Senior Platform Software Engineer

CVS Health•Carolina, NC

About The Position

We’re looking for a Senior Platform Software Engineer who thrives at the intersection of cloud infrastructure, backend engineering, and developer enablement. This role is ideal for an engineer who enjoys building secure, scalable platforms that abstract complexity away from product teams, while still being close to the underlying systems. You’ll design and operate shared AI-native platforms that power application delivery, cloud-native services, CI/CD pipelines, and operational tooling. You’ll collaborate closely with SRE, security, and product engineering teams to ensure the platform is reliable, self-service, and built for scale. This is not a traditional ops role, and it’s not purely application development. The focus is on productizing infrastructure and backend capabilities as platforms.

Requirements

Strong experience in cloud infrastructure engineering and backend service development
Demonstrated experience for working in AI‑native engineering environments, where AI tools, agents, and automation are treated as core collaborators in the development process
Hands-on experience with: AWS (EC2, ECS/EKS, RDS/Aurora, S3, IAM, VPC, etc.)
Infrastructure as Code (Terraform strongly preferred)
One or more backend languages (Go, Python, Kotlin, Node, Java, etc.)
Solid understanding of distributed systems concepts: scalability, resilience, observability, and failure modes
Experience building or operating CI/CD pipelines and release automation
Ability to think in terms of platforms and products, not just individual systems
Comfort working with abstractions while still understanding what’s underneath
Experience enabling other teams through tooling, automation, and guardrails
Strong written and verbal communication skills, especially for explaining complex systems clearly
Self-starting, able to contribute to roadmap, and take initiative with features and user stories

Nice To Haves

Full stack experience (React, frontend tooling, or internal UI development), though not required
Familiarity with LLM platforms, agent frameworks, or AI‑enabled developer tooling (commercial or open source)
Experience with Kubernetes, service meshes, or container orchestration platforms
Familiarity with security and compliance concepts in regulated environments
Prior experience on SRE, product, platform, or internal tooling teams

Responsibilities

Design, build, and operate cloud-native platforms on AWS (or equivalent), emphasizing scalability, availability, security, and cost efficiency
Embed AI‑assisted and agentic workflows into CI/CD pipelines, infrastructure provisioning, incident response, and operational tooling
Develop and maintain cloud infrastructure using Infrastructure as Code (Terraform preferred)
Build and support shared cloud services such as networking, IAM patterns, managed data services, observability tooling, and service templates
Partner with SRE and security teams to embed reliability, compliance, and guardrails into platform workflows
Design and build backend services, APIs, and internal platforms that enable other teams to move faster
Develop automation and tooling using modern backend languages (e.g., Go, Python, Kotlin, Node, or similar)
Contribute to service architecture decisions, including service-to-service communication patterns, data access strategies, and resiliency models
Review code and architectural designs with a focus on performance, operability, and long-term maintainability
Create self-service interfaces, documentation, and workflows that reduce friction for application teams
Enable product teams to consume AI‑powered platform capabilities through secure, self‑service interfaces
Improve CI/CD pipelines, release automation, and deployment strategies
Advocate for platform-as-a-product thinking: usability, adoption, and developer experience matter
Partner with product managers and engineers to understand developer pain points and translate them into platform capabilities
Act as a senior technical contributor and mentor to other engineers
Influence standards and best practices across infrastructure, backend, and platform design
Participate in architecture reviews and contribute to longer-term platform roadmap discussions
Lead by example in operational excellence, incident response, and post-incident learning