•Containerized the backend using Docker and pushed the image to AWS ECR for future rollback if any error occurs.•Increased high availability and efficiency of backend service by using ECS Fargate, successfully configured ECS with an Auto Scaling policy to ensure High Availability.•Increased the web security by using Secrets Manager, NAT, ALB, VPC, NACL and Security Group.•Used ACM SSL certificates for ALB and Cloudfront to improve user experience and security.•Reduced application deployment time by automating the CI/CD process by using Github actions workflows. •Increased the compatibility by using different versions of Node.js in pipelines. Introduced OIDC in Github actions pipeline to improve security. Added Lint test, CodeQL test and Trivy in the pipelines. •Increased the efficiency, consistency and security of resource deployment by Terraform with CI/CD and Terrascan IaC scanner.•Deploying EKS backend services with a Horizontal Pod Autoscaler (HPA), Namespace, Secret, Ingress. Also, we use AWS Load Balancer Controller, which is associated with an IAM OIDC provider and a service account, to enable context path routing.•Successfully setup monitoring, alters and logging system, visualized metrics and logs via Cloudwatch, Grafana and Cloudtrail. Supported Developer team for troubleshooting with Cloudwatch logs insights.

Introducing "Tasker Coming", a dynamic platform designed to streamline task delegation and completion by connecting task posters with skilled recipients. •Reduced global latency and increased the availability by introducing AWS Cloudfront.•Successfully implemented Jenkins with Master-slave nodes to lower cost and improve efficiency and multi-branch pipeline to have different environments for different branches .•To achieve high security and high traffic handle capacity, NAT, VPC subnets, Application Load Balancer, and Security Groups, NACL were designed and implemented.•Containerized the backend and pushed the image to AWS ECR for future rollback if any error occurs.•Increased high availability and efficiency of backend service by using ECS Fargate, used Locust to test our ECS Fargate auto scaling.•Enhanced database performance through MongoDB optimization and sharding techniques, resulting in improved application response times.•Used VPC and private subnets for secure communication. Established subnets in multiple availability zones and route traffic using ALB.•Increased team collaboration and productivity using JIRA, Sprint, stand-up meetings.

Our platform utilizes ChatGPT to automatically grade your written English language tasks, providing personalized feedback that enhances your preparation for IELTS assessments.•Designed CI/CD pipeline and AWS infrastructure for this project.•Successfully applied best DevOps automation practice by using Docker and CI/CD. •Deploying the Prod env backend (ECS fargate) in a private VPC subnet across different AZs.•Replaced their original pipeline tool with Bitbucket Pipeline and successfully decreased the total cost.•Used AWS CloudFormation for IaC for efficient management of the cloud infrastructure.•Successfully increased the traffic handling capability and security by introducing Application load balancer, NAT, VPC subnets and Security group.•Deployed Cloudwatch with AWS Grafana monitoring. Used Open search and Kibana for logging.•Applied CloudTrail to monitoring and logging account activities.

•Assisted the IT team in providing technical support to end-users, troubleshooting software and hardware problems.•Conducted software installations, updates, and patches to ensure system stability and security.•Provided great customer service to internal employees.•Used good communication skills to explain technical concepts to non-technical users.