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Kubernetes Administrator/Infrastructure Platform Engineer – Remote
Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98101, USA
Listed on 2026-09-04
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
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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