DevOps & Cloud Engineer - AWS & Multi-Cloud Expert

Salman Ejaz

DevOps & Cloud Engineer

Email: **********.***@*****.*** LinkedIn: Salman-Ejaz Phone: +92-310******* PROFESSIONAL SUMMARY

Cloud & DevOps Engineer with 3+ years of experience in designing, automating, and managing AWS-based and multi-cloud infrastructures. Skilled in building CI/CD pipelines using Jenkins and GitHub Actions, containerizing applications with Docker and Kubernetes, and automating infrastructure provisioning with Terraform, Ansible, and CloudFormation. Experienced in configuring and optimizing AWS services and Azure services to deliver hybrid and multi-region deployments. Proficient in implementing monitoring and observability with CloudWatch, Prometheus, Grafana, and Azure Monitor, and improving system performance through automation and cost optimization. Strong background in cloud security, IAM policy management, and delivering scalable, reliable, and compliant multi-cloud solutions. TECHNICAL SKILLS

Cloud Platforms: AWS (EC2, EKS, S3, RDS, Lambda, CloudFormation, CloudWatch), Azure (VMs, AKS, App Service, Azure DevOps).

PaaS & IaaS:

AWS Elastic Beanstalk, EC2 Auto Scaling, AWS Systems Manager, Elastic Load Balancing, Virtual Private Cloud (VPC), Transit Gateway, Azure Kubernetes Service (AKS). CI/CD & DevOps: Jenkins, GitHub Actions, ArgoCD, Terraform, Ansible, Docker, Kubernetes (EKS, AKS), Helm

Observability & Monitoring: Prometheus, Grafana, ELK Stack, Datadog, Loki, Azure Monitor. Security & Compliance: IAM, GuardDuty, AWS WAF & Security Hub, Vault, RBAC, Trivy, Aqua Security, Azure Defender

Databases:

Amazon RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, Azure SQL Database, MongoDB Programming & Scripting: Python, Bash, PowerShell, YAML (IaC scripting) PROFESSIONAL EXPERIENCE

Teams Trak DevOps Engineer Feb 2024– Present

Islamabad PK (Hybrid)

Project Summary: At Teams Trak, I helped modernize and automate cloud infrastructure across AWS and Azure to improve scalability and reliability. I built CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps, and automated provisioning with Terraform and Ansible to ensure consistency across environments. I also enhanced monitoring with Prometheus, Grafana, and CloudWatch, reducing downtime and improving deployment efficiency. Responsibilities:

● Design, configuration, and deployment of AWS infrastructure for multiple applications, prioritizing high availability, fault tolerance, and auto-scaling.

● Built staging and production environments using Terraform Templates, ensuring scalability and fault tolerance across multi-tier AWS environments spanning multiple availability zones.

● Applied essential AWS services, including EC2, Route53, VPC, S3, RDS, CloudFormation, CloudWatch, and IAM to ensure robust cloud environments.

● Managed Terraform workspaces and remote state for safe team work on Azure/Aws setups from dev all the way to prod.

● Built observability stacks using CloudWatch, Prometheus, and Grafana with proactive alerting and dashboards to minimize downtime.

● Defined Backup and disaster recovery strategies using AWS Backup, S3 Cross-Region Replication and lifecycle rules.

● Configured AWS Elastic Load Balancers (ELB) for auto-scaling based on application traffic patterns and managed multi-tier and multi-region architectures using AWS CloudFormation, ensuring high availability and scalability of our applications.

● Added Iac change controls, audits, decision logs, and auto-drift checks for kubernetes updates, nodes images, and services.

● Set up app platforms like API gateways,Lambda SNS/SQS and eventBridge in pipelines.

● Deployed Azure Application Gateway and Front Door for global traffic management and high availability.

● Configured AWS Elastic Load Balancers (ELB) for auto-scaling based on application traffic patterns and managed multi-tier and multi-region architectures using AWS CloudFormation, ensuring high availability and scalability of our applications.

● Use Ansible to automate our configuration and deployments, which makes sure all our systems are consistent and behave the same way, no matter the environment.

● Automated cost monitoring and optimization using AWS Budgets, Trusted Advisor, and Azure Cost Management, reducing unnecessary spend and improving resource utilization. KPlex Jr. DevOps Engineer Oct 2022 – Jan 2024

Islamabad PK (Onsite)

At KPlex, I contributed to the development and maintenance of secure, efficient AWS environments. I supported automation of infrastructure provisioning, CI/CD pipelines, and containerized deployments using Terraform, Jenkins, and Kubernetes. Collaborating closely with developers and operations teams, I helped streamline release processes, enhance application stability, and strengthen the foundation for scalable cloud deployments. Responsibilities:

● Worked with Linux and AWS support teams to ensure readiness for new product releases and the adoption of emerging technologies, fostering a culture of continuous learning and improvement.

● Deployed high-availability applications using Multi-AZ, Read Replicas, & AWS ECS to ensure reliability & performance.

● Automated deployments with Jenkins, GitHub Actions, and Ansible, cutting errors and manual work.Utilized AWS S3 for scalable and cost-effective storage of big data sets.

● Deployed and managed classic web applications on AWS ECS, configuring Auto Scaling Groups, HTTP Load Balancers, and Auto-Healing policies to maintain performance.

● Provisioned and managed AWS EC2 instances for flexible and scalable computing resources.

● Created and optimized SQL queries for data transformation and analysis.

● Monitored and managed Linux systems in a complex multi-server environment, ensuring their stability, security, and optimal performance to support critical business operations.

● Deployed and managed classic web applications on AWS ECS, configuring Auto Scaling Groups, HTTP Load Balancers, and Auto-Healing policies to maintain performance and reliability during traffic fluctuations.

● Enforced IAM policies, security groups, and network ACLs to restrict access protect sensitive data.

● Utilized AWS S3 for scalable and cost-effective storage of big data sets.

● Build strong communication between internal teams and external clients using various communication channels such as face-to-face meetings, phone calls, emails, web portals, and digital platforms, fostering collaboration and transparency. CERTIFICATIONS

● AWS Cloud Practitioner Essentials

● LFS151: Cloud Infrastructure —The Linux Foundation

● LFS101: Introduction to Linux —The Linux Foundation

● Kubernetes and Docker

● Red Hat Certified Specialist in Linux

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