SRI VARDHAN REDDY
DevOps Engineer
About Me
I am a seasoned DevOps Engineer with 5 years of hands-on experience in the field. Additionally, I bring a strong background in Linux L2 Production Support, contributing to a robust and efficient IT infrastructure. DevOps: Expertise in implementing CI/CD pipelines, automation, and orchestration tools to optimize software delivery processes. Utilizing tools like Terraform to define and manage infrastructure in a scalable and maintainable way. Proficient in containerization technologies such as Docker, ensuring consistent deployment across different environments. Experience with orchestration tools like Kubernetes for efficient container management and scalability. Linux: Proven track record of providing L2 Production Support, ensuring the stability and performance of Linux-based systems. RHCE Certified: Recognized for proficiency in Red Hat Enterprise Linux environments, I bring a wealth of knowledge to streamline operations. I thrive in collaborative environments, working closely with cross-functional teams to bridge the gap between development and operations. My goal is to enhance efficiency, reliability, and scalability in IT infrastructures. Committed to staying ahead in the dynamic tech landscape, I actively seek opportunities for continuous learning and professional development.
Skills
- Containerization (Docker, Kubernetes)
- CI/CD (Jenkins, GitLab CI)
- Infrastructure as Code (Terraform, Ansible)
- Cloud Platforms (AWS, Azure, GCP)
- Monitoring and Logging (Prometheus, ELK Stack)
- Scripting (Bash, Python)
Projects
Project 1
AWS 3 tier architecture for a web application using EC2, RDS, and Elastic Load Balancer. Created a highly available and scalable 3-tier web application on AWS. Utilized EC2 for compute, RDS for database, and Elastic Load Balancer for traffic distribution. Implemented security groups and IAM roles for enhanced security.
Project 2
Complete CI/CD pipeline for a web application using Jenkins, Docker, and Kubernetes. This project also integrates Nexus for artifact management, ensuring efficient storage and retrieval of build artifacts. Leveraged Linux for server management and automation, utilizing Terraform for infrastructure as code to provision and manage cloud resources. Developed automation scripts in Python and Shell scripting to streamline deployment processes and enhance operational efficiency.