Naresh Rajamanickam

[email protected] +918056285538

PROFESSIONAL SUMMARY

Motivated Cloud Engineer with foundational expertise in AWS, Linux, and networking, adept at deploying and managing secure, scalable cloud infrastructures. Proficient in automating workflows using Python and shell scripting to enhance operational efficiency. Demonstrated ability to troubleshoot complex cloud environments and eager to leverage technical skills to drive innovation and reliability in cloud solutions for forward-thinking organizations.

WORK EXPERIENCE

SENIOR DESKTOP SUPPORT ENGINNER
05/2023 - Present
Inspace Technologies Private Limited , Chennai
Assisted in deploying and managing AWS services—EC2, S3, RDS, IAM, and CloudWatch—for scalable application environments.
Supported automation of infrastructure provisioning and application deployment using Terraform.
Collaborated on internal projects to understand cloud-native architectures and the DevOps lifecycle.
Configured CloudWatch to monitor EC2 instances and set up metric based alerts for system performance.
Implemented IAM roles to securely manage permissions for services and users, reducing access-related issues during deployment.
Installed CloudWatch Agent and created alarms for CPU thresholds, enabling auto-scaling and real-time alerting for proactive resource management.
Configuring, troubleshooting and backing up cloud server mails like ZOHO and netCORE emails in outlook for client.
Using AssetTiger to maintain the company asset, audit, etc.
Addressing the query via the ticketing tools like Shivam Tickets.
Utilized generative AI technologies, including ChatGPT, to improve incident response and automate security processes.

EDUCATION

Sri Venkateswara College of Engineering & Technology
08/2011 - 05/2015
Anna University Of Technology GPA: 6.2

SKILLS

Technical Skills: AWS, Cloud Computing, Linux, Windows, Git, Git Hub

PROJECTS

Scalable & Secure Web Application Deployment on AWS
Deployed a web application on AWS using EC2, RDS (MySQL), S3, IAM, and
ELB, ensuring high availability and reducing downtime risk.
Configured EC2 Auto Scaling with an Application Load Balancer to handle
traffic spikes and maintain performance across 5+ instances.
Implemented IAM roles to securely manage permissions for services and
users, reducing access-related issues during deployment.
Installed CloudWatch Agent and created alarms for CPU thresholds, enabling
auto-scaling and real-time alerting for proactive resource management.

CERTIFICATIONS

SAWIT.AI Learnathon
12/2024
GUVI HCL
Cloud Computing
11/2025
Besant Technologies

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