DevOps / Platform Engineer | Remote

CodeGeniusRecruit; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

CodeGeniusRecruit is looking for a candidate to contribute to training and evaluating AI models in DevOps and platform engineering. The ideal applicant should have strong experience in CI/CD pipelines, cloud infrastructure (AWS, GCP, or Azure), and containerization with Docker and Kubernetes. Excellent communication skills and the ability to work independently in a remote setting are essential. Join us to work on diverse projects aimed at enhancing AI performance.

Qualifications

• Strong experience in CI/CD pipelines and automation workflows.
• Strong experience in cloud infrastructure such as AWS, GCP, or Azure.
• Strong experience in containerization and orchestration using Docker and Kubernetes.
• Strong communication skills with the ability to explain technical concepts clearly.
• Ability to work independently and manage tasks in a remote environment.

Responsibilities

• Contribute to training and evaluating AI models in DevOps and platform engineering.
• Create tasks and deliverables based on real-world infrastructure and deployment scenarios.
• Provide domain-specific feedback to improve AI system performance.
• Work on projects involving CI/CD pipelines, cloud infrastructure, and containerized environments.
• Collaborate on diverse projects with varying scope and duration.

Skills

CI/CD pipelines

Cloud infrastructure (AWS/GCP/Azure)

Containerization and orchestration (Docker/Kubernetes)

Strong communication skills

Job description

• Contribute to training and evaluating AI models in DevOps and platform engineering
• Create tasks and deliverables based on real-world infrastructure and deployment scenarios
• Provide domain-specific feedback to improve AI system performance
• Work on projects involving CI/CD pipelines, cloud infrastructure, and containerized environments
• Collaborate on diverse projects with varying scope and duration

What We’re Looking For

• Strong experience in CI/CD pipelines and automation workflows
• Strong experience in cloud infrastructure such as AWS, GCP, or Azure
• Strong experience in containerization and orchestration using Docker and Kubernetes
• Strong communication skills with the ability to explain technical concepts clearly
• Ability to work independently and manage tasks in a remote environment