kajal bairagi

Rajiv Gandhi College Of Engineering And Technology

Nagpur, Maharashtra, India

Since April 17, 2026

About

DevOps Engineer with 3+ years building reliable, observable, and automated systems on AWS. Improved incident response by 25% and reduced MTTR using Prometheus/Grafana, while cutting deployment cycles by 40%. Focused on developer productivity and platform reliability, owning CI/CD pipelines, internal tooling (Jenkins, Git, GitHub), and Kubernetes‑based delivery workflows. Owns the platform stack from Terraform‑provisioned AWS infrastructure to Ansible‑managed configuration and GitOps workflows. Experienced collaborating with distributed teams via Jira, Git; passionate about reducing toil and improving developer experience.

Skills

CiCdLinuxCloud InfrastructureAWS Cloud ServiceBusiness Plan ConsultantsDevOpsDocker / KubernetesDebuggingGovernanceGitOps workflowsDockerCi Cd PipelinesGraphqlTerraformJiraApi TestingMonitoring

Education

Rajiv Gandhi College Of Engineering And Technology

B.E · Electronics and communication

July 31, 2015 – June 19, 2019

Key Strengths

Extensive experience (3+ years) as a DevOps Engineer, aligning well with the target role.
Strong proficiency in AWS services (EKS, EC2, S3, RDS, IAM, VPC, ELB, Lambda, CloudWatch) and Infrastructure as Code (Terraform, CloudFormation).
Demonstrated expertise in CI/CD pipeline design and implementation using Jenkins, GitLab CI, GitHub Actions, and ArgoCD.
Solid understanding and practical experience with containerization and orchestration technologies (Docker, Kubernetes/EKS).
Proficient in configuration management (Ansible) and monitoring/logging tools (Prometheus, Grafana, CloudWatch Logs).
Experience in security hardening (IAM policies, WAF rules) and cost optimization within AWS environments.
Proven ability in troubleshooting, root cause analysis, and incident management, contributing to reduced MTTR.
Strong focus on automation, continuous improvement, and cross-team collaboration, which are critical for a DevOps culture.
High ownership and reliability mindset, indicating readiness for production responsibility.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a significant concern, as it directly evaluates aspects like logical reasoning, work attitude, stress handling, and team collaboration, which are crucial for cultural fit. While the resume indicates positive traits such as 'Cross-team collaboration' and 'High ownership & reliability mindset', the complete lack of a positive score in the dedicated assessment means there is insufficient validated data to confidently assess cultural fit. This area requires immediate and thorough follow-up.

Soft Skills & Operational Fit

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Key Strengths

Extensive experience (3+ years) as a DevOps Engineer, aligning well with the target role.
Strong proficiency in AWS services (EKS, EC2, S3, RDS, IAM, VPC, ELB, Lambda, CloudWatch) and Infrastructure as Code (Terraform, CloudFormation).
Demonstrated expertise in CI/CD pipeline design and implementation using Jenkins, GitLab CI, GitHub Actions, and ArgoCD.
Solid understanding and practical experience with containerization and orchestration technologies (Docker, Kubernetes/EKS).
Proficient in configuration management (Ansible) and monitoring/logging tools (Prometheus, Grafana, CloudWatch Logs).
Experience in security hardening (IAM policies, WAF rules) and cost optimization within AWS environments.
Proven ability in troubleshooting, root cause analysis, and incident management, contributing to reduced MTTR.
Strong focus on automation, continuous improvement, and cross-team collaboration, which are critical for a DevOps culture.
High ownership and reliability mindset, indicating readiness for production responsibility.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit