The AWS Administrator will manage and optimize AWS infrastructure, incorporating Big Data Analytics, AI/ML, RPA, and API integrations to streamline cloud operations. Leveraging AWS Bedrock for intelligent resource management and automation, this role will focus on implementing scalable, cost-effective solutions that incorporate AI-driven insights for infrastructure optimization, security, and compliance.
AWS Infrastructure Management & Automation:
- Manage and optimize AWS cloud services (EC2, S3, RDS) and implement AI-powered automation using AWS Bedrock and GenAI.
- Automate resource provisioning, scaling, and fault detection using AI models and RPA solutions to improve infrastructure efficiency.
- Integrate Big Data pipelines for processing large datasets within AWS, ensuring optimal performance and scalability.
Big Data Integration for Cloud Operations:
- Implement Big Data solutions (e.g., Hadoop, Spark) to handle and process large-scale data analytics, improving resource allocation and system optimization on AWS.
- Use AI models to analyze AWS logs and performance metrics to predict and prevent system failures, automating remediation tasks via RPA.
AI and Machine Learning Integration:
- Integrate ML/DL models and AWS Bedrock into cloud infrastructure management for predictive analytics, anomaly detection, and proactive scaling.
- Leverage Bedrock to deploy and manage AI models that optimize cloud performance, reduce downtime, and enhance security.
API Integrations for Automation:
- Design and implement API integrations between AWS services and third-party tools for automation, monitoring, and resource management.
- Integrate AI/ML models with APIs to create a more intelligent cloud management solution that automatically adapts to usage patterns and workloads.
Security & Compliance Automation:
- Use AI-driven security models and RPA to automate the detection of vulnerabilities, compliance monitoring, and remedial actions within AWS environments.
- Leverage AWS Bedrock for secure AI model deployment and data handling in compliance with regulatory requirements (HIPAA, GDPR).
Cost Management & Reporting:
- Implement AI models to forecast cloud usage, optimize resource allocation, and manage AWS costs effectively.
- Automate cost reporting and reconciliation using RPA tools, integrating them with AI for actionable insights.
- Bachelor’s/Master’s in Information Technology, Computer Science, or a related field.
- 5+ years of experience in AWS administration, with expertise in Big Data Analytics, AI, and RPA.
- AWS Certified Solutions Architect or AWS Certified SysOps Administrator is preferred.
- Familiarity with AWS Bedrock, Big Data tools (e.g., Hadoop, Spark), and AI-driven cloud automation.
Technical Expertise:
- Deep knowledge of AWS services (EC2, S3, RDS, Lambda, VPC) and Big Data solutions (e.g., Redshift, EMR).
- Experience with AI/ML models, particularly in resource optimization, anomaly detection, and predictive scaling.
- Strong understanding of RPA tools (e.g., UiPath, Automation Anywhere) for automating cloud infrastructure tasks.
- Familiarity with AWS Bedrock for deploying AI-driven automation solutions.
- Experience with API integration for cloud management and automation.
Skillset:
- Strong troubleshooting and problem-solving skills, with the ability to integrate AI/ML models into cloud operations.
- Excellent communication skills, especially in explaining complex cloud architectures and AI solutions to non-technical teams.
- Familiarity with cloud cost optimization and Big Data platforms for scalable infrastructure management.
- Ability to design and implement secure, AI-driven cloud infrastructures using RPA and API integrations.
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