Senior AI Infrastructure Engineer

Candidate,

Hungry Bird IT Consulting Services Pvt Ltd.

Senior AI Infrastructure Management Engineer

Job Title: Senior AI Infrastructure Management Engineer

Location:

Job Summary:

Senior AI Infrastructure Management Engineer

Key Responsibilities:

Linux System Expertise

• Manage and optimize Linux systems (CentOS, Ubuntu, Red Hat)
• Perform kernel tuning, file system configuration, and network optimization
• Develop shell scripts for automation and system management.

Cloud Infrastructure (AWS & Azure)

• Design and implement secure, scalable cloud architectures on AWS and Azure
• Use services like EC2, S3, Lambda, Azure VMs, Blob Storage, and Functions
• Manage hybrid and multi-cloud environments and ensure seamless integration

Infrastructure as Code (IaC)

• Automate infrastructure provisioning using

  Terraform

  ,

  CloudFormation

  , or similar tools
• Maintain infrastructure versioning and ensure traceability of changes
• Enforce DevSecOps best practices and secure configurations

AI/ML Infrastructure Management

• Deploy and manage cloud infrastructure for AI/ML workloads including GPUs
• Scale resources (GPU/CPU) for training and inference workloads
• Deploy AI/ML apps using

  Docker

  and

  Kubernetes

• Ensure high availability, performance, and reliability of AI applications
• Work on MLOps/AIOps pipelines for model deployment and monitoring
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field
• 6+ years of experience in Infrastructure/Cloud/DevOps roles
• Strong experience with

  AWS

  ,

  Azure

  , and

  Linux systems

• Experience in AI/ML infrastructure setup and management
• Proficient in scripting:

  Python

  ,

  Bash

  ,

  PowerShell

• Hands-on with

  Kubernetes

  ,

  Docker

  , and cloud-native services
• Experience with DevSecOps principles and CI/CD tools
• Certifications (preferred):
• AWS Solution Architect Associate / Cloud Practitioner
• Azure DevOps Engineer / Administrator
• Certified Kubernetes Administrator (CKA)
  

Preferred Skills:

• Experience with

  GPU cluster management

  for AI workloads
• Strong knowledge of cloud security and compliance
• Familiarity with real-time monitoring and logging tools
• Exposure to modern data stacks and AI lifecycle management
  

What We Offer:

• Work on high-impact, global AI infrastructure projects
• Access to continuous learning via online platforms and sponsored certifications
• Participate in Tech Talks, Hackathons, and R&D initiatives
• Comprehensive benefits: health insurance, retirement plans, flexible hours
• Supportive work environment promoting innovation and personal growth

aradhana@hungrybird.in

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Thanks and Regards

Aradhana

+91 9959417171

aradhana@hungrybird.in