The ideal candidate will be responsible for designing, provisioning, automating, and managing scalable cloud infrastructure while supporting containerized applications, CI/CD pipelines, and AI-driven solutions. Job Summary We are seeking a Senior Cloud & DevOps Architect with strong expertise in AWS, GCP, Infrastructure as Code (IaC), Kubernetes, and modern cloud-native technologies.

Senior Cloud & DevOps Architect

Location: San Jose, CA 95134
Work Model: Hybrid
Contract Duration: 6 Months
Experience Required: 8 10 Years

<.>Job Summary

We are seeking a Senior Cloud & DevOps Architect with strong expertise in AWS, GCP, Infrastructure as Code (IaC), Kubernetes, and modern cloud-native technologies. The ideal candidate will be responsible for designing, provisioning, automating, and managing scalable cloud infrastructure while supporting containerized applications, CI/CD pipelines, and AI-driven solutions.

<.>Required Skills

• AWS Certified Solutions Architect
• Strong experience with Google Cloud Platform (GCP)
• Cloud Infrastructure Provisioning and Management
• Infrastructure as Code (IaC)
• Terraform
• CI/CD Pipeline Development and Automation
• Docker and Kubernetes
• Amazon EKS (Elastic Kubernetes Service)
• OpenShift
• Ansible
• Shell Scripting
• ELK Stack (Elasticsearch, Logstash, Kibana)
• Experience with AI Tools and Agent Development
• Cloud Monitoring, Logging, and Automation

<.>Key Responsibilities

• Design, build, and manage cloud infrastructure across AWS and GCP environments.
• Develop and maintain Infrastructure as Code using Terraform.
• Implement and optimize CI/CD pipelines for automated deployments and releases.
• Deploy and manage containerized applications using Docker, Kubernetes, EKS, and OpenShift.
• Automate infrastructure provisioning, configuration management, and operational tasks using Ansible and Shell scripting.
• Design and maintain monitoring and logging solutions using the ELK Stack.
• Support cloud migration, modernization, and cloud-native application initiatives.
• Develop and integrate AI tools, automation frameworks, and intelligent agents to improve operational efficiency.
• Ensure cloud environments are secure, scalable, highly available, and cost-effective.
• Collaborate with development, architecture, and operations teams to deliver enterprise-grade cloud solutions.

<.>Preferred Qualifications

• Experience with microservices architecture.
• Knowledge of DevSecOps practices.
• Experience supporting enterprise-scale cloud transformation projects.
• Familiarity with Generative AI, AI Agents, and cloud-based AI services.