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# Google Professional Cloud Architect

- **Company:** CareerCircle
- **Location:** Charlotte, NC, United States (Remote available)
- **Salary:** $130,295.0 - $260,590.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), JavaScript (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Application Integration Architecture, Microsoft Azure, Bash Shell, BigQuery, Software as a Service, Cloud Computing, Cloud Storage, Information Systems, Computer Networks, Databases, Continuous Delivery, Continuous Integration, Extract Transform Load (ETL), DevOps, Data Flow Control, Monitoring of Systems, Identity and Access Management, JavaScript Libraries, Python (Programming Language), Microsoft Sharepoint Designer, Microsoft Network Monitor, Performance Tuning, Windows PowerShell, Reliability Engineering, Cloud Data Fusion, Prometheus, Cloudera, Search Technologies, Microsoft SharePoint, SQL Databases, Systems Architecture, Systems Integration, Virtual Machines, Workflow Management Systems, Data Logging, Scripting, Google Cloud, Microsoft Power Automate, Cloud Monitoring, ReactJS, Retrieval-Augmented Generation, System Availability, Large Language Models, Grafana, Infrastructure as Code (IaC), Agentic-AI, Gitlab, AI Platforms, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Google Cloud Functions, Build Tools, Data Management, Google Gemini, Terraform, Data Pipelines, Docker, Jenkins
- **Published:** October 9, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/all/all/be72fdf5-724f-4538-8c15-0f3ef9bd5cf0

## About the Role

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 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

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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

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Familiarity with Agile development methodologies and practices

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Experience with ETL/data pipeline and orchestration tools (e.g. Cloud Composer, Cloud Data Fusion, Dataflow and Dataproc)

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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

## Description

DevOps, Gitlab
Jenkins
Grafana
Dataflow
BigQuery
Terraform
AI Agents
Vertex AI
Operations
Governance
Kubernetes
Compassion
AI Security
Cryptography
Communication
Observability
Service Level
Collaboration
Google Gemini
Data Pipelines
Data Management
Data Encryption
AI Integrations
Computer Science
Safety Assurance
Virtual Machines
Security Controls
Agile Methodology
Docker (Software)
Technical Support
Incident Response
Google Cloud Build
Systems Engineering
Incident Management
Time Off Management
Scripting Languages
Systems Architecture
Continuous Deployment
Prometheus (Software)
Google Cloud Dataproc
Google Cloud Composer
Continuous Integration
Artificial Intelligence
Service Level Objectives
Bash (Scripting Language)
Microsoft Network Monitor
SQL (Programming Language)
Google Cloud Platform (GCP)
Extract Transform Load (ETL)
Site Reliability Engineering
Infrastructure as Code (IaC)
Python (Programming Language)
Identity And Access Management
Microsoft Certified Professional
Troubleshooting (Problem Solving)
Google Professional Cloud Architect
Application Programming Interface (API), 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

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Participate in incident response and post-mortem analysis to identify root causes and implement preventive measures

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SRE best practices, including service level objectives (SLOs), service level indicators (SLIs), and error budgets

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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

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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.

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Work closely with development, QA, and operations teams to ensure smooth deployment and operation of applications

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Create and maintain documentation for system architecture, processes, and procedures, Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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