Kubernetes administration and setting up Kubernetes clusters
Hands-on experience with Azure ARM templates
Hands-on experience with Terraform
Strong Python experience to automate routine tasks and streamline workflows
Requirements:
Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
Implement and manage Kubernetes clusters for containerized applications.
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.
Job description
Kubernetes Administrator / Infrastructure Platform Engineer – 100% Remote Location – Seattle WA Start date - ASAP Rate: DOE Candidate work on in PST time zone
Requirements:
Infrastructure Platform Engineer with experience in Kubernetes Administrator/ setting up Kubernetes clusters
Will be migrating Azure Arm templated To Terraform.
Hands on experience with Azure ARM templates
Hands on experience with Terraform
Experience building Kubernetes clusters
Should have experience with Azure DevOps.
Should have strong experience in python
Should have expertise in Python to automate routine tasks and streamline workflows.
Should have strong experience in moving from one monitoring tool to another monitoring tool
Good experience working with offshore teams.
Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
Implement and manage Kubernetes clusters for containerized applications.
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 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/Client platforms.
Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/Client applications.
Ensure containerized applications are secure, scalable, and easily deployable.
Enable seamless integration of AI/Client models into the platform, ensuring data pipelines are efficient and reliable.
Establish monitoring and alerting systems to ensure the health and performance of AI/Client platforms.
Implement security best practices for AI/Client platforms, ensuring data privacy and compliance with industry standards
