LogicGo Infotech logo

DevOps Engineer (GPU & AI Infrastructure Specialist)

2 years

0 Lacs

surat gujarat india

Posted:8 hours ago| Platform: Linkedin logo

Apply

Skills Required

devops ai scaling model engineering cuda automate aws scalability monitoring docker kubernetes ml linux server management mlflow github

Work Mode

Remote

Job Type

Full Time

Job Description

Company:

Location:

Experience:


Are you passionate about scaling AI infrastructure and optimizing GPU-powered environments?

DevOps Engineer

🔧

Key Responsibilities:

  • Setup, configure, and optimize

    GPU environments (NVIDIA, CUDA, TensorRT, etc.)

  • Manage

    CI/CD pipelines

    for AI and backend projects
  • Automate cloud deployments on

    AWS / DigitalOcean / GCP

  • Ensure

    system scalability, monitoring, and high availability

  • Collaborate with backend and AI teams for seamless integration
🧠

Requirements:

  • Minimum

    2 years of DevOps experience

  • Strong hands-on with

    Docker, Kubernetes, and GPU servers

  • Experience with

    AI/ML model deployment

    workflows
  • Familiar with

    Linux server management & cloud platforms

  • Bonus: Experience with

    MLOps tools

    like MLflow, Kubeflow, or Airflow


Interested?

Apply now and be part of Logicgo’s innovation journey!

👉 [Send your resume] or DM us with your GitHub/LinkedIn profile.


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