Cloud/DevOps Engineer - AWS - Terraform - CI/CD Expert

Hadia Noor

linkedin.com/in/hadianoor/ 714-***-**** ***********@*****.*** github.com/hadia-noor16

Highly skilled Cloud / DevOps Engineer with 3 years of experience in designing, implementing, and managing cloud infrastructure solutions. Proven track record of maintaining high service levels, ensuring cloud security, and implementing cloud-based solutions. Ambitious results-driven DevOps Engineer with expertise in cloud infrastructure management, automation, and CI/CD pipeline development. Proven track record of delivering high-quality solutions using Jenkins, Terraform, AWS, Azure, GitHub Actions, Python, and Docker. Eager to contribute technical expertise and problem-solving skills to ensure seamless cloud operations.

Technical Skills:

Cloud & Infrastructure: AWS EC2, S3, IAM, VPC, Lambda, Cloud Formation, Cloud Front (CDN), Cloud Watch, Route 53, RDS, Azure fundamentals, Azure AI

DevOps Tools: Docker, Terraform, Bash scripting, CI/CD: Jenkins, GitHub Actions, Visual Studio Code (VS Code), Postman, Git, GitHub

Monitoring & Collaboration Tools: Kibana, Splunk, AWS Cloud Watch, ServiceNow, Jira, Confluence, Slack, draw.io

Languages: Python, YAML, JSON, C#, C, JavaScript, HTML

Systems & Administration: Windows Server, Linux (Ubuntu/Debian/Amazon Linux), Active Directory, GPO

Databases: Oracle DB (SQL), MongoDB

Certifications:

AWS Certified Cloud Practitioner, 4/2024

Microsoft Certified – Azure Fundamentals, 01/2025

Professional Experience:

Jr. DevOps Engineer MediaOcean 08/2022 – Present

Deployed infrastructure projects using Terraform and Jenkins/GitHub Actions on AWS, and Linux, demonstrating expertise in infrastructure as code (IaC) and cloud resource management.

Improved release efficiency by initiating and maintaining CI/CD pipelines with GitHub Actions, enabling automated builds, testing, and deployments.

Reduced VM/EC2 operational costs by 30% by building a serverless automation solution with Lambda, API Management, and EventGrid/EventBridge to stop underutilized instances.

Initiate, commit and push code changes to master branch in Git facilitate execution staging and production environments.

Employ SQL/MQL (MongoDB Query Language) to diagnose and troubleshoot backend issues. Utilize advanced log searching and filtering tools in Kibana to identify, track and resolve root source of system anomalies and performance bottlenecks.

Used python automation for DevOps tasks automation like parsing logs and installing packages on multiple servers.

Collaborated with developers and operations teams to troubleshoot production issues, ensuring minimal downtime and fast recovery using tools like CloudWatch.

Support Engineer II New American Funding Oct 2021 – Jul 2022

Served as the first point of contact for loan officers in resolving clients’ issues with mortgage applications. Performed API endpoint testing in Postman. Created Microsoft VS code to run python scripts for automation.

●Maintained service level agreements by quickly resolving tickets, achieving 95% SLA target.

●Utilized database queries (MS SQL) extensively to identify root cause of reported problems.

●Generated defect reports in Azure DevOps to replicate issues while ensuring all product team concerns were addressed.

Education:

Bachelor of Engineering in Telecommunications Jan 2007 – Dec 2010

Key Projects:

AWS two tier infrastructure deployment with Terraform and GitHub Actions.

CI/CD deployment of website sourced from GitHub, all configured via Terraform.

AWS CloudFront deploys a website by passing direct access to S3.

Automatic Shutdown of Dev/Test Servers with AWS Lambda for Cost Savings.

Extracting Website Visit Data into DynamoDB using AWS Lambda, CloudFront, and S3.

Three nodes Docker Swarm cluster.

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