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Systems / Infrastructure Engineering role supporting AI/ML

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Systems / Infrastructure Engineering role supporting AI/ML

Iitjobs Inc.

Systems / Infrastructure Engineering role supporting AI/ML

Skills

Google Cloud PlatformDockerMachine LearningAIAWSAnsibleLinuxKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

7 September 2026

What they need


Systems / Infrastructure Engineering role supporting AI/ML

Experience: 2 to 4 Years
Location: [India]
Work Mode: [Remote]

Job Description

iitjobs is looking for a Systems / Infrastructure Engineering role supporting AI/ML with a strong understanding of server infrastructure, system architecture, and Linux-based environments. The ideal candidate will help design, deploy, maintain, and scale the backend infrastructure powering Clients platform, with a focus on reliability, performance, and security.

Key Responsibilities

  • Design, deploy, configure, and maintain server infrastructure supporting Client's platform.
  • Work with bare-metal servers, compute infrastructure, storage, and networking.
  • Administer and troubleshoot Linux-based systems and server environments.
  • Support and optimize infrastructure for compute-intensive workloads, including ML inference and scientific computing.
  • Monitor system performance, troubleshoot infrastructure issues, and improve reliability and scalability.
  • Collaborate with engineering teams on system architecture, capacity planning, and infrastructure automation.

Required Skills

  • 2 to 4 years of experience as a Systems Engineer, Infrastructure Engineer, Server Engineer, or similar role.
  • Strong understanding of server administration and system architecture.
  • Hands-on experience with Linux-based systems.
  • Good understanding of network architecture, TCP/IP, DNS, routing, and firewalls.
  • Understanding of bare-metal infrastructure and physical server environments.
  • Experience supporting compute-intensive workloads, such as ML inference, AI workloads, HPC, or scientific computing.

Good to Have

  • Experience with GPU servers / NVIDIA infrastructure.
  • Exposure to Docker, Kubernetes, Terraform, Ansible, or other infrastructure automation tools.
  • Familiarity with cloud infrastructure such as AWS, Azure, or GCP.
  • Experience working with high-performance computing or AI/ML infrastructure.

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Interested candidates, please share your resumes with [email protected]

Thanks and Regards,

Janaki
iitjobs, Inc.

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