AWS Infra

Location: Prakāshamnagar

Job Title:

AWS Infrastructure Engineer (Generative AI Platform Support)  Location  Hyderabad, Telangana, India

Key Responsibilities  As an AWS Infrastructure Engineer focusing on Generative AI Platform Support, you will:
Cloud Infrastructure Management:  Provide technical support for our Generative AI platform, with a strong focus on the integration of cloud infrastructure deployment and ongoing maintenance.
Resilience & Scalability:  Assess and enhance the AI platform's cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies. Ensure the scalability and fault tolerance of AI/ML models within cloud environments.
Performance Optimization:  Identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization. Optimize cloud resource utilization on AWS for real-time use cases, including AI model deployment.
Dev Ops

Collaboration:

Work closely with the Dev Ops team on improving cloud deployment processes and managing AWS infrastructure.
Automated Testing:  Implement automated testing to simulate fault tolerance and ensure high availability of the platform.
Technical Support:  Provide ongoing technical support for users of the Generative AI platform, troubleshooting issues and responding to queries to ensure seamless operations.
Monitoring & Cost Optimization:  Monitor cloud platform performance on AWS, identifying and implementing optimization strategies to improve cost efficiency and scalability.
AWS Services Utilization:  Work hands-on with various AWS cloud services (e.g., EC2, S3, Lambda, VPC) to ensure proper configuration management and performance.
Documentation:  Document key processes, issues, and solutions for knowledge sharing and future reference.
Continuous Learning:  Stay updated with industry trends in Generative AI, cloud technologies, and AWS cloud administration.
Mandatory Skills & Experience  Technical Proficiency:
AWS Cloud Administration:  Expertise in  AWS Cloud Administration  and Infrastructure management.
AWS Services:  Hands-on experience with  AWS cloud services  including  EC2, S3, Lambda, VPC .
Cloud Infrastructure & Data Pipelines:  Proven ability to assess and enhance cloud infrastructure and data pipeline resilience using AWS and cloud-based technologies.
Scalability & Fault Tolerance:  Experience ensuring scalability and fault tolerance of AI/ML models within cloud environments.
Performance Optimization:  Ability to identify and resolve bottlenecks in model inference and training pipelines, focusing on performance and resource optimization.
Resource Optimization:  Experience optimizing cloud resource utilization on AWS for real-time use cases.
Automated Testing:  Ability to implement automated testing to simulate fault tolerance and ensure high availability.
Monitoring:  Experience monitoring cloud platform performance on AWS.
Experience &

Qualifications:

Proven experience in providing technical support for AI platforms with a focus on cloud infrastructure.
Demonstrated ability to collaborate with Dev Ops teams on cloud deployment processes and AWS infrastructure management.
Essential Professional Skills   Strong  troubleshooting skills  for technical issues.
Ability to  collaborate effectively  with cross-functional teams.
Strong  communication skills  for technical support and knowledge sharing.
Proactive approach to  identifying and implementing optimization strategies .