Gauransh
Hyderabad
Summary
Results-driven DevOps Engineer with approximately 2 years of hands-on experience in cloud environments, including AWS, Azure, and OCI. Proficient in designing and implementing CI/CD pipelines using tools such as Jenkins and DevOps, with expertise in containerization technologies like Docker and Kubernetes. Skilled in optimizing Linux systems and streamlining operations, focusing on managing infrastructure within AWS Cloud. Adept at leveraging scripting languages such as Python and Terraform for Infrastructure as Code (IAC) to enhance automation and efficiency.
Overview
2
2
years of professional experience
2
2
Certificate
Work History
Cloud Engineer
Cloud4C Services
06.2024 - Current
- Spearheaded the implementation of AWS DevOps, Azure DevOps best practices, facilitating the seamless adoption of the microservice architecture and ensuring 99% application uptime.
- Deployed pod-level and node level scaling strategies utilizing Horizontal Pod Autoscaler (HPA) and replica sets, optimizing system performance of Client Projects to handle up to 2,00,000 concurrent requests.
- Implemented Jenkins CI/CD and AWS CodePipeline for 20+ Client apps, achieving 90% faster deployments; adopted GitOps with ArgoCD for seamless continuous delivery.
- Proficient in utilizing Gradle for over 5 Java projects, NPM for 10+ JavaScript projects, and pip with venv for Python scripts, ensuring automated build processes, reducing build-related errors by 30%.
- Provisioned 30+ infrastructure components—including VPCs, EKS clusters, EC2, Code Pipeline, and Lambda functions—using Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
- Embedded SAST (SonarQube) and DAST (OWASP ZAP) into Jenkins pipelines to automate code and application security checks; continuously monitored the stack for performance and vulnerabilities.
- Set up CI pipelines for Android Mobile Applications leveraging build tools like Gradle for Java Applications.
- Installed Prometheus and Grafana in Kubernetes for monitoring and alerting, enhancing system visibility.
- Explored Agentic AI for building agents for automation of basic alert monitoring, infrastructure provisioning.
Cloud Intern
DevOps Intern
02.2024 - 05.2024
- Automated AWS reporting with Python (Boto3) to extract usage, security, and cost metrics; integrated Lambda, EventBridge, S3, and Developer Tools, saving 12+ hours/week per engineer
Education
B.E - Computer Science and Engineering
Chandigarh University
Mohali05.2024
Skills
- Languages: Programing skills in Python, C, Typescript
- DevOps Tools: Git, Github, Gitlab, Jenkins, Azure DevOps, AWS DevOps, Docker, Helm, ArgoCD, Sonarqube, OWASP ZAP, Kubernetes (EKS, AKS, OKE, Kubeadm), Prometheus and Grafana
- Cloud: IaaS, PaaS, SaaS, AWS Lambda, Code Pipeline, Code Build, Code Guru, ECR, Code Deploy, Event Bridge, API Gateway, S3, Quicksights, Security Hub, Athena, EC2, RDS, SNS, SES
Certification
- AWS Cloud Practitioner
- AWS Associate Architect
Timeline
Cloud Engineer
Cloud4C Services
06.2024 - Current
Cloud Intern
DevOps Intern
02.2024 - 05.2024
B.E - Computer Science and Engineering
Chandigarh University
Personal Projects
Real-time AWS Inventory Management Dashboard, Orchestrated the development of an AWS Dashboard utilizing React.js and AWS SDK, providing real-time monitoring of resource utilization, which can reduce alert fatigue by 50% for engineers.