Cloud Architect (Remote)
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Key skills for this role
About the Role
We are hiring a DevOps Engineer on a contract basis to design, deploy, and optimize cloud infrastructure for next-generation AI systems. You will work remotely, implementing CI/CD pipelines, containerization, and infrastructure as code.
Key Skills for This Role
Responsibilities
- Design, deploy, and manage resilient, secure, and scalable infrastructure using AWS, Azure, and GCP cloud providers
- Implement and streamline CI/CD pipelines to enable rapid, reliable deployments across multiple environments
- Build and maintain containerized applications using Docker, and orchestrate clusters with Kubernetes
- Automate infrastructure provisioning and management with tools like Terraform and Ansible
- Monitor system health and performance using Prometheus and Grafana, ensuring proactive issue resolution
- Manage IAM policies, secrets, and access controls to maintain security and compliance
- Optimize logging architecture to capture and analyze system data for continuous improvement
Requirements
- 3+ years of experience in DevOps practices, with hands on expertise in cloud platforms (AWS, Azure, GCP)
- Proficiency in containerization (Docker) and orchestration (Kubernetes) for scalable application deployment
- Experience with infrastructure as code tools (Terraform, Ansible) for automated provisioning and management
- Familiarity with CI/CD pipelines (e.g., GitHub Actions, Jenkins) to streamline software delivery
- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK Stack) for system observability
- Strong understanding of Linux system administration, networking fundamentals, and security best practices
- Ability to collaborate cross functionally with development, security, and AI teams to align infrastructure with business goals
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a DevOps Engineer to work on a contract basis.
- In this role, you will design, deploy, and optimize cloud infrastructure to support next generation AI systems, ensuring scalability, security, and reliability.
- Your expertise will directly contribute to training high performance AI models by maintaining robust development and deployment pipelines.
Key Responsibilities
- Design, deploy, and manage resilient, secure, and scalable infrastructure using AWS, Azure, and GCP cloud providers.
- Implement and streamline CI/CD pipelines to enable rapid, reliable deployments across multiple environments.
- Build and maintain containerized applications using Docker, and orchestrate clusters with Kubernetes.
- Automate infrastructure provisioning and management with tools like Terraform and Ansible.
- Monitor system health and performance using Prometheus and Grafana, ensuring proactive issue resolution.
- Manage IAM policies, secrets, and access controls to maintain security and compliance.
- Optimize logging architecture to capture and analyze system data for continuous improvement.
Required Skills & Qualifications
- 3+ years of experience in DevOps practices, with hands on expertise in cloud platforms (AWS, Azure, GCP).
- Proficiency in containerization (Docker) and orchestration (Kubernetes) for scalable application deployment.
- Experience with infrastructure as code tools (Terraform, Ansible) for automated provisioning and management.
- Familiarity with CI/CD pipelines (e.g., GitHub Actions, Jenkins) to streamline software delivery.
- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK Stack) for system observability.
- Strong understanding of Linux system administration, networking fundamentals, and security best practices.
- Ability to collaborate cross functionally with development, security, and AI teams to align infrastructure with business goals.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the AI and cloud computing industries.
- You will contribute to building the infrastructure that powers AI model training and evaluation, gaining exposure to cutting edge technologies and high impact projects.
- The position provides flexibility to work from anywhere while collaborating with a diverse, expert driven team dedicated to advancing AI capabilities.
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