Kaviyageetha Murugesan

Anna University

Tiruppur, Tamil Nadu, India

Since April 20, 2026

Skills

CiCdLinuxCloud InfrastructurePythonAWS Cloud ServiceSQLDevOpsDocker / KubernetesPostmanAWSTerraform CloudMysqlAzureSQL ServerDockerCi Cd PipelinesCloud PlatformsTerraformMonitoringSite Reliabilityincident managementSite Reliability EngineeringObservabilityGithubGrafanaPrometheusInfrastructure As CodeAws Cloud ArchitectureIncident ResponseVersion ControlAws ServicesAgile Development

Education

Anna University

B.E · Instrumentation and control Engineering

August 15, 2017 – March 30, 2021

Key Strengths

Strong foundational knowledge in AWS and Terraform, as evidenced by the completed technical test and resume.
Practical experience with CI/CD pipelines using Jenkins and GitHub Actions.
Familiarity with monitoring tools like Prometheus, Grafana, and Mimir.
Exposure to container management with Docker and ECS, with some Kubernetes exposure.
The candidate's skills and projects align well with the 'Cloud DevOps Engineer' target role, particularly in infrastructure as code, CI/CD, and monitoring.

Skill Analysis

AWS Infrastructure Provisioning with Terraform

★★★★★

63%

The candidate achieved 63% on a test focused on provisioning a small AWS environment using Terraform. This score suggests a foundational understanding of the core concepts and tools but indicates areas where deeper knowledge or practical application might be lacking for a middle-level role.

AWSTerraformVPCEC2EIPEBSNetworkingInfrastructure as CodeCloud Provisioning

Strengths

Demonstrated foundational understanding of core AWS services (EC2, VPC, EBS, EIP).
Ability to use Terraform for basic infrastructure provisioning.
Familiarity with creating a private subnet within a VPC.

Limitations

Performance indicates potential gaps in advanced Terraform configurations or AWS networking nuances.
May lack depth in error handling, state management, or modularity within Terraform.
Possible areas for improvement in security group configurations or resource tagging best practices.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 65% suggests a moderate cultural fit, particularly concerning work attitude and team collaboration. This indicates the candidate possesses a baseline level of alignment but may require further development or specific team dynamics to thrive optimally.

Soft Skills & Operational Fit

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