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Cloud DevOps Engineer

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Full Remote
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Offer summary

Qualifications:

Proficient in cloud architecture (AWS, GCP, Azure) and containerization., Strong hands-on experience with Docker and Kubernetes for deploying AI applications., Experience with Infrastructure as Code (IaC) tools like Terraform and CloudFormation., Knowledge of CI/CD pipelines and GPU-based infrastructure for AI training..

Key responsabilities:

  • Deploy and manage AI/ML workloads across AWS, GCP, and Azure.
  • Implement and manage CI/CD pipelines for AI model deployment.
  • Configure Docker/Kubernetes environments for scalable model inference.
  • Maintain cloud security and compliance while monitoring best practices.

Diffco logo
Diffco SME https://diffco.us/
51 - 200 Employees
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Job description

This role requires a Cloud DevOps Engineer responsible for managing infrastructure, deploying scalable AI workloads, and handling CI/CD pipelines. The candidate should be proficient in cloud architecture (AWS, GCP, Azure), containerization, and Kubernetes-based deployment. Additionally, they should be comfortable managing hybrid AI workloads, where training is done on-prem while inference is deployed in the cloud.

Key Responsibilities:

  • Deploy and manage AI/ML workloads across AWS, GCP, and Azure.
  • Optimize on-prem GPU-based training infrastructure (NVIDIA Inception setup).
  • Implement and manage CI/CD pipelines for AI model deployment.
  • Configure Docker/Kubernetes environments for scalable model inference.
  • Maintain cloud security and compliance, as well as monitor best practices.
  • Work with IaC (Terraform, CloudFormation, Pulumi) for cloud infrastructure management.
  • Automate cloud scaling, cost optimization, and system reliability.
  • Manage GitOps workflows, ensuring seamless deployments.
  • Set up logging, monitoring, and alerting (Prometheus, Grafana, Datadog) for cloud-based and on-prem AI workloads.

Must-Have Skills & Experience:

  • Strong hands-on experience with AWS, GCP, and Azure cloud environments.
  • Proficiency in Docker and Kubernetes for deploying AI applications.
  • Experience with IaC tools (Terraform, CloudFormation).
  • Strong knowledge of CI/CD pipelines for automating deployments (Jenkins, GitHub Actions, ArgoCD).
  • Familiarity with GPU-based infrastructure for AI training (NVIDIA CUDA, TensorRT).
  • Knowledge of cloud networking, security, and compliance best practices.
  • Experience in monitoring AI workloads and optimizing performance.

We Offer

  • A dynamic and creative work environment with a team of passionate professionals.
  • Opportunities for professional growth and development.
  • Competitive salary and benefits package.
  • Flexible working hours and the possibility for remote work.

Why working at Diffco?

  • You will have the exciting opportunity to work on cutting-edge projects in the Silicon Valley for both US and European clients utilizing the latest technologies, methodologies, frameworks and approaches with the ability and time to learn and develop professionally.
  • Our team is a second family, so you would enjoy spending the day working on nice projects with kind people with broad interests.
  • Learn continuously, expand your skills and demonstrate your professional level and ability to take more responsibility to grow.
  • We care about you and are interested in your personal professional goals, motivation and we build a perfect work/life balance.

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Experience

Spoken language(s):
English
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