my resume

Shashank
Kumar Singh

Shashank Kumar Singh

DevOps & Cloud Engineer · B.Tech CSE · UEM Jaipur '26

// Professional Summary

Aspiring DevOps Engineer with practical experience in designing CI/CD pipelines, automating cloud infrastructure, and deploying applications on AWS. Proficient in Docker, Kubernetes, Terraform, and GitHub Actions, with exposure to DevSecOps practices including security scanning and monitoring. Strong problem-solver focused on building scalable and efficient systems.

// Experience

DevOps Engineer Intern

WebArclight · Remote

Oct 2025 – Dec 2025
  • Automated Workflows: Engineered CI/CD pipelines using GitHub Actions and Jenkins, reducing manual deployment overhead and ensuring consistent build/test cycles.
  • Security Hardening: Integrated SonarQube, Snyk, and Trivy into CI/CD pipelines — 40% faster identification of vulnerabilities before production.
  • Identity Management: Implemented OIDC-based authentication for AWS, eliminating risks of long-lived IAM credentials.
  • Secret Management: Migrated hardcoded configurations to AWS Secrets Manager for compliance and centralized credential rotation.
  • Observability: Built Grafana dashboards and Prometheus exporters to monitor application health, reducing MTTD for system alerts.
GitHub ActionsJenkinsSonarQubeSnykTrivyAWSOIDCSecrets ManagerPrometheusGrafana

// Projects

CloudCart — DevSecOps EKS Pipeline

Terraform · GitHub Actions · ArgoCD · Helm · AWS EKS

View
  • Architected a full GitOps pipeline to deploy containerized microservices to AWS EKS using ArgoCD.
  • Automated infrastructure provisioning with Terraform, ensuring environment parity between Dev and Prod.
  • Applied Shift-Left security by integrating Checkov and tfsec to scan IaC templates for misconfigurations during the PR stage.
  • Deployed and managed 3+ microservices on AWS EKS — reduced deployment time by 30% using GitOps pipeline.

AWS Free Tier Usage Monitor

Python · boto3 · AWS Cost Explorer · GitHub Actions · Streamlit

View
  • Developed a serverless monitoring tool using Boto3 to track real-time AWS cost and usage data across 4 services.
  • Automated reporting via GitHub Actions — alerts when usage exceeds 80% of Free Tier limits.
  • Built a Streamlit dashboard for visualization, reducing manual infrastructure tracking effort.

AWS CLI Automation Tool (aws-ops)

Python · boto3 · AWS EC2

View
  • Built a Python CLI to manage cross-region EC2 lifecycles (Start/Stop/Status).
  • Streamlined routine cloud operations, reducing time spent on manual AWS Console navigation.

// Technical Skills

Cloud AWS — EC2, S3, RDS, Lambda, ECR, EKS, IAM, Secrets Manager, CloudWatch, Cost Explorer
DevOps GitHub Actions, Jenkins, ArgoCD (GitOps), Docker, Kubernetes, Helm
IaC Terraform, Ansible, Checkov, tfsec
Security Trivy, Snyk, SonarQube, OIDC Auth, Shift-Left Security
Monitoring Prometheus, Grafana, Alertmanager, AWS CloudWatch
Backend Python (Flask, Django, boto3), SQL, REST API Development, Streamlit

// Education

B.Tech — Computer Science & Engineering

University of Engineering & Management, Jaipur

Aug 2022 – Jun 2026

CGPA: 7.5 / 10  ·  Relevant: Cloud Computing, OS, DBMS, Computer Networks, Distributed Systems

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