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

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.