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remoteroles

Staff GCP engineer

Cvshealth Open · verified Oct 22, 2026
Remote Work from home Full-time Senior Cloud

At a glance

Senior Cloud role at Cvshealth. Remote, United States · full-time · $130,295–$260,590 base.

SalaryStated by Cvshealth
$130,295 – $260,590
Base salary for this role, in USD per year, as published in the posting.
RoleCloud
SenioritySenior
LocationWork from home
WorkplaceRemote
EmploymentFull-time
Base pay$130,295–$260,590
PostedOct 8, 2026 · 2w ago
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Keep GCP applications available and responsive by supporting services, tracking system health, and resolving incidents
  • Build CI/CD workflows and automate recurring cloud tasks with scripts and infrastructure-as-code tools
  • Manage cloud compute, containers, databases, networking, access controls, encryption, and monitoring
  • Create GCP services that let application teams build and scale AI agents and knowledge-based applications securely
  • Set reusable safeguards and operating patterns for AI integrations, then document systems and incident findings

What you bring

  • At least three years working with GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, and Cloud Functions
  • At least three years applying SRE practices, including monitoring, incident response, and performance tuning
  • Three or more years with CI/CD, container orchestration, scripting, infrastructure-as-code, and monitoring tools
  • You have a bachelor's degree in a related field, or additional professional experience for each year of college not completed

Who this fits

This is a senior, hands-on cloud engineering role for someone comfortable supporting GCP services and enabling AI application development. The position is remote and work from home in the United States.

From the employer

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 experience 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 experience 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.

Opportunity

Cloud work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

CloudRemote$130k+

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Cloud work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.