Distinguished Engineer, Enterprise Solutions Engineering

Overview

Join us as a Distinguished Engineer in the Cloud Solution Engineering team, leading system architecture and engineering governance for large‑scale enterprise applications. You will shape end‑to‑end designs that meet CVS Health’s security, compliance, operational, and resiliency standards while supporting business scalability and delivery outcomes.

• 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, Air Gap 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.

• 15+ years of experience in software, system, platform, 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 , 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, Service Now, or similar enterprise workflow and documentation platforms.
• Education:
  
  Bachelor’s degree in Computer Science, Engineering, or related field.

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Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.