Platform Engineer

Job Description

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About the Role

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Platform Engineer - Kubernetes / Terraform / Azure Location – Remote Duration – 12 months Rate: DOE

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Responsibilities

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

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Required Skills

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Preferred Skills

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Pay range and compensation package

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• Rate: DOE
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Equal Opportunity Statement

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