Senior AI Infrastructure Engineer

1 day ago

Hyderabad Pune, India Hungry Bird It Consulting Services Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Hello Candidate,

Greetings from Hungry Bird IT Consulting Services Pvt Ltd.

We are hiring Senior AI Infrastructure Management Engineer for our client.

Job Title: Senior AI Infrastructure Management Engineer

Location: Hyderabad

Job Type: Full-Time

Work Mode: Hybrid

Experience Required: 6+ Years

Job Summary:

We are seeking a highly skilled Senior AI Infrastructure Management Engineer with expertise in Azure, AWS, and AI/ML deployment environments. This role demands deep technical knowledge of Linux, DevOps practices, cloud architecture, and AI/ML operations (MLOps/AIOps). The ideal candidate will be responsible for architecting, deploying, and maintaining scalable and secure infrastructure for enterprise AI applications.

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

(Interested candidates can share their CV with us at or reach us at )

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Thanks and Regards

Aradhana

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