AWS Administrator

Credence Resource Management
Posted on
Credence Resource Management logo

Experience
5 - 10 yrs
Job Location
Pune, India
Vacancy
1
Designation
AWS Administrator
Job Type
ONSITE

Job Description

AWS Administrator
Product Development
Position Overview
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.
Job Roles Responsibilities 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.
Candidate Requirements
  • 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.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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