AWS DevOps & Cloud Infrastructure Specialist

Hi, I'm Mohammed Uvaise

Qualified for

Results-focused AWS DevOps Engineer skilled in building end-to-end CI/CD pipelines, provisioning scalable cloud infrastructure via Terraform, administering Linux servers, and automating deployment workflows with Docker, Kubernetes, and Shell/Python scripting.

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About Me

Professional Summary

I am an AWS DevOps Engineer with a Computer Science & Engineering background (B.E. First Class Distinction, 7.68 CGPA) and hands-on expertise in Cloud infrastructure provisioning, Linux administration, and CI/CD automation.

My engineering focus centers on solving operational bottlenecks: containerizing applications with Docker, orchestrating builds via Jenkinsfile & GitHub Webhooks, writing reusable Terraform infrastructure modules, and maintaining system health through CloudWatch and PagerDuty monitoring.

Additionally, I possess strong analytical precision in data formatting, text parsing, and Python automation scripts, making me highly effective in data annotation and dataset verification for AI models.

Infrastructure as Code CI/CD Automation Container Orchestration Linux Administration Cloud Troubleshooting System Monitoring AI Data Annotation

Recruiter Overview

Status: Open for DevOps, Cloud, Linux & AI Roles

Location: Bangalore, Karnataka, India

mohammeduvaise44@gmail.com

+91 6360398226

B.E. Computer Science (7.68 CGPA)

Skills & Technical Matrix

Linux Administration

Server management, user & group permissions, package managers (apt, yum), filesystem hierarchy, system troubleshooting.

Shell Commands & Utilities

Grep, sed, awk, systemctl, journalctl, netstat, SSH key management, cron jobs automation.

DevOps Principles

Continuous Delivery workflows, automated build lifecycles, environment isolation, deployment troubleshooting.

Microservices Architecture

Decoupled service deployment, port mapping, target group routing, configuration management.

Amazon Web Services

EC2 instances, IAM Users & Roles, VPC Networking, S3 Bucket Storage, CloudWatch, Security Groups, ALB.

Microsoft Azure & GCP

Multi-cloud awareness: Virtual Machines, IAM roles, Cloud Storage bucket fundamentals.

Docker

Dockerfile multi-stage builds, container isolation, port bindings, layer optimization.

Docker Hub & Kubernetes

Image tag versioning, Docker Hub repositories, Kubernetes pod orchestration and cluster basics.

Jenkins & Pipelines

Jenkinsfile declarative pipelines, automated build/test steps, credential management, post-build triggers.

GitHub Webhooks & Maven

Automated pipeline triggers per code commit, Maven build lifecycle, JAR/WAR package generation.

Terraform & TF Cloud

HCL syntax, reusable infrastructure modules, state file management, AWS resource provisioning.

Ansible, CloudFormation & Chef

Ansible playbooks for server configuration, AWS CloudFormation templates, Chef cookbooks.

Git & GitHub

Version control, branching strategies, commit history, pull request code reviews, GitHub Repositories.

AWS CloudWatch

Infrastructure metrics, Log Groups, Alarm thresholds, EC2/S3 monitoring for full environment visibility.

PagerDuty

Incident alert routing, service health notifications, automated on-call event escalation hooks.

Bash / Shell Scripting

Automated deployment scripts, log cleaning tasks, environment setup scripts, cron schedules.

YAML & JSON

Structured configuration files, Kubernetes manifests, Ansible playbooks, CloudFormation templates.

Python (Automation Basics)

Deployment automation scripts, data manipulation, file processing, REST API scripting.

Java / Maven Build Tooling

Maven compilation, POM.xml dependency configuration, Java Web App deployment on Apache Tomcat.

AWS S3 Object Storage

Application data storage, static website asset hosting, bucket policy security, IAM access controls.

Cloud Storage & Data Fundamentals

Block storage (EBS), persistence concepts, key-value data structures, backup lifecycle basics.

Ubuntu & Amazon Linux

Primary production environments for EC2 instances, server administration, security patching.

Windows Operating Systems

Desktop administration, CLI environment execution, cross-platform deployment verification.

Data Labeling & Text Classification

High-accuracy textual data annotation, intent categorization, prompt verification for LLM/AI training.

Python Data Parsing & QA Validation

Text parsing with Python scripts & regex, dataset validation, quality control audit protocols.