An astute professional with 3.8 Years of total working experience and 5 months of working experience in AWS Cloud services and DevOps tools such as GIT, Jenkins, Docker, Ansible, Maven, etc. To obtain a challenging posit…
An astute professional with 3.8 Years of total working experience and 5 months of working experience in AWS Cloud services and DevOps tools such as GIT, Jenkins, Docker, Ansible, Maven, etc. To obtain a challenging position in enterprise application integration environment where technology integrates with business functionalities to enhance business process I look forward to the opportunities where I can use my analytical skills in combination with technical expertise to improve all phases of enterprise development, implementation, and maintenance
This is a campaign Automation and Analytics platform that is used to give overall
insights of apps along with engagement with app and users.
▪ I have experience in Azure cloud as well.
▪ In direct connect for VMs with cloud team as E2E/AZURE/G7.
▪ Install and configure software, hardware and networks
<p>Worked on Azure cloud.<br>
Worked in direct connect for VMs with cloud team as E2E/AZURE/G7.<br>
Installed and configured software, hardware, and networks.<br>
Ensured security and efficiency of IT infrastructure.<br>
Monitored system performance and troubleshot issues.<br>
Identified system requirements and installed upgrades.<br>
Maintained, secured, and upgraded a web system.<br>
Created backups and safeguarded data.<br>
Managed large production servers and deployments, ensuring high availability and optimal performance.<br>
Developed Jenkins declarative pipelines to reduce deployment speed by 80%.<br>
Configured NGINX web server to buffer attacks, DoS attacks, session hijacks, and HTTP smuggling and improve web server speed.<br>
Set up highly available MongoDB, Postgres, and Redis clusters to ensure data durability and accessibility.<br>
Deployed and monitored code changes, ensuring smooth and error-free releases.<br>
Dockerized applications and services for easy deployment and scaling.<br>
Tuned the OS at granular level to handle thousands of connections without timing out for MongoDB, PostgreSQL, and Redis.<br>
Installed enterprise-grade services on the systems to support business operations.<br>
Visualized data using Metabase to provide insights and drive decision-making.<br>
Worked on implementing AWS using EC2, S3, RDS, ECS, Elastic Load Balancer, and Auto Scaling groups.<br>
Supported the application in production and worked closely with Performance, QA, and Prod support teams.<br>
Responsible for installing Jenkins master and slave nodes.<br>
Created branches and tags in Git and managed access for users.<br>
Troubleshot scripted and declarative pipeline issues.<br>
Built code and packaged it to WAR/EAR using Maven and deployed it to corresponding web or app servers.<br>
Implemented continuous delivery and an appropriate deployment pattern.<br>
Performed infrastructure monitoring with CloudWatch and CloudWatch logs.<br>
Created S3 buckets and managed object lifecycle.<br>
Created MySQL DB in RDS and maintained backups and read replicas.<br>
Created Jenkins jobs for multiple automation tasks as well as build and QA automation testing.<br>
Maintained QA Automation Framework in GIT for corresponding releases.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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