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