Platform Engineer (WFH)
About the Role
The Platform Engineer will design, deploy, and maintain cloud infrastructure using Terraform, Kubernetes, and Azure. This is a fully remote, 12-month contract focused on infrastructure automation, container orchestration, CI/CD, and building reliable environments for AI/ML platforms. The role involves working with development teams to support application deployment, scalability, security, and performance. The engineer will also help integrate AI/ML models into the platform, automate routine operations, and establish monitoring systems to maintain platform health and reliability.
Key Responsibilities
Design, deploy, and manage infrastructure using Terraform, with a focus on scalability, security, and reliability. Develop and maintain infrastructure-as-code scripts to automate resource provisioning and configuration. Apply infrastructure-as-code best practices to support version-controlled and repeatable deployments. Implement and manage Kubernetes clusters for containerized applications. Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments. Use scripting languages such as Python to automate routine tasks and streamline workflows. Implement CI/CD pipelines to support efficient software delivery. Integrate infrastructure components with CI/CD pipelines. Design, deploy, and maintain scalable, reliable infrastructure for AI/ML platforms. Use Docker and Kubernetes to deploy and manage AI/ML applications. Ensure containerized applications are secure, scalable, and easy to deploy. Integrate AI/ML models into the platform while maintaining efficient and reliable data pipelines. Establish monitoring and alerting systems to track AI/ML platform health and performance. Apply security best practices to AI/ML platforms to support data privacy and compliance with applicable industry standards.
Required Qualifications
Hands-on experience with Terraform, Kubernetes, and Azure is relevant to the core responsibilities of this role. Experience with infrastructure as code, automation, containerized applications, and CI/CD pipelines is needed to perform the listed duties. Python or a similar scripting language is relevant to automating platform operations. Experience supporting AI/ML infrastructure, deployment workflows, monitoring, and platform security aligns with the role's responsibilities.
Preferred Qualifications
No separate preferred skills were specified in the original job description. Contract Details and Compensation Work Arrangement: Remote Contract Duration: 12 months Position: Platform Engineer – Kubernetes / Terraform / Azure Rate: DOE (Depends on Experience) Equal Opportunity Statement No equal opportunity statement was provided in the original job description.