Amazon Web Services (AWS), Ansible, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Cloud Applications, Cloud Architecture, Cloud Computing, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, DevOps, Docker, Elasticsearch, GCP (Good Clinical Practices), High Availability, Microservices, Operational Improvement, Operational Strategy, Software Administration, Software Agents, Unix Shell Programming
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.
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