Direct Client - Sr DevOps Engineer - Kubernates & AI/ML Experience at Chateck Inc

Role: Direct Client - Sr DevOps Engineer - Kubernates & AI/ML Experience
Location: Hybrid (Seattle, WA)
Duration: 12+ months

Job Description:
We are seeking a skilled Infrastructure and DevOps Engineer to join our dynamic team. The ideal candidate will have expertise in designing, deploying, and managing infrastructure solutions using Terraform, with a focus on scalability, security, and reliability. The successful candidate will play a crucial role in automating provisioning and configuration tasks, implementing CI/CD pipelines, and ensuring the seamless integration of AI/ML platforms.

Experience level: 10+ Yrs

Top skills:

• Terraforms ( Migrating from ARM/PowerShell to Terraforms)
• Managing Kubernetes & deploying Microservices
• Scripting language like Python for automations

Responsibilities:

• Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
• Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
• Ensure version-controlled, repeatable deployments using IaC best practices.
• 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.