Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Kubernetes
Python
Terraform
containerization
continuous
continuous deployment
continuous integration
data pipelines
Collaborate
data privacy
scalability
AKS
AI/ML
Docker
CI/CD
Platform Engineer
Deploy
Job Details
Platform Engineer - Kubernetes / Terraform / Azure
Location Seattle, WA / or in PST time zone.
Duration 12 months
We are looking for a Platform Engineer who has expertise in Azure, AKS and Terraform with an understanding of data. Experience with Terraform should be excellent.
- 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.