DevOps Engineer with 3+ years building, automating and scaling cloud infrastructure on AWS. Specialized in CI/CD, Kubernetes, Terraform, and production reliability. Proven track record reducing costs, improving deployment speed and maintaining high-availability systems.
Key Focus Areas
Cloud Automation
Site Reliability
Production Monitoring
Incident Management
High Availability
DevSecOps
Career Journey
1
2015-2019
Bachelor of Engineering at Sri Jagadguru Chandrasekaranathaswamiji Institute of Technology, Chickballapur
2
2020-2021
Transaction Risk Investigator at Amazon, analyzing high-risk transactions and fraud patterns
3
2022-Present
DevOps Engineer at Sidhma BV, building cloud infrastructure and CI/CD pipelines
DevOps Engineer at Sidhma BV
April 2022 – Present
Bangalore, Karnataka
40+
CI/CD Pipelines
Built from scratch with zero downtime
95%
Faster Deployment
Using Terraform automation
55%
Cost Reduction
Through optimization practices
30%
Fewer Issues
Via Docker Swarm implementation
Key Technical Achievements
Kubernetes Mastery
Deployed and managed production environments using AWS EKS singlehandedly. Handled pod scheduling, resource issues and networking bottlenecks to enhance cluster stability.
Microservices Migration
Successfully migrated monolithic applications to microservices using Docker within 2 months. Created 40+ Dockerfiles for automatic deployments.
Automation Excellence
Automated tasks with Bash and Python scripts, increasing productivity by 25% and slashing errors by 60%. Streamlined operations across teams.
Security Leadership
Led security initiatives implementing Wazuh for threat detection. Completed comprehensive security audits including PCI, SARDIS, ISO, and VAPT.
Amazon Experience
September 2020 – May 2021
Transaction Risk Investigator
Risk Investigation
Investigated high-risk seller transactions to identify and mitigate ecommerce fraud and abuse. Analyzed transaction patterns using internal tools to ensure compliance with Amazon policies.
Key Responsibilities
Made independent, high-accuracy decisions with minimal supervision
Documented detailed case annotations for audit review
Communicated with sellers and stakeholders to resolve risk issues
Met strict productivity and quality metrics on complex cases