Sai Liteesh

AWS Devops Engineer

Chennai

Summary

DevOps Engineer with 3.2 years of experience in automating cloud infrastructure, managing deployments, and supporting containerized applications on AWS and GCP. Skilled in writing Infrastructure as Code using Terraform, Ansible and Groovy for building CI/CD pipelines, and managing Kubernetes clusters. Proficient in python scripting and passionate about learning and implementing best practices in cloud operations and DevOps workflows. Good exposure to AI tools like ChatGPT, Claude and Gemini

Overview

years of professional experience

years of post-secondary education

Certification

Work History

AWS DevOps Engineer

Maveric Systems

07.2021 - 08.2024

Developed and maintained Infrastructure as Code (IaC) scripts using Terraform to provision AWS and GCP resources like EC2, S3, and Compute Engine.
Automated application deployments by building CI/CD pipelines using Jenkins, GitLab CI, and Github Actions.
Deployed and managed containerized applications on Kubernetes (EKS) using Helm charts.
Wrote Python and Bash scripts for automation tasks, including system monitoring and deployment scripts.
Monitored cloud resources and application performance using AWS CloudWatch, Prometheus, and Grafana.
Supported Docker containerization and basic Kubernetes administration tasks.
Applied basic security configurations including IAM policies, security groups, and S3 bucket permissions.

Education

B.Tech - E.C.E

KL University

Vijayawada, AP

07.2016 - 04.2020

Skills

Cloud Platforms: AWS (EC2, S3, IAM, CloudWatch, EKS)

Scripting: Python, Bash

Infrastructure as Code: Terraform, Ansible

CI/CD Tools: Jenkins, GitLab CI/CD, Github Actions

Monitoring Tools: CloudWatch, Prometheus, Grafana

Version Control: Git, GitHub

Containers: Docker, Kubernetes (EKS)

Operating Systems: Linux (Ubuntu, CentOS, Amazon Linux)

Other Tools: AWS CLI

IDE Tools: Cursor, ChatGPT

Certification

AWS Cloud Practitioner

Interests

Badminton, Volleyball and Cricket

Timeline