
Senior AI Infrastructure Engineer
3 days ago
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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