Senior DevOps Engineer

3 days ago

Seattle, Washington, United States Chateck Inc Full time
Job Title: Senior DevOps Engineer - Kubernetes & AI/ML Expert

Job Summary:
Chateck Inc is seeking a highly skilled Senior DevOps Engineer to join our team. The ideal candidate will have expertise in designing, deploying, and managing infrastructure solutions using Terraform, with a focus on scalability, security, and reliability.

Key Responsibilities:
• Design, deploy, and manage infrastructure solutions using Terraform.
• Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
• Implement and manage Kubernetes clusters for containerized applications.
• Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
• Leverage scripting languages (e.g., Python) to automate routine tasks and streamline workflows.
• Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
• Ensure seamless integration of infrastructure components with CI/CD pipelines.
• Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms.
• Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
• Ensure containerized applications are secure, scalable, and easily deployable.
• Enable seamless integration of AI/ML models into the platform, ensuring efficient and reliable data pipelines.
• Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
• Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards.

Requirements:
• Proven experience in designing and managing infrastructure using Terraform.
• Strong expertise in Kubernetes, Docker, and container orchestration for deploying and managing applications.
• Proficiency in scripting languages such as Python for automation.
• Experience implementing CI/CD pipelines for efficient software delivery.
• Familiarity with infrastructure as code (IaC) best practices.
• Prior experience in designing and maintaining scalable and reliable infrastructure for AI/ML platforms.
• Knowledge of security best practices for AI/ML platforms, ensuring data privacy and compliance.
• Strong collaboration and communication skills, with the ability to work effectively in a remote team.

What We Offer:
• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

How to Apply:
Interested candidates should submit their resume and cover letter to [insert contact information].

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