Lead DevOps Engineer Robust Background In Google Cloud Platform GCP RedHat OpenShift

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Looking for an experienced GCP Cloud/DevOps Engineer and or OpenShift to design, implement, and manage cloud infrastructure and services across multiple environments. This role requires deep expertise in Google Cloud Platform (GCP) services, DevOps practices, and Infrastructure as Code (IaC). Candidate will be deploying, automating, and maintaining high-availability systems, and implementing best practices for cloud architecture, security, and DevOps pipelines.

Requirements

• Bachelors or masters degree in computer science, Information Technology, or a similar field
• Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift
• Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring
• Solid understanding of cloud security best practices and experience in implementing security controls in GCP
• Thorough understanding of cloud architecture principles and best practices
• Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles
• Proven leadership skills and the ability to mentor and guide a technical team
  
  

• Architect, design, and implement scalable, reliable, and secure solutions on GCP.
• Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.
• Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.
  
  

• Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.
• Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.
  
  

• Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.
• Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.
  
  

• Handle user and service account management in Google Cloud IAM.
• Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.
• Implement network and data security best practices to ensure compliance and security of cloud resources.
  
  

• Monitoring & Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).
• Networking & Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.
• Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.
• Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.
  
  

• Orchestrate complex workflows using Argo Workflow Engine.
• Containerization: Work extensively with Docker for containerization and image management.
• Optimization: Troubleshoot and optimize containerized applications for performance and security.
  
  

• Expertise with GCP and OCP (OpenShift) services, including but not limited to Compute Engine, Kubernetes Engine (GKE), BigQuery, Cloud Storage, Pub/Sub, Datafusion, Airflow, Cloud Functions, and Cloud SQL.
• Proficiency in scripting languages like Python, Bash, or PowerShell for automation.
• Familiarity with DevOps tools and CI/CD processes (e.g. GitLab CI, Cloud Build, Azure DevOps, Jenkins)