Direct Client - Sr DevOps Engineer - Kubernates AIML Experience

Role: Direct Client Sr DevOps Engineer Kubernates & AI/ML Experience
Location: Hybrid (SeattleWA)
Duration: 12 months

Job Description:
We are seeking a sed 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 ss:

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

Nice to have:

• Deployment of Azure cognitive services ( GenAI projects environments )
• Working in AI/ML Project as platform engineer facilitating deployments and 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 versioncontrolled 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.
• Elish 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 ss with the ability to work effectively in a remote team.