GlobalPoint
Overview
Platform Engineer Seattle, WA based client. 4 days in office is required. Need redacted/masked drivers license copy along with submission. Need visa copy if candidate requires Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability. Develop and maintain infrastructure as code scripts to automate provisioning and configuration of resources. 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 data platforms. Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing data applications. Ensure containerized applications are secure, scalable, and easily deployable. Establish monitoring and alerting systems to ensure the health and performance of data platforms. Implement security best practices for data platforms, ensuring data privacy and compliance with industry standards. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Note: The original posting contained additional job listings and postings; those have been removed to preserve focus on the Platform Engineer role, responsibilities, and qualifications. #J-18808-Ljbffr
Platform Engineer Seattle, WA based client. 4 days in office is required. Need redacted/masked drivers license copy along with submission. Need visa copy if candidate requires Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability. Develop and maintain infrastructure as code scripts to automate provisioning and configuration of resources. 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 data platforms. Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing data applications. Ensure containerized applications are secure, scalable, and easily deployable. Establish monitoring and alerting systems to ensure the health and performance of data platforms. Implement security best practices for data platforms, ensuring data privacy and compliance with industry standards. Seniority level
Entry level Employment type
Full-time Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Note: The original posting contained additional job listings and postings; those have been removed to preserve focus on the Platform Engineer role, responsibilities, and qualifications. #J-18808-Ljbffr