Distinguished Engineer, Enterprise Solutions Engineering

CVS Health

Distinguished Engineer designing scalable health technology systems at CVS Health. Leading system architecture reviews for enterprise applications and ensuring compliance with standards.

Posted 6/3/2026full-timeRemote • Connecticut • 🇺🇸 United StatesSeniorLead💰 $175,100 - $334,750 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesServiceNow

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
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.

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
other resources, based on eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

system designcloud-native architecturehybrid architectureresiliency engineeringKubernetesAPI managementdisaster recoveryidentity managementservice integrationenterprise architecture

Soft Skills

communication skillsmentoringguidancerisk assessmentcollaboration