Ramesh Raj

• Over 10 years of experience as a DevOps Architect and Software Developer, specializing in deploying, automating, and optimizing operations and development processes.
• Expertise in key technologies such as AWS, Python, Jenkins, Terraform, Docker, Docker Compose, C, Embedded C, LUA, and Shell Scripting.
• Proficient in managing PostgreSQL, Hasura, and MySQL databases, with extensive experience in server Linux environments (e.g., Raspberry Pi, iGATE) and SOLAR SCADA systems.
• Strong foundation in web application development and networking concepts, capable of troubleshooting complex issues across diverse environments.
• Demonstrated excellent interpersonal skills; committed and results-oriented, with a proven track record of being hardworking and eager to learn new technologies and tackle challenging tasks.

VAPT WEB Application & Load Test (FEB 2024) 

Technology: Docker container,Grafana, ZAP, Jmeter.

Description: Led the VAPT and Load Testing for a web application using Docker,  Grafana, ZAP, and JMeter in February 2024, focusing on security  vulnerabilities and performance optimization under high-load conditions.

Contribution: Designed Docker-based test environments, integrated Grafana for  real-time analytics, conducted security assessments with ZAP, and  performed stress tests using JMeter, enhancing application robustness  and performance efficiency. Collaborated with development teams to  implement security and performance recommendations effectively.

Logical Replication PostgreSQL (NOV 2023) 

Technology: PostgreSQL, TimescaleDB, Docker-compose, Grafana, Nginx.

Description: Implemented logical replication for PostgreSQL databases, integrating TimescaleDB, Docker-compose, Grafana, and Nginx to enhance data availability and resilience across distributed environments in November 2023.

Contribution: Engineered a scalable replication solution, optimized data handling with  TimescaleDB, streamlined deployments with Docker-compose, and improved  monitoring and load balancing using Grafana and Nginx, enhancing system  performance and reliability.

Raise Application (AUGUST 2022)

Technology: Bash script,Docker container,Nextjs,Nestjs and Hasura, Graphql, Lambda, Cognito,YAML, Grafana.

Description: It will be CI/CD (Continuous integration and continuous Deployment) of the Development code with Load-balancer and Network & complete Architecture design of application.

Contribution: I took full ownership of this first project, I have started Architecture design, Continues integration and continuous deployment,Network design,Security optimization, cost driven Architecture using bitbucket,AWS,Docker Hub,AWS lambda and completed the whole project successfully. From scratch I have created the bash-script for getting the dynamic value from the pipeline and it will be reflected in the docker container.

SMCR Application Deployment  (June 2020)

Technology: AWS cloud,Bash script,Docker container,React and Java.

Description: It will be CI/CD (Continuous integration and continuous Deployment) of the Development code with Load-balancer.

Contribution: I took full ownership of this first project I have started Continues integration and continuous deployment using bitbucket and completed the whole project successfully. From scratch I have created the bash-script for getting the dynamic value from the pipeline and it will be reflected in the docker container.

Lambda Deployment (Serverless function)  (June 2020)

Technology: AWS, Bash script,Terraform, Yaml.

Description: It will be CI/CD (Continuous integration and continuous Deployment) of the Development code and deploy the code in to multiple region for the Dev, Staging and Production.

Contribution: I took full ownership of this first project I have started Continues integration and Continues deployment using bitbucket and completed the whole project successfully. From scratch I have created the terraform modules and bash-script for value from the pipeline and it will be reflected in the Lambda.

Grafana Server hosting in Cloud (May 2018) 

Technology: AWS EC2 instance,Ubuntu, Docker, Docker-compose, Bash, Python.

Description: Deployed Grafana Server on AWS EC2 with Ubuntu, Docker, and Docker-compose to transition iPlon’s local LabVIEW-controlled  systems, including iGate servers and inverters, to cloud-based  management, ensuring seamless remote operation and monitoring.

Contribution: Led the project from conception through deployment, designing and implementing solutions using Ubuntu, Docker, Docker-compose, Bash, and Python to enhance control and scalability of iPlon’s infrastructure.

All the above information provided in this CV is correct and can be supported by documents, if and when required.