Prathamesh Kadgi
@prathameshkadgi1
DevOps Engineer with 3+ yrs in AWS/GCP, CI/CD, Kubernetes, Terraform, and cloud-native infra.
What I'm looking for
My career has been driven by a passion for cloud technologies, automation, and solving complex problems through efficient systems engineering. Professionally, I’ve worked at Infosys Ltd., where I was responsible for managing hybrid cloud environments across AWS and GCP. I played a critical role in automating infrastructure provisioning using Terraform, Ansible, and CloudFormation, which significantly accelerated release cycles and improved infrastructure reliability. I also administered Linux and Windows servers, ensured compliance through system hardening and patch management, and led containerization efforts using Docker and Kubernetes—migrating legacy apps to cloud-native architectures.
A key part of my success has been implementing robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions, which reduced deployment errors by up to 30%. I integrated monitoring solutions like Prometheus, Grafana, and CloudWatch to reduce Mean Time to Recovery (MTTR) to under 30 minutes. Additionally, I contributed to security and observability with tools like Trivy, ELK Stack, and HashiCorp Vault.
Experience
Work history, roles, and key accomplishments
Reduced manual infrastructure setup time by 70% by provisioning a 10-node production cluster using Terraform and Ansible.
Cloud Engineer
Mohor Design
Nov 2021 - Apr 2022 (5 months)
I was Cloyd Engineer at Mohor Designs.
Achievement - Migrated legacy apps to Kubernetes (EKS) with Helm, improving scalability and reducing errors by 40%.
Education
Degrees, certifications, and relevant coursework
Pune University
Bachelor of Engineering (B.E.), Civil Engineering
2017 - 2021
Activities and societies: Certifications: AWS Certified Cloud Practitioner, DevOps Certification.
Completed a Bachelor of Engineering in Civil Engineering. The curriculum covered various aspects of civil engineering principles and practices.
Tech stack
Software and tools used professionally
Google Cloud Platform
Google Compute Engine
Google Cloud Storage
GitHub
GitLab
Kubernetes
Argo
Flux CD
Jenkins
GitHub Actions
GitLab CI
Gmail
Terraform
AWS CloudFormation
AWS Cloud Development Kit
Python
PowerShell
AWS Elastic Load Balancing ...
AWS CloudTrail
Istio
Grafana
Prometheus
Nagios
Google Cloud Bigtable
Ubuntu
CentOS
Linux
Windows
Windows Server
Ansible
AWS Lambda
Docker
VMware vSphere
Root Cause
AWS Elastic Beanstalk
Amazon Web Services (AWS)
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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