Kodi Arasan
Open to work3 years experienceDevOps Engineer
DevOps Engineer | Cloud Infrastructure & Automation
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
35 skillsWork Experience
DevOps Engineer
Raos Infosoft Join Pvt Ltd
- Architected and maintained production AWS infrastructure across 3 environments (dev/staging/prod) using EC2, S3, VPC, IAM, RDS, and Route 53, achieving a 99.9% uptime SLA across all hosted applications.
- Built and owned end-to-end CI/CD pipelines in Jenkins and GitHub Actions for 20+ microservices, reducing average deployment time from ~45 minutes to under 8 minutes through parallelized pipeline stages and automated rollback mechanisms.
- Managed Kubernetes clusters (Amazon EKS) running 20+ services; authored Helm charts and defined resource quotas, Horizontal Pod Autoscaler (HPA) policies, and liveness/readiness probes, reducing pod restart incidents by approximately 40%.
- Implemented full-stack observability using Prometheus and Grafana dashboards alongside AWS CloudWatch alarms; introduced tuned alerting thresholds that cut mean time to detection (MTTD) by 30% and reduced unplanned downtime.
- Authored Bash and Python automation scripts for routine operations tasks, including log rotation, AMI backups, SSL certificate renewal, and disk monitoring, eliminating approximately 12 hours per week of manual engineering effort.
- Managed Infrastructure as Code using Terraform (modular design, remote state on S3 with DynamoDB locking) and Ansible playbooks for configuration management across a fleet of Linux servers.
QA Engineer
Raos Infosoft Pvt Ltd
- Designed and maintained a Selenium (Python) automation framework covering 200+ test cases, reducing regression testing cycle time from 3 days to under 4 hours.
- Integrated automated test suites directly into Jenkins CI pipelines, delivering continuous test feedback on every pull request and catching regressions pre-merge.
- Performed API testing using Postman and validated backend data integrity with SQL queries; logged and tracked 100+ defects through to closure in JIRA.
Projects
Theshortlistd — Recruitment Platform
- Designed a multi-AZ AWS architecture and built Jenkins-based CI/CD deployment pipelines with Grafana and CloudWatch monitoring dashboards.
- Introduced blue/green deployments, reducing deployment failures to near-zero.
VedicRemedi — Astrology SaaS Platform
- Provisioned and maintained AWS cloud hosting and built automated alerting pipelines that notified on-call staff within 60 seconds of service degradation, sustaining 99.8% uptime over 12 months.
Greenbrook Engineering — Hybrid Infrastructure
- Deployed .NET Core applications across a hybrid on-premises/AWS environment; implemented real-time CPU, memory, and disk alerting via CloudWatch, reducing incident response time by 35%.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Deployment Time Reduction
Reduced average microservice deployment time by over 80% through CI/CD pipeline optimization.
Kubernetes Stability Improvement
Cut pod restart incidents by ~40% across a 20+ service Kubernetes (EKS) environment.
MTTD Improvement
Improved mean time to detection (MTTD) by 30% by implementing Prometheus, Grafana, and CloudWatch-based alerting.
Automation Efficiency Gain
Eliminated ~12 hours per week of manual operations effort through Python and Bash automation.
Uptime SLA Maintenance
Maintained 99.9% production uptime SLA across multi-environment AWS infrastructure.
Testing Cycle Reduction
Reduced regression testing cycle time from 3 days to under 4 hours by building a Selenium automation framework.
About Details
Professional Bio
Results-driven DevOps Engineer with 3+ years of experience designing, automating, and scaling cloud-native infrastructure on AWS. Skilled in CI/CD pipeline engineering, container orchestration, Infrastructure as Code, and production monitoring.
Bachelor of Engineering in Computer Science
RVS College of Engineering, Dindigul, Tamil Nadu (2018 - 2022)