Nagesh U

• Client : HSBC
• Role : Implementation Engineer
• Role :SRE
• Technology: Grafana, Promethues,Splunk,Docker
• Managing high-availability production environments with AWS and Kubernetes
• Managed AWS services on a daily basis, ensuring seamless operation and cost-effective solutions across various projects
• Define and measure SLAs, SLOs, and SLIs to track and improve service reliability
• Perform root cause analysis and resolve or escalate issues based on severity and SLA
• Monitored pipeline execution and proactively addressed potential problems.
• Design and build automation tools to monitor, alert, recover, and scale infrastructure
• Providing 24x7 support and handling incident resolution
• Implementing CI/CD pipelines using Jenkins and GitLab
• Implement observability and monitoring solutions using tools like Prometheus, Grafana,, or Splunk

• Roles & Responsibilities:
• Automated deployments using Terraform and Puppet
• Designed and implemented Pipelines for continuous integration and deployment (CI/CD) workflows.
• Automated deployment of infrastructure changes with Terraform, ensuring faster and more reliable deployments
• Handling the On call and troubleshooting the issues.
• Maintained CI/CD pipelines, handled SSL renewals and OS patching
• Monitored pipeline execution and proactively addressed potential problems.
• Creating SOP documents for the Projects Implementation.
• Conduct incident response and postmortems drive root cause analysis and implement fixes
• Provided L2 support for infrastructure and application issues

Project 1

Project Name: TRINITYRESPOND CAD (COMPUTER AIDED DISPATCH SYSTEM)

Client : AP108

Role : Implementation Engineer

Technology : GIT, Maven, Jenkins, Nexus, Tomcat, Windows, Linux, MSSQLDocker, Nginx, Apache, Shell scripting, Jira.

Roles & Responsibilities:

• Implemented Jenkins pipelines and managed Docker deployments
• Monitored and optimized AWS infrastructure
• Maintained code repositories and performed release activities
• Installation, Configuration, Maintenance, experience of source code management systems, like GIT.
• Administration/Maintenance of continuous integration build engines using Jenkins.
• Create Jenkins Jobs to automate Build compilation and deploy to QA/Pre-Prod environments.
• Setup Docker in all QA/Pre-prod/Prod environments and managing Docker private repository.
• Automated application containerization by writing Dockerfile and creating images. Application environment will be automatically built with given number of containers with application setup out of box.
• Created pipelines for continuous integration builds and deployments in Jenkins.
• Playing the role of Release Engineer by supporting developers for subversion configuration spec creation, branching, and deliveries to the integration branch.
• Participated in Release meetings to finalize Release with developers/QA/Project Management and discuss backup plan.

Project 2

Project Name : AUCD smartcity

Client : Honeywell Egypt

Role : SRE Engineer (Onsite 6 Months)

Technology : GIT, Maven, Jenkins, Nexus, Tomcat, Windows, Linux, MSSQLDocker, ,Nginx, Apache

Roles & Responsibilities:

• Design, develop, and maintain infrastructure automation using Puppet
• Validating the ICT as per give requirement
• Set up end-to-end architecture for new projects, covering all essential cloud services and ensuring scalability, availability, and security.
• Installed, Configured and Maintained Ubuntu Linux in AWS environment.
• Setup CICD deployment process for micro services using docker, EKS, Jenkins and Kubernetes.
• Strong Knowledge in Nginx and HA proxy
• Have set up Jenkin/GIT/BitBucket Integration CI tools..
• Set up and managed artifact storage and Docker registry with Nexus Repository to centrally store and manage builds and Docker images.
• Working in Agile framework CI – CD process and updating daily status in the scrum meeting.
• Has hand on experience in managing & monitoring large number of Linux servers in a distributed system.

• Collaborated with technical teams for prompt problem resolution and effective troubleshooting.
• Monitoring the data-center for any downtime, proactively alerting the teams in case of any errors.
• Proactively diagnosed errors, optimized system performance, and implemented updates for stability.