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AWS Administrator

Credence Global Solutions
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Cloud infrastructure
Computer Science
Big data
Spark
Master's degree
AWS
Bachelor's degree
Machine learning
APIs
S3
Redshift
AI
RDS database
Communication skills
AWS Certified Solutions Architect – Professional
Hadoop
Information Technology

Full job description

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.

Kindly Note: At Credence, we uphold the highest standards of integrity in our recruitment process. We do not charge any fees at any stage of the hiring process, and we strictly prohibit any third parties, vendors, or individuals from soliciting money in exchange for job opportunities at Credence.

If you are approached by anyone requesting payment or offering you a position at Credence in exchange for money, do not engage with them. Such actions are fraudulent and not authorized by Credence. Please report any such incidents immediately to our official HR team at [email protected]

Your safety and trust are important to us. Thank you for helping us maintain a fair and transparent hiring environment.

Job Category: Software Development

Job Type: Full Time

Job Location: Pune IN

Apply Now

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