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

Role : Direct Client - Sr DevOps Engineer - Kubernetes & 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 automation

Nice to have :

• Deployment of Azure cognitive services (Gen AI projects environments)
• Working in AI / ML Projects as a platform engineer facilitating deployments and automation

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.
8 hours ago