Sharminthraj V

Coimbatore, Tamil Nadu, India

Since April 16, 2026

About

DevOps Engineer with 4 years of experience in developing and automating CI/CD pipelines, focusing on build and release engineering for AI-based enterprise applications on cloud platforms. Proficient in building scalable git-ops based CI/CD workflows using Jenkins, integrating Git-based version control systems including GitHub, artifact management, working with enterprise-grade repositories. Skilled in Python automation for DevOps workflows and experienced with AWS services such as EKS, VPC, IAM, EC2, S3, RDS Route53, ELB and GCP service GKE. Experienced in containerization and orchestration using Docker and Kubernetes (EKS/GKE), including HPA, RBAC, Ingress Controller, Gateway API and Canary deployment approach. Monitored application metrics using Prometheus and Grafana tools to ensure performance, reliability, and proactive alerting. Production support by handled high-priority issues and tracking incidents using JIRA.

Skills

AWSTerraformKubernetesDockerJenkinsContinuous IntegrationContinuous DeploymentArgo CDPrometheusGrafanaPythonBash

Key Strengths

Strong experience (4 years) in DevOps, CI/CD, and build/release engineering, specifically for AI-based enterprise applications on cloud platforms.
Extensive hands-on experience with AWS services (EKS, VPC, IAM, EC2, S3, RDS, Route53, ELB) and GCP service GKE.
Proficiency in containerization and orchestration using Docker and Kubernetes (EKS/GKE), including advanced concepts like HPA, RBAC, Ingress Controller, Gateway API, and Canary deployment strategies.
Expertise in Infrastructure as Code (IaC) with Terraform and Ansible, including creating reusable modules and utilizing dynamic inventories.
Proficient in CI/CD pipeline automation using Jenkins (declarative/Groovy), GitHub Actions, and ArgoCD for continuous deployment strategies (blue/green, canary).
Skilled in monitoring and alerting with Prometheus and Grafana, including custom dashboards and alerts.
Experience with Python and Bash scripting for automation and deployment tasks.
Demonstrated ability to provide on-call production support and troubleshoot application runtime incidents.
Holds AWS Certified Cloud Practitioner certification.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test, which evaluates 'work attitude', 'stress handling', and 'team collaboration', has a score of 0. Therefore, cultural fit cannot be assessed based on the provided assessment data.

Soft Skills & Operational Fit

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Key Strengths

Strong experience (4 years) in DevOps, CI/CD, and build/release engineering, specifically for AI-based enterprise applications on cloud platforms.
Extensive hands-on experience with AWS services (EKS, VPC, IAM, EC2, S3, RDS, Route53, ELB) and GCP service GKE.
Proficiency in containerization and orchestration using Docker and Kubernetes (EKS/GKE), including advanced concepts like HPA, RBAC, Ingress Controller, Gateway API, and Canary deployment strategies.
Expertise in Infrastructure as Code (IaC) with Terraform and Ansible, including creating reusable modules and utilizing dynamic inventories.
Proficient in CI/CD pipeline automation using Jenkins (declarative/Groovy), GitHub Actions, and ArgoCD for continuous deployment strategies (blue/green, canary).
Skilled in monitoring and alerting with Prometheus and Grafana, including custom dashboards and alerts.
Experience with Python and Bash scripting for automation and deployment tasks.
Demonstrated ability to provide on-call production support and troubleshoot application runtime incidents.
Holds AWS Certified Cloud Practitioner certification.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit