Cloud & DevOps Engineer - Azure/AWS/GCP Expert

Shamila Mehmood

Cloud & DevOps Engineer Woodbridge, NJ

***************@*****.*** 973-***-**** www.linkedin.com/in/shamila-g-mehmood

Professional Summary

8+ years of experience as a Cloud & DevOps Engineer designing, automating, and operating scalable infrastructure across Azure, AWS, and GCP environments.

Proven expertise in CI/CD pipeline design and implementation using Azure DevOps, Jenkins, GitHub, and YAML pipelines to support microservices and infrastructure deployments.

Strong hands-on experience with containerization and orchestration using Docker, Kubernetes, AKS, EKS, and ECS, including Helm-based deployments and auto-scaling strategies.

Extensive background in Infrastructure as Code (IaC) using Terraform, ARM templates, and CloudFormation for consistent, repeatable cloud provisioning.

Skilled in cloud-native architecture, migrating monolithic applications to microservices and implementing blue-green and canary deployment strategies.

Deep knowledge of Azure and AWS services, including networking, security, monitoring, storage, and compute (VPC/VNet, IAM/RBAC, EC2/VMs, Load Balancers, AKS, ACR, S3, RDS).

Strong experience in DevSecOps practices, integrating security, code quality, and vulnerability scanning tools such as SonarQube and WhiteSource into CI/CD pipelines.

Proficient in monitoring, logging, and observability using Azure Monitor, CloudWatch, Prometheus, Grafana, Splunk, ELK Stack, and Dynatrace.

Hands-on automation experience using Python, Bash, PowerShell, Ansible, Chef, and Puppet to streamline operations and reduce manual intervention.

Solid understanding of Linux and Windows systems administration, application servers, and database platforms across Dev, QA, and Production environments.

Experienced in Agile and DevOps methodologies, collaborating with development, QA, and security teams to deliver reliable, high-availability cloud solutions.

Demonstrated ability to lead cloud migrations, optimize performance, enhance reliability, and control costs in enterprise-scale environments.

Technical Skills

Cloud

AWS (EC2, S3, RDS, CloudFormation, CloudWatch), Azure (VMs, App Services, ARM Templates), GCP.

Automation & DevOps

Terraform, Ansible, Chef, Puppet, Jenkins, GitHub

Containers

Docker, Kubernetes, ECS, EKS

Version Control

Git, GitHub, SVN, TFS

Scripting

Python, Bash, Shell, C, C++, SQL, Node.js, .NET, HTML, JavaScript, Angular JS

Build & Monitoring

Maven, Prometheus, Grafana, Splunk, Cloud Watch,Splunk, ELK Stack, Dynatrace.

Version Control

Git, GitHub, SVN, TFS

Web & Application Servers

Apache, Tomcat, WebLogic, IIS

Operating Systems

RHEL, CentOS, Ubuntu, UNIX

Databases

SQL Server, Oracle, PostgreSQL, MongoDB

Other Tools

Nexus, SonarQube, JIRA, VMware,

Networking & Protocols

DNS, HTTP/HTTPS, NFS, IPv4/IPv6

Professional Experience

Client: EY – Woodbridge, NJ Duration: Apr 2022 – Present

Role: Azure Cloud Engineer

Responsibilities:

●Designed and implemented end-to-end CI/CD pipelines using Azure DevOps Services, automating build, test, and deployment workflows for microservices and infrastructure components.

●Provisioned and managed Azure Kubernetes Service (AKS) clusters to host containerized applications, ensuring high availability, scalability, and secure access via RBAC and Azure AD integration.

●Containerized legacy applications using Docker, created Helm charts for deployment, and orchestrated rollouts and rollbacks in AKS environments.

●Integrated Azure Repos for source control and enforced Git branching strategies, pull request policies, and code reviews to maintain code quality and traceability.

●Developed and maintained YAML-based Azure Pipelines for infrastructure provisioning, application deployment, and automated testing across dev, staging, and production environments.

●Automated infrastructure provisioning using Terraform and ARM templates, enabling consistent and repeatable deployments across Azure subscriptions.

●Configured and monitored Azure Monitor, Log Analytics, and Application Insights to track performance metrics, detect anomalies, and optimize resource utilization.

●Managed Azure resources including Virtual Networks, Storage Accounts, Key Vaults, Load Balancers, and Application Gateways to support secure and scalable cloud architectures.

●Implemented DevSecOps practices by integrating security scanning tools (e.g., SonarQube, WhiteSource) into CI/CD pipelines to identify vulnerabilities early in the development lifecycle.

●Led migration of monolithic applications to microservices architecture hosted on AKS, improving deployment agility and fault isolation.

●Developed PowerShell and Python scripts to automate operational tasks such as resource cleanup, log aggregation, and pipeline execution.

●Configured Azure Container Registry (ACR) for secure image storage and integrated it with AKS for seamless container deployments.

●Collaborated with development and QA teams to implement blue-green and canary deployment strategies using AKS and AWS Traffic Manager.

●Used Azure Policy, Role-Based Access Control (RBAC), and Managed Identities to enforce governance and secure access to cloud resources.

●Monitored AKS cluster health and performance using Prometheus and Grafana, and implemented auto-scaling based on CPU and memory thresholds.

●Participated in sprint planning and backlog grooming using Azure Boards, aligning DevOps initiatives with agile delivery cycles.

Client: Prudential Financials – Newark, NJ Duration: Jan 2019 – Feb 2022

Role: AWS Cloud DevOps Engineer

Responsibilities:

●Designed and automated AWS infrastructure using CloudFormation for VPCs, subnets, and NAT configurations supporting web and database deployments.

●Created and managed IAM roles, policies, and groups to implement secure access control.

●Deployed and maintained EC2 instances, EBS volumes, and S3 for scalable compute and storage solutions.

●Configured CloudFront for global content delivery and reduced latency across distributed systems.

●Implemented message queuing with SQS, SNS, and automated alerts through CloudWatch.

●Migrated VMware virtual machines to AWS and managed core services including EC2, S3, RDS, ELB, Route53, and VPC.

●Developed Python Lambda scripts to automate EC2 lifecycle operations via scheduled CloudWatch events.

●Streamlined CI/CD pipelines using Jenkins, Git, and Maven, enabling continuous integration and automated deployments.

●Installed and configured Nexus for artifact management and SonarQube for automated code quality analysis.

●Utilized Chef for infrastructure automation, developing cookbooks, test-kitchen specs, and refactoring OpsWorks configurations.

●Managed configuration and release strategies with Git/Subversion, ensuring smooth Dev/QA/Prod deployments.

●Built and maintained Docker images and containers; implemented scaling strategies using Docker Compose, Hub, and Registry.

●Deployed containerized microservices on Kubernetes, managing pods, services, health checks, and ingress via YAML manifests.

●Automated Kafka cluster provisioning using Terraform, dynamically creating EC2 instances with EBS volumes across regions.

●Authored Ansible playbooks and roles to automate AWS provisioning, server builds, and service configurations.

●Used Ansible for ELK stack deployments (Elasticsearch, Logstash, Kibana) and for system configuration management on OpenStack and AWS.

●Integrated Ansible with Python scripts to manage EC2 instances and automate SQL Server/MySQL installations.

●Installed and administered application servers (WebSphere, Apache, IIS, Tomcat) across RHEL environments for Dev, QA, and Production.

●Installed and configured Splunk for centralized log monitoring; deployed forwarders across all nodes for real-time visibility.

●Customized and maintained JIRA projects including workflows, fields, and permissions to streamline Agile processes.

Client: Bloomberg LP – Princeton, NJ Duration: July 2017 – Dec 2018

Role: Cloud Operations Engineer

Responsibilities:

●Configured Azure IaaS and PaaS environments using ARM templates, Availability Sets, and Scale Sets to ensure application resiliency and efficient traffic management.

●Deployed and managed Azure Backup, App Services, Application Gateway, DNS, Traffic Manager, and Network Watcher for secure, scalable cloud operations.

●Migrated and deployed applications to Azure VNets and implemented monitoring using OMS dashboards and Application Insights.

●Installed, configured, and administered VMware ESXi 5/5.5, vCenter Server, and enabled HA/DRS, vMotion, and Storage vMotion for high availability.

●Managed Windows and Linux VMs across data centers; installed and maintained IIS, Apache, and Tomcat web servers in multi-environment setups.

●Configured and supported RHEL, CentOS, Debian, and SUSE servers, including services like DNS, LDAP, NFS, NIS, and email systems.

●Installed and managed PostgreSQL and MongoDB databases; optimized storage using LVM disk management.

●Automated CI/CD pipelines with Jenkins, integrating Git/SVN for source control and managing Dev/QA/Prod branching workflows.

●Containerized applications using Docker and automated deployments via Ansible; orchestrated services using Kubernetes for scalability.

●Implemented ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging and analytics, integrated with Nginx reverse proxy.

●Built and packaged applications using Maven; automated build and deployment tasks with Perl and Bash scripts.

●Leveraged Chef for infrastructure automation—created cookbooks and recipes for provisioning Cassandra DB and middleware environments.

●Managed deployments with uDeploy, ensuring consistency and dependency control across environments.

●Worked on Google Cloud Platform (GCP) services—Compute Engine, VPCs, and Auto Scaling—to build hybrid, fault-tolerant systems.

●Automated cloud configurations and optimized infrastructure for performance, scalability, and cost efficiency.

Education

●Master of Science – Human Resources Management, Long Island University, Brooklyn, NY May 2016

●Bachelor of Science – Industrial/Organizational Psychology, Hunter College, CUNY, NY Jan 2012

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