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Kubernetes Administrator​/Infrastructure Platform Engineer – Remote

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98101, USA
Listing for: Staffing
Remote/Work from Home position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, Data Engineering
Job Description & How to Apply Below
Position: Kubernetes Administrator / Infrastructure Platform Engineer – 100% Remote

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 Dev Ops
  • 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
  • Experience to take KT from offshore
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