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.
- 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 data pipelines are efficient and reliable.
- 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.
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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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