Address
Form of workJob Description
Platform Engineer - Kubernetes / Terraform / Azure
Location – Seattle, WA (remote - PST)
Position Type: Contract
US Citizen, Green Card,TN, GC EAD and H4 EAD only No Third-party agencies.
Responsibilities:
Qualifications:
Location – Seattle, WA (remote - PST)
Position Type: Contract
US Citizen, Green Card,TN, GC EAD and H4 EAD only No Third-party agencies.
Responsibilities:
- Design, deploy, and manage infrastructure solutions using Terraform, focusing on scalability, security, and reliability.
- Develop and maintain infrastructure as code scripts to automate resource provisioning and configuration.
- Implement best practices for version-controlled, repeatable deployments using Infrastructure as Code (IaC).
- Manage and implement Kubernetes clusters for containerized applications.
- Collaborate with development teams to deploy, scale, and optimize applications within Kubernetes environments.
- Utilize scripting languages, such as Python, to automate routine tasks and streamline workflows.
- Ensure the seamless integration of infrastructure components with Continuous Integration/Continuous Deployment (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 the security, scalability, and easy deployability of containerized applications.
- Facilitate the integration of AI/Client models into the platform, ensuring efficient and reliable data pipelines.
- Establish monitoring and alerting systems to ensure the health and performance of AI/Client platforms.
Qualifications:
- Proven experience in designing and managing infrastructure solutions using Terraform.
- Strong proficiency in developing and maintaining Infrastructure as Code (IaC) scripts.
- Experience in managing Kubernetes clusters for containerized applications.
- Proficient in scripting languages, particularly Python, for automation.
- Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI/Client applications.
