Staff GCP engineer

CVS Health; Springfield (IL); On-site; USD 130,000 - 261,000; Full time

Benefits offered by this job

Medical Coverage

Dental Coverage

Vision Coverage

Paid Time Off

Retirement Benefits

Wellness Programs

Job summary

CVS Health is seeking a skilled GCP Platform Support Engineer (SRE/CI/CD) to ensure reliability of cloud-based applications on Google Cloud. You will partner with development teams to implement CI/CD pipelines and monitor system performance in a fast-paced environment.

The role focuses on automation, security, and scalable cloud infrastructure, with collaboration across engineering, QA, and operations to deliver robust, secure solutions.

Qualifications

• Experience with GCP services including Compute, Kubernetes Engine, Storage, Functions.
• SRE fundamentals: monitoring, incident management, performance optimization.
• CI/CD expertise with Cloud Build, Jenkins, or GitLab CI.
• Experience with container orchestration (Kubernetes, Docker).
• IaC experience with Terraform and Deployment Manager.
• Experience with monitoring/logging tools (Prometheus, Grafana, Cloud Monitoring).
• Strong analytical and collaborative communication skills.
• Familiarity with AI platforms and governance tooling.

Responsibilities

• Provide technical support for GCP-based apps ensuring high availability.
• Automate tasks with Python/Bash and IaC tooling (Terraform, Deployment Manager).
• Implement cloud security practices: IAM, encryption, network controls.
• Monitor cloud resources: VMs, containers, databases, networking components.
• Design/maintain CI/CD pipelines using Cloud Build, Jenkins, or GitLab CI.
• Set up monitoring/alerting with Prometheus, Grafana, and Cloud Monitoring.
• Participate in incident response and post-mortem analysis.
• Apply SRE practices: SLOs, SLIs, and error budgets.
• Support AI Platform enablement for AI agents and tools on GCP.
• Assist with AI integration patterns, security controls, and governance.
• Collaborate with development/QA/ops; maintain documentation.

Skills

GCP Expertise

SRE Principles

CI/CD Practices

Python

Bash

Terraform

Kubernetes

Monitoring

Communication

Deployment Manager

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Tools

Google Cloud Build

Jenkins

GitLab CI

Prometheus

Grafana

Docker

Kubernetes

Deployment Manager

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

We are seeking a skilled GCP Platform Support Engineer with expertise in Site Reliability Engineering (SRE) and Continuous Integration/Continuous Deployment (CI/CD) practices. The ideal candidate will be responsible for ensuring the reliability, availability, and performance of our cloud-based applications and services on Google Cloud Platform (GCP). You will work closely with development teams to implement CI/CD pipelines, monitor system performance, and troubleshoot issues in a fast-paced environment.

Key Responsibilities

• Provide technical support for GCP-based applications and services, ensuring high availability and performance
• Automate repetitive tasks and processes using scripting languages (e.g., Python, Bash) and Infrastructure as Code (IaC) tools (e.g., Terraform, Google Deployment Manager)
• Implement security best practices for cloud resources, including identity and access management (IAM), data encryption, and network
• Monitor and manage cloud resources, including virtual machines, containers, databases, and networking components
• Design, implement, and maintain CI/CD pipelines using tools such as Google Cloud Build, Jenkins, GitLab CI, or similar
• Set up and manage monitoring and alerting systems using tools like Google Cloud Monitoring, Prometheus, or Grafana to ensure system health and performance
• Participate in incident response and post-mortem analysis to identify root causes and implement preventive measures
• SRE best practices, including service level objectives (SLOs), service level indicators (SLIs), and error budgets
• AI Platform Enablement: Build and maintain Google Cloud infrastructure and services that enable application engineers to develop, deploy, and scale AI agents, plugins/tools, and knowledge-based applications securely
• AI Integration & Governance: Enable integrations with LLMs, vector/knowledge stores, APIs, and enterprise plugins; establish reusable patterns, security controls, observability, and best practices for AI agent development.
• Work closely with development, QA, and operations teams to ensure smooth deployment and operation of applications
• Create and maintain documentation for system architecture, processes, and procedures

Required Qualifications

• 3+ years experience with Google Cloud Platform (GCP) services, including Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Functions
• 3+ years experience with SRE principles and practices, including monitoring, incident management, and performance optimization
• 3+ years experienc with CI/CD tools and practices, including experience with Google Cloud Build, Jenkins, GitLab CI, or similar
• 3+ years years e…xperience with container orchestration technologies such as Kubernetes and Docker
• 3+ years experience with scripting languages (e.g., Python, Bash) and with Infrastructure as Code (IaC) tools (e.g., Terraform, Google Deployment Manager)
• 3+ years e…xperience with monitoring and logging tools such as Google Cloud Monitoring, Prometheus, Grafana, or similar
• Strong analytical and troubleshooting skills with the ability to work under pressure
• Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
• Vertex AI, Gemini, Agent Development Kit (ADK), AI Agents, MCP/Plugins, RAG, Vector Search, Cloud Run, AI Security & Governance.

Preferred Qualifications

• Google Cloud Professional Cloud Architect or Professional DevOps Engineer certifications
• Familiarity with Agile development methodologies and practices
• Experience with ETL/data pipeline and orchestration tools (e.g. Cloud Composer, Cloud Data Fusion, Dataflow and Dataproc)
• Knowledge of database technologies (e.g., Cloud SQL, BigQuery) and data management practices

Education

• Bachelor's degree in computer science, information systems, engineering, or similar
• 1 year of professional work experience required for every year of college degree not completed, in addition to required years of experience

Pay Range

The typical pay range for this role is:

$130,295.00 - $260,590.00

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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/23/2026

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