Direct Client - Sr DevOps Engineer - Kubernates AIML Experience
Direct Client - Sr DevOps Engineer - Kubernates AIML Experience
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Role: Direct Client Sr DevOps Engineer Kubernates & AI/ML Experience
Location: Hybrid (SeattleWA)
Duration: 12 months
Job Description:
We are seeking a sed Infrastructure and DevOps Engineer to join our dynamic team. The ideal candidate will have expertise in designing deploying and managing infrastructure solutions using Terraform with a focus on scalability security and reliability. The successful candidate will play a crucial role in automating provisioning and configuration tasks implementing CI/CD pipelines and ensuring the seamless integration of AI/ML platforms.
Experience level: 10 Yrs
Top ss:
- Terraforms ( Migrating from ARM/PowerS to Terraforms)
- Managing Kubernetes & deploying Microservices
- Scripting language like Python for automations
Nice to have:
- Deployment of Azure cognitive services ( GenAI projects environments )
- Working in AI/ML Project as platform engineer facilitating deployments and automations
Responsibilities:
- 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 versioncontrolled repeatable deployments using IaC best practices.
- 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 AI/ML platforms.
- Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
- Ensure containerized applications are secure scalable and easily deployable.
- Enable seamless integration of AI/ML models into the platform ensuring efficient and reliable data pipelines.
- Elish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
- Implement security best practices for AI/ML platforms ensuring data privacy and compliance with industry standards.
Requirements:
- Proven experience in designing and managing infrastructure using Terraform.
- Strong expertise in Kubernetes Docker and container orchestration for deploying and managing applications.
- Proficiency in scripting languages such as Python for automation.
- Experience implementing CI/CD pipelines for efficient software delivery.
- Familiarity with infrastructure as code (IaC) best practices.
- Prior experience in designing and maintaining scalable and reliable infrastructure for AI/ML platforms.
- Knowledge of security best practices for AI/ML platforms ensuring data privacy and compliance.
- Strong collaboration and communication ss with the ability to work effectively in a remote team.
Employment Type
Full Time
