk, and provide clear engineering guidance.
• Strong written and verbal communication skills, including executive-ready architecture assessments and technical recommendations.

Preferred Qualifications

• Experience in healthcare or another highly regulated enterprise environment.
• Experience with enterprise identity and authorization patterns such as Azure AD or Entra ID, managed identity, service principals, OAuth 2.0, and external identity providers.
• Experience with API management platforms such as Azure API Management, Apigee X, Kong, or comparable gateway technologies.
• Experience with architecture governance, approved service catalogues, and cloud adoption guardrails.
• Experience building or supporting AI-enabled engineering workflows, architecture assessment platforms, or recommendation automation capabilities.
• Familiarity with vector databases, retrieval-augmented generation, and knowledge-driven advisory systems.
• Experience with Jira, Confluence, ServiceNow, or similar enterprise workflow and documentation platforms.

Education

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

Pay Range

The typical pay range for this role is: $175,100.00 - $334,750.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.